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Most Influential Data Science Innovators Defining the Future in 2024<br>Dr. Mohammad Hossein Amirhosseini, a ufb01gure of renown in the ufb01eld, is celebrated for his leadership in bridging the gap between AI advancements and practical applications.<br>
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VOL - 10 | ISSUE- 01 |2024 Dr Mohammad Hossein Amirhosseini Associate Professor in Computer Science and Digital Technologies University of East London
E E E E The Rise of Data Science Innovators D ata science happens to be one of those new fields that shapes the industries and drives the decisions. As the innovators in the field of data science are using advanced techniques in extracting meaningful insights from vast amounts of data, a recent study indicates that by 2024 the market size for data science all over the world will move from about $37.9 billion in 2019 to over $140 billion. It makes use of all the tools and methodologies, including machine learning and artificial intelligence, to identify trends and patterns. Today, 70% of the organizations have adopted data- driven strategies to improve operations. This does not only add efficiency but profitability to the organization as well. Organizations that implement data-driven decision-making are 23 times likely to get new customers while retaining the old ones six times over. Editor’s Desk Editor’s Desk Moreover, data science impacts almost every other sector apart from service industries, including health, finance, and marketing. For example, in the health sector, predictive analytics can enhance the outcomes of patients by predicting unmet medical needs. Algorithmically, in finance, fraudulent activity can be detected immediately through real-time mechanisms to protect businesses and consumers. And while the demand for insights based on facts is becoming increasingly greater, the work of innovators in data science will be more precious and valuable. Rather than simply looking at numbers, they are revolutionizing how organizations work and make decisions, an uncertain world is becoming increasingly complex by the day. Bringing about such innovation will be necessary for anyone who looks to succeed in the new economy. The latest issue of The CIO Leaders, in its latest edition titled Most Influential Data Science Innovators Defining the Future in 2024, featuresa selection of pioneers who are directing the domain of data science. This edition highlights the contributions of key figures and organizations that are pushing the boundaries of what is possible with data analytics and machine learning. Have a good read ahead!
E E E E The Rise of Data Science Innovators D ata science happens to be one of those new fields that shapes the industries and drives the decisions. As the innovators in the field of data science are using advanced techniques in extracting meaningful insights from vast amounts of data, a recent study indicates that by 2024 the market size for data science all over the world will move from about $37.9 billion in 2019 to over $140 billion. It makes use of all the tools and methodologies, including machine learning and artificial intelligence, to identify trends and patterns. Today, 70% of the organizations have adopted data- driven strategies to improve operations. This does not only add efficiency but profitability to the organization as well. Organizations that implement data-driven decision-making are 23 times likely to get new customers while retaining the old ones six times over. Editor’s Desk Editor’s Desk Moreover, data science impacts almost every other sector apart from service industries, including health, finance, and marketing. For example, in the health sector, predictive analytics can enhance the outcomes of patients by predicting unmet medical needs. Algorithmically, in finance, fraudulent activity can be detected immediately through real-time mechanisms to protect businesses and consumers. And while the demand for insights based on facts is becoming increasingly greater, the work of innovators in data science will be more precious and valuable. Rather than simply looking at numbers, they are revolutionizing how organizations work and make decisions, an uncertain world is becoming increasingly complex by the day. Bringing about such innovation will be necessary for anyone who looks to succeed in the new economy. The latest issue of The CIO Leaders, in its latest edition titled Most Influential Data Science Innovators Defining the Future in 2024, featuresa selection of pioneers who are directing the domain of data science. This edition highlights the contributions of key figures and organizations that are pushing the boundaries of what is possible with data analytics and machine learning. Have a good read ahead!
C O N P r o fi l e s 22 Greg Townsend Harnessing Data and Analy?cs to Transform Healthcare T E 30 Inspiring Future Generations: Poornima Ramaswamy’s Adept Approach in Data and Artificial Intelligence N T A r t i c l e s 08 S 18 Ethical Considerations in Generative AI and Deepfake Technologies Dr Mohammad Hossein Amirhosseini Leading Digital Technologies and AI Innova?on in Educa?on 26 The Convergence of IoT and Data Science: Smart Solutions for Tomorrow C o v e r S t o r y
C O N P r o fi l e s 22 Greg Townsend Harnessing Data and Analy?cs to Transform Healthcare T E 30 Inspiring Future Generations: Poornima Ramaswamy’s Adept Approach in Data and Artificial Intelligence N T A r t i c l e s 08 S 18 Ethical Considerations in Generative AI and Deepfake Technologies Dr Mohammad Hossein Amirhosseini Leading Digital Technologies and AI Innova?on in Educa?on 26 The Convergence of IoT and Data Science: Smart Solutions for Tomorrow C o v e r S t o r y
CREDITS D Merry D'Souza Editor-in-Chief Company Name AltaMed Health Services University of Brane Group PivotX Advisors BiUP.ai Featured Person Brief Greg Townsend brings over 25 years of expertise in healthcare analytics, driving strategic data initiatives to enhance Mohammad Hossein Amirhosseini is an academic leader MV Yugandhar excels in data governance and strategy, Poornima Ramaswamy is an entrepreneurial visionary Ranjan (Ranji) Saksena focuses on integrating cutting-edge Greg Townsend Senior VP & Chief Data and Analytics Of?icer altamed.org East London braneenterprises.com pivotxadvisors.com biup.ai James Green Mike Anderson Alaya Brown Deputy Editor Execu?ve Editor Assistant Editor operational performance and patient care at a leading health specializing in innovative research and teaching methodologies leveraging advanced analytics to drive business outcomes and dedicated to transforming business strategies and fostering technologies into business models, enhancing operational services organization. at a prominent institution in East London. enhance decision-making processes within a dynamic enterprise growth through innovative advisory services in the consulting ef?iciency and driving growth at an emerging arti?icial Mohammad Hossein Amirhosseini Associate Professor uel.ac.uk David King George Kingston Visualizer Art & Design Director Associate Designer Tim Daniels MV Yugandhar Chief Data Of?icer environment. industry. intelligence ?irm. Sihanee M. James Sykes Senior Sales Manager Marke?ng Manager Poornima Ramaswamy Founder and CEO 4 Phil Bristol Simon Gayle Technical Head SME-SMO Execu?ve Ranjan (Ranji) Saksena Chief Business Of?icer Dave Morgan David, JD Steve, Joe Dominique T. Business Development Manager Sales Execu?ves Business Development Execu?ves Digital Marke?ng Manager Frank Adams Robert Brown Stella Andrew David Stokes Research Analyst Circula?on Manager Database Management Technology Consultant October, 2024
CREDITS D Merry D'Souza Editor-in-Chief Company Name AltaMed Health Services University of Brane Group PivotX Advisors BiUP.ai Featured Person Brief Greg Townsend brings over 25 years of expertise in healthcare analytics, driving strategic data initiatives to enhance Mohammad Hossein Amirhosseini is an academic leader MV Yugandhar excels in data governance and strategy, Poornima Ramaswamy is an entrepreneurial visionary Ranjan (Ranji) Saksena focuses on integrating cutting-edge Greg Townsend Senior VP & Chief Data and Analytics Of?icer altamed.org East London braneenterprises.com pivotxadvisors.com biup.ai James Green Mike Anderson Alaya Brown Deputy Editor Execu?ve Editor Assistant Editor operational performance and patient care at a leading health specializing in innovative research and teaching methodologies leveraging advanced analytics to drive business outcomes and dedicated to transforming business strategies and fostering technologies into business models, enhancing operational services organization. at a prominent institution in East London. enhance decision-making processes within a dynamic enterprise growth through innovative advisory services in the consulting ef?iciency and driving growth at an emerging arti?icial Mohammad Hossein Amirhosseini Associate Professor uel.ac.uk David King George Kingston Visualizer Art & Design Director Associate Designer Tim Daniels MV Yugandhar Chief Data Of?icer environment. industry. intelligence ?irm. Sihanee M. James Sykes Senior Sales Manager Marke?ng Manager Poornima Ramaswamy Founder and CEO 4 Phil Bristol Simon Gayle Technical Head SME-SMO Execu?ve Ranjan (Ranji) Saksena Chief Business Of?icer Dave Morgan David, JD Steve, Joe Dominique T. Business Development Manager Sales Execu?ves Business Development Execu?ves Digital Marke?ng Manager Frank Adams Robert Brown Stella Andrew David Stokes Research Analyst Circula?on Manager Database Management Technology Consultant October, 2024
Dr Mohammad Hossein Amirhosseini Associate Professor in Computer Science and Digital Technologies University of East London
Dr Mohammad Hossein Amirhosseini Associate Professor in Computer Science and Digital Technologies University of East London
T he integra?on of ar?ficial intelligence and machine learning is redefining industry standards and enhancing opera?onal efficiencies. Organiza?ons are increasingly harnessing these tools to analyze vast amounts of data, streamline processes and foster innova?on. The evolu?on of AI technology is proving to be a cornerstone in driving transforma?on across various sectors, from enhancing organiza?onal performance to improving customer experiences and managing complex systems. A?er comple?ng PhD in Compu?ng at London Metropolitan University in 2018, he served as a Postdoctoral Research Fellow at the same ins?tu?on and contributed to the SPIRIT (Scalable Privacy Preserving Intelligence Analysis for Resolving Iden??es) project under the European Horizon 2020 framework, involving a consor?um of 17 partners from 9 European countries. In April 2020, Dr. Mohammad joined the University of East London as a lecturer in Computer Science and Digital Technologies. His career progressed to Senior Lecturer in 2023, and he was promoted to Associate Professor in 2024. Dr. Mohammad shares, "Throughout my academic journey, my focus has evolved from founda?onal AI research to exploring its interdisciplinary applica?ons, par?cularly in psychology and healthcare." This evolu?on has deepened his commitment to advancing the field through impac?ul research, innova?ve teaching and mentoring the next genera?on of AI professionals. Dr. Mohammad Hossein Amirhosseini, a figure of renown in the field, is celebrated for his leadership in bridging the gap between AI advancements and prac?cal applica?ons. As an Associate Professor in Computer Science and Digital Technologies, his dedica?on to advancing both research and educa?on is truly inspiring. His exper?se goes beyond technical proficiency, encompassing a profound understanding of how AI can be applied to solve complex problems and improve interdisciplinary outcomes. Dr. Mohammad's approach is marked by a commitment to integra?ng cu?ng-edge technologies into his academic work, driving forward-thinking research and mentoring the next genera?on of AI professionals. Enhancing Organiza?onal Efficiency and Mental Health Through Technology During his MSc final project, Dr. Mohammad concentrated on Neuro-Linguis?c Programming (NLP), a psychological method, to inves?gate its poten?al to enhance project and knowledge management within organiza?ons. His research revealed a significant connec?on between NLP and organiza?onal efficiency, which helped him frame his PhD proposal on the results of his MSc disserta?on. Dr. Mohammad states, "My aim was to apply ar?ficial intelligence and machine learning techniques to automate various elements of this psychological approach, ul?mately improving organiza?onal performance.” The University of East London, under Dr. Mohammad's guidance, has made substan?al contribu?ons to the field. It has developed impac?ul programs and research ini?a?ves that are truly impressive, advancing technological understanding and addressing contemporary challenges in digital technologies. Let's explore how Dr. Mohammad is shaping the future of AI and digital technologies with his groundbreaking research and innova?ve teaching methods: From IT Industry to Academic Excellence During his PhD, Dr. Mohammad began teaching and observed that students struggling with mental health issues faced difficul?es with assignments, coursework and exams, underscoring the substan?al impact of mental health on quality of life. His background in AI and his knowledge of effec?ve psychological tools led him to broaden his research into various aspects of psychology. His enduring interest in human behavior, influenced by his mother's career as a psychiatrist, was also a key factor in this decision. This blend of personal and professional experiences inspired him to further explore the intersec?on of AI and psychology. Before transi?oning to academia, Dr. Mohammad worked in the IT industry, where he recognized that data is the most valuable asset for companies and organiza?ons today, and AI and machine learning are the most powerful tools to unlock their poten?al. During his BSc and MSc studies, Dr. Mohammad was introduced to various AI-related modules and completed several projects that fueled his interest in the field. This combina?on of industry insight and academic experience, along with his passion for solving complex problems and the transforma?ve poten?al of AI, led him to pursue a PhD and a career in academia. Throughout his academic career, Dr. Mohammad has focused on human personality, employing machine
T he integra?on of ar?ficial intelligence and machine learning is redefining industry standards and enhancing opera?onal efficiencies. Organiza?ons are increasingly harnessing these tools to analyze vast amounts of data, streamline processes and foster innova?on. The evolu?on of AI technology is proving to be a cornerstone in driving transforma?on across various sectors, from enhancing organiza?onal performance to improving customer experiences and managing complex systems. A?er comple?ng PhD in Compu?ng at London Metropolitan University in 2018, he served as a Postdoctoral Research Fellow at the same ins?tu?on and contributed to the SPIRIT (Scalable Privacy Preserving Intelligence Analysis for Resolving Iden??es) project under the European Horizon 2020 framework, involving a consor?um of 17 partners from 9 European countries. In April 2020, Dr. Mohammad joined the University of East London as a lecturer in Computer Science and Digital Technologies. His career progressed to Senior Lecturer in 2023, and he was promoted to Associate Professor in 2024. Dr. Mohammad shares, "Throughout my academic journey, my focus has evolved from founda?onal AI research to exploring its interdisciplinary applica?ons, par?cularly in psychology and healthcare." This evolu?on has deepened his commitment to advancing the field through impac?ul research, innova?ve teaching and mentoring the next genera?on of AI professionals. Dr. Mohammad Hossein Amirhosseini, a figure of renown in the field, is celebrated for his leadership in bridging the gap between AI advancements and prac?cal applica?ons. As an Associate Professor in Computer Science and Digital Technologies, his dedica?on to advancing both research and educa?on is truly inspiring. His exper?se goes beyond technical proficiency, encompassing a profound understanding of how AI can be applied to solve complex problems and improve interdisciplinary outcomes. Dr. Mohammad's approach is marked by a commitment to integra?ng cu?ng-edge technologies into his academic work, driving forward-thinking research and mentoring the next genera?on of AI professionals. Enhancing Organiza?onal Efficiency and Mental Health Through Technology During his MSc final project, Dr. Mohammad concentrated on Neuro-Linguis?c Programming (NLP), a psychological method, to inves?gate its poten?al to enhance project and knowledge management within organiza?ons. His research revealed a significant connec?on between NLP and organiza?onal efficiency, which helped him frame his PhD proposal on the results of his MSc disserta?on. Dr. Mohammad states, "My aim was to apply ar?ficial intelligence and machine learning techniques to automate various elements of this psychological approach, ul?mately improving organiza?onal performance.” The University of East London, under Dr. Mohammad's guidance, has made substan?al contribu?ons to the field. It has developed impac?ul programs and research ini?a?ves that are truly impressive, advancing technological understanding and addressing contemporary challenges in digital technologies. Let's explore how Dr. Mohammad is shaping the future of AI and digital technologies with his groundbreaking research and innova?ve teaching methods: From IT Industry to Academic Excellence During his PhD, Dr. Mohammad began teaching and observed that students struggling with mental health issues faced difficul?es with assignments, coursework and exams, underscoring the substan?al impact of mental health on quality of life. His background in AI and his knowledge of effec?ve psychological tools led him to broaden his research into various aspects of psychology. His enduring interest in human behavior, influenced by his mother's career as a psychiatrist, was also a key factor in this decision. This blend of personal and professional experiences inspired him to further explore the intersec?on of AI and psychology. Before transi?oning to academia, Dr. Mohammad worked in the IT industry, where he recognized that data is the most valuable asset for companies and organiza?ons today, and AI and machine learning are the most powerful tools to unlock their poten?al. During his BSc and MSc studies, Dr. Mohammad was introduced to various AI-related modules and completed several projects that fueled his interest in the field. This combina?on of industry insight and academic experience, along with his passion for solving complex problems and the transforma?ve poten?al of AI, led him to pursue a PhD and a career in academia. Throughout his academic career, Dr. Mohammad has focused on human personality, employing machine
learning to predict personality types. His research has included cogni?ve processing and the detec?on of symptoms related to anxiety, depression, au?sm, and ADHD. Addi?onally, he has inves?gated the automa?on of tools for personal development, coaching, therapy, and mental health management. His collabora?ons with industry partners and higher educa?on ins?tu?ons have led to impac?ul publica?ons and significant research contribu?ons. His involvement in the SPRIT project during postdoctoral research broadened his exper?se to include cybersecurity and iden?ty resolu?on, incorpora?ng psychological dimensions. This experience allowed him to apply AI in fields such as iden?ty resolu?on, cybersecurity, and fraud detec?on. Moreover, supervising a diverse range of BSc, MSc, PhD, and professional doctorate projects, along with industrial collabora?ons, has facilitated the explora?on of AI applica?ons across various domains, including Natural Language Processing, social media analysis, finance and fintech, lithium ba?ery manufacturing and recycling, hate speech, racism, and sexism detec?on and preven?on, poli?cs and interna?onal rela?ons, and animal behavior and personality. Mul?faceted Role Driving Excellence in Educa?on Dr. Mohammad accomplishes various roles. He serves as the Appren?ceship Lead for the School of Architecture, Compu?ng, and Engineering and as the Course Leader for both the BSc and MSc Digital and Technology Solu?ons Appren?ceship programs. He also led mul?ple modules across various levels and has supervised a substan?al number of MSc and BSc disserta?ons. Addi?onally, Dr. Mohammad is the lead supervisor for several PhD and Professional Doctorate researchers. them into his curriculum. He employs innova?ve teaching methods, such as project-based learning and con?nuous assessment, to engage students ac?vely. Addi?onally, he priori?zes personalized feedback and mentorship to support students' individual growth and learning. Regularly collabora?ng with industry partners and colleagues ensures that his curriculum remains relevant, prac?cal and aligned with professional standards. His contribu?on extends beyond teaching and supervision to include university-wide responsibili?es. He serves as the School Representa?ve on the Educa?on and Experience Commi?ee and the University Appren?ceship Compliance Commi?ee. Furthermore, Dr. Mohammad has held the roles of Year Tutor for all BSc final-year students in the Department of Computer Science and Digital Technologies and Academic Link Tutor for Dual Degree Compu?ng courses offered through the University's interna?onal partners. Dr. Mohammad shares we adhere to rigorous standards and frameworks to maintain excellence in higher educa?on and undergo regular internal audits and external inspec?ons by key regulatory bodies, including Ofsted, OfS, QAA, and the ESFA. Leveraging Global Collabora?ons for Societal Benefits "Before star?ng any research project, I always consider how the outcomes can benefit the research community and address exis?ng knowledge gaps," Dr. Mohammad stated. He firmly believes that research should lead to tangible, impac?ul products that can be u?lized by society. Dr. Mohammad ensures high-quality educa?on by staying current with the latest industry trends and integra?ng
learning to predict personality types. His research has included cogni?ve processing and the detec?on of symptoms related to anxiety, depression, au?sm, and ADHD. Addi?onally, he has inves?gated the automa?on of tools for personal development, coaching, therapy, and mental health management. His collabora?ons with industry partners and higher educa?on ins?tu?ons have led to impac?ul publica?ons and significant research contribu?ons. His involvement in the SPRIT project during postdoctoral research broadened his exper?se to include cybersecurity and iden?ty resolu?on, incorpora?ng psychological dimensions. This experience allowed him to apply AI in fields such as iden?ty resolu?on, cybersecurity, and fraud detec?on. Moreover, supervising a diverse range of BSc, MSc, PhD, and professional doctorate projects, along with industrial collabora?ons, has facilitated the explora?on of AI applica?ons across various domains, including Natural Language Processing, social media analysis, finance and fintech, lithium ba?ery manufacturing and recycling, hate speech, racism, and sexism detec?on and preven?on, poli?cs and interna?onal rela?ons, and animal behavior and personality. Mul?faceted Role Driving Excellence in Educa?on Dr. Mohammad accomplishes various roles. He serves as the Appren?ceship Lead for the School of Architecture, Compu?ng, and Engineering and as the Course Leader for both the BSc and MSc Digital and Technology Solu?ons Appren?ceship programs. He also led mul?ple modules across various levels and has supervised a substan?al number of MSc and BSc disserta?ons. Addi?onally, Dr. Mohammad is the lead supervisor for several PhD and Professional Doctorate researchers. them into his curriculum. He employs innova?ve teaching methods, such as project-based learning and con?nuous assessment, to engage students ac?vely. Addi?onally, he priori?zes personalized feedback and mentorship to support students' individual growth and learning. Regularly collabora?ng with industry partners and colleagues ensures that his curriculum remains relevant, prac?cal and aligned with professional standards. His contribu?on extends beyond teaching and supervision to include university-wide responsibili?es. He serves as the School Representa?ve on the Educa?on and Experience Commi?ee and the University Appren?ceship Compliance Commi?ee. Furthermore, Dr. Mohammad has held the roles of Year Tutor for all BSc final-year students in the Department of Computer Science and Digital Technologies and Academic Link Tutor for Dual Degree Compu?ng courses offered through the University's interna?onal partners. Dr. Mohammad shares we adhere to rigorous standards and frameworks to maintain excellence in higher educa?on and undergo regular internal audits and external inspec?ons by key regulatory bodies, including Ofsted, OfS, QAA, and the ESFA. Leveraging Global Collabora?ons for Societal Benefits "Before star?ng any research project, I always consider how the outcomes can benefit the research community and address exis?ng knowledge gaps," Dr. Mohammad stated. He firmly believes that research should lead to tangible, impac?ul products that can be u?lized by society. Dr. Mohammad ensures high-quality educa?on by staying current with the latest industry trends and integra?ng
Dr. Mohammad has received the Staff Award for 'Innova?ve Teaching' in 2022, 'Leadership through Change' in 2023, and 'Student Experience' in 2024 for his contribu?ons to academia. Addi?onally, under his leadership, the University of East London was awarded the pres?gious 2024 AAC Na?onal Appren?ceship High Commenda?on Award for 'Digital Appren?ceship Provider of the Year' for the Digital and Technology Solu?ons Appren?ceship course. genera?ve AI, natural language processing and ethical AI." These developments will enable him to explore more complex and interdisciplinary research, par?cularly in areas like healthcare and psychology. In teaching, Dr. Mohammad con?nuously updates the curriculum to incorporate these emerging technologies, ensuring students are equipped with the latest knowledge and skills to thrive in this developing field. Innova?ve Teaching Strategies that Empower Students Strategic Integra?on of Teaching and Research Dr. Mohammad observed, "Project-based learning and the flipped classroom model are highly effec?ve in engaging students in Computer Science." "These methods encourage hands-on experience and ac?ve par?cipa?on, allowing students to apply theore?cal knowledge to real-world problems," he added. He also emphasizes con?nuous assessment and feedback, which help students track their progress, iden?fy areas for improvement, and stay mo?vated. Dr. Mohammad balances his teaching responsibili?es with research ac?vi?es by carefully managing his ?me and aligning both roles strategically. He integrates his research into teaching, using current projects and findings to enrich classroom discussions. In interdisciplinary research, Dr. Mohammad collaborates closely with colleagues to share workloads and set clear ?melines, ensuring that both teaching and research receive the a?en?on they need. This approach allows him to stay produc?ve and engaged in both areas. Dr. Mohammad has established significant na?onal and interna?onal collabora?ons with esteemed ins?tu?ons such as the University of Pennsylvania, Imperial College London, University of Lincoln, London Metropolitan University, and Adelphi University. These partnerships have resulted in impac?ul publica?ons in pres?gious Q1 journals, including Nature Scien?fic Reports, and presenta?ons at renowned conferences such as the IEEE World Congress on Computa?onal Intelligence. Addi?onally, integra?ng emerging technologies and interdisciplinary examples keeps the content relevant and exci?ng, while interac?ve tools and gamifica?on make learning more engaging and enjoyable. These innova?ve methods not only engage students but also equip them with the skills and mindset needed to thrive in the field of Computer Science. Future of Interdisciplinary Research and Educa?on Dr. Mohammad shares, "In the next few years, AI and machine learning will become more integrated into everyday applica?ons, with advancements in areas like Dr. Mohammad has also collaborated with various na?onal and interna?onal industrial partners, including Whyness Ltd, Nex Power Ltd, Solve Energy Service Ltd, Kep?ka Ltd, Accenture, Up?me Labs Ltd, and Dogvatar Ltd. These collabora?ons have led to successful grant applica?ons, such as the Innovate UK Smart Grant, and have produced high-quality publica?ons in Q1 and Q2 journals and top-?er conferences, as well as the development of commercially viable products. Global Recogni?on and Impact Dr. Mohammad's research has gained interna?onal a?en?on, resul?ng in interviews with major media outlets like CBS News, Fox TV and German Public Radio. His work has also been featured in prominent publica?ons, including The Telegraph, Science Magazine, Mirage News, Study Finds, EurekAlert!, SciTechDaily, BNN, Med India, and more. Dr. Mohammad has also been invited as a guest speaker by various universi?es and events to discuss different aspects of Ar?ficial Intelligence and its applica?ons.
Dr. Mohammad has received the Staff Award for 'Innova?ve Teaching' in 2022, 'Leadership through Change' in 2023, and 'Student Experience' in 2024 for his contribu?ons to academia. Addi?onally, under his leadership, the University of East London was awarded the pres?gious 2024 AAC Na?onal Appren?ceship High Commenda?on Award for 'Digital Appren?ceship Provider of the Year' for the Digital and Technology Solu?ons Appren?ceship course. genera?ve AI, natural language processing and ethical AI." These developments will enable him to explore more complex and interdisciplinary research, par?cularly in areas like healthcare and psychology. In teaching, Dr. Mohammad con?nuously updates the curriculum to incorporate these emerging technologies, ensuring students are equipped with the latest knowledge and skills to thrive in this developing field. Innova?ve Teaching Strategies that Empower Students Strategic Integra?on of Teaching and Research Dr. Mohammad observed, "Project-based learning and the flipped classroom model are highly effec?ve in engaging students in Computer Science." "These methods encourage hands-on experience and ac?ve par?cipa?on, allowing students to apply theore?cal knowledge to real-world problems," he added. He also emphasizes con?nuous assessment and feedback, which help students track their progress, iden?fy areas for improvement, and stay mo?vated. Dr. Mohammad balances his teaching responsibili?es with research ac?vi?es by carefully managing his ?me and aligning both roles strategically. He integrates his research into teaching, using current projects and findings to enrich classroom discussions. In interdisciplinary research, Dr. Mohammad collaborates closely with colleagues to share workloads and set clear ?melines, ensuring that both teaching and research receive the a?en?on they need. This approach allows him to stay produc?ve and engaged in both areas. Dr. Mohammad has established significant na?onal and interna?onal collabora?ons with esteemed ins?tu?ons such as the University of Pennsylvania, Imperial College London, University of Lincoln, London Metropolitan University, and Adelphi University. These partnerships have resulted in impac?ul publica?ons in pres?gious Q1 journals, including Nature Scien?fic Reports, and presenta?ons at renowned conferences such as the IEEE World Congress on Computa?onal Intelligence. Addi?onally, integra?ng emerging technologies and interdisciplinary examples keeps the content relevant and exci?ng, while interac?ve tools and gamifica?on make learning more engaging and enjoyable. These innova?ve methods not only engage students but also equip them with the skills and mindset needed to thrive in the field of Computer Science. Future of Interdisciplinary Research and Educa?on Dr. Mohammad shares, "In the next few years, AI and machine learning will become more integrated into everyday applica?ons, with advancements in areas like Dr. Mohammad has also collaborated with various na?onal and interna?onal industrial partners, including Whyness Ltd, Nex Power Ltd, Solve Energy Service Ltd, Kep?ka Ltd, Accenture, Up?me Labs Ltd, and Dogvatar Ltd. These collabora?ons have led to successful grant applica?ons, such as the Innovate UK Smart Grant, and have produced high-quality publica?ons in Q1 and Q2 journals and top-?er conferences, as well as the development of commercially viable products. Global Recogni?on and Impact Dr. Mohammad's research has gained interna?onal a?en?on, resul?ng in interviews with major media outlets like CBS News, Fox TV and German Public Radio. His work has also been featured in prominent publica?ons, including The Telegraph, Science Magazine, Mirage News, Study Finds, EurekAlert!, SciTechDaily, BNN, Med India, and more. Dr. Mohammad has also been invited as a guest speaker by various universi?es and events to discuss different aspects of Ar?ficial Intelligence and its applica?ons.
Success is not how high you have climbed, but how you make a positive difference to the world. Commitment to Technological Advancements and Academic Excellence implica?ons of your work, ensuring that your research contributes posi?vely to society," Dr. Mohammad quoted. Pioneering Ethical AI in Academia Dr. Mohammad inhabits the latest developments in technology by regularly reading academic journals, a?ending conferences and engaging with industry professionals. He con?nuously updates his curriculum to reflect new trends and integrate emerging technologies into his research. By ac?vely seeking feedback from students and collabora?ng with colleagues, he ensures that his teaching and research remain relevant, impac?ul and aligned with the changing needs of the field. Dr. Mohammad aims to advance the field of Ar?ficial Intelligence in academia by conduc?ng impac?ul, interdisciplinary research and contribu?ng to the development of ethical AI systems. He plans to con?nuously explore innova?ve applica?ons of AI, mentor the next genera?on of researchers, and foster collabora?ons that bridge academia and industry. "I aim to influence the curriculum to ensure that students are well- prepared to address both the technical and societal challenges posed by AI," he quoted. - Roy T. Bennett Strategic Approach for Aspiring AI Researchers For aspiring academics and researchers in Ar?ficial Intelligence, Dr. Mohammad advises focusing on building a solid founda?on in mathema?cs, programming and core AI concepts. "Stay curious and con?nuously learn by keeping up with the latest research and emerging technologies," he quoted. Dr. Mohammad suggests, "Engage in interdisciplinary projects to broaden your perspec?ve and apply AI to real-world problems." "Collaborate with peers and mentors and share your work through publica?ons and conferences," he added. "Always consider the ethical
Success is not how high you have climbed, but how you make a positive difference to the world. Commitment to Technological Advancements and Academic Excellence implica?ons of your work, ensuring that your research contributes posi?vely to society," Dr. Mohammad quoted. Pioneering Ethical AI in Academia Dr. Mohammad inhabits the latest developments in technology by regularly reading academic journals, a?ending conferences and engaging with industry professionals. He con?nuously updates his curriculum to reflect new trends and integrate emerging technologies into his research. By ac?vely seeking feedback from students and collabora?ng with colleagues, he ensures that his teaching and research remain relevant, impac?ul and aligned with the changing needs of the field. Dr. Mohammad aims to advance the field of Ar?ficial Intelligence in academia by conduc?ng impac?ul, interdisciplinary research and contribu?ng to the development of ethical AI systems. He plans to con?nuously explore innova?ve applica?ons of AI, mentor the next genera?on of researchers, and foster collabora?ons that bridge academia and industry. "I aim to influence the curriculum to ensure that students are well- prepared to address both the technical and societal challenges posed by AI," he quoted. - Roy T. Bennett Strategic Approach for Aspiring AI Researchers For aspiring academics and researchers in Ar?ficial Intelligence, Dr. Mohammad advises focusing on building a solid founda?on in mathema?cs, programming and core AI concepts. "Stay curious and con?nuously learn by keeping up with the latest research and emerging technologies," he quoted. Dr. Mohammad suggests, "Engage in interdisciplinary projects to broaden your perspec?ve and apply AI to real-world problems." "Collaborate with peers and mentors and share your work through publica?ons and conferences," he added. "Always consider the ethical
T he development of generative AI and deepfake technologies in the last few years has been unprecedented. This field uses algorithms by which images, videos, or even audio have been created that are almost photorealistic representations of real people or events. They offer exciting possibilities for creativity and innovation but also raise essential questions about ethics. It is important for society to understand these considerations as it navigates the implications of such powerful tools. Ethical Considerations in Generative AI and Dpfake Technologies Rise of Generative AI and Deepfakes Generative AI Algorithms that are capable of generating new output on the basis of a strong understanding of the existing data include everything from the creation of art and music to producing natural-looking text. Deepfake technology refers specifically to applications of generative AI in the construction of super-realistic fake videos or audio recordings. These tools rely on deep learning techniques, involving the training of neural networks on vast amounts of data to produce convincing outputs. Generative AI has been widely applied in various industries. For instance, in entertainment industries, they use these technologies to produce fabulous visual and audio effects, voiceover services, even to revive the deceased actors or stars in a movie. According to reports on the International Data Corporation (IDC), by 2026, the market on AI-generated content would reach $300 billion. A growth like this points out the benefits but also reminds one that, very seriously, this is an area where ethical approaches are very much called into questions. Misinformation and Manipulation The most significant ethical concern related to deepfakes and generative AI is the issue of misinformation. Since this technology enables one to create highly authentic, fake videos or audio clips, it can potentially manipulate popular opinion as well as disseminate false information. It has been revealed by an article that emerged in the "Nature" journal that deepfakes may make it more probable for untrue information to spread through social media channels. In fact, the researchers determined that 70% of subjects reported believing the deepfake video to be genuine when it supported previously held beliefs. The effect of disinformation is grave indeed. For example, during an election, deepfakes can be utilized in order to spread false information about candidates, which may lead to breeches of the democratic process. Deepfakes can also be 18 19 October, 2024 www.thecioleaders.com
T he development of generative AI and deepfake technologies in the last few years has been unprecedented. This field uses algorithms by which images, videos, or even audio have been created that are almost photorealistic representations of real people or events. They offer exciting possibilities for creativity and innovation but also raise essential questions about ethics. It is important for society to understand these considerations as it navigates the implications of such powerful tools. Ethical Considerations in Generative AI and Dpfake Technologies Rise of Generative AI and Deepfakes Generative AI Algorithms that are capable of generating new output on the basis of a strong understanding of the existing data include everything from the creation of art and music to producing natural-looking text. Deepfake technology refers specifically to applications of generative AI in the construction of super-realistic fake videos or audio recordings. These tools rely on deep learning techniques, involving the training of neural networks on vast amounts of data to produce convincing outputs. Generative AI has been widely applied in various industries. For instance, in entertainment industries, they use these technologies to produce fabulous visual and audio effects, voiceover services, even to revive the deceased actors or stars in a movie. According to reports on the International Data Corporation (IDC), by 2026, the market on AI-generated content would reach $300 billion. A growth like this points out the benefits but also reminds one that, very seriously, this is an area where ethical approaches are very much called into questions. Misinformation and Manipulation The most significant ethical concern related to deepfakes and generative AI is the issue of misinformation. Since this technology enables one to create highly authentic, fake videos or audio clips, it can potentially manipulate popular opinion as well as disseminate false information. It has been revealed by an article that emerged in the "Nature" journal that deepfakes may make it more probable for untrue information to spread through social media channels. In fact, the researchers determined that 70% of subjects reported believing the deepfake video to be genuine when it supported previously held beliefs. The effect of disinformation is grave indeed. For example, during an election, deepfakes can be utilized in order to spread false information about candidates, which may lead to breeches of the democratic process. Deepfakes can also be 18 19 October, 2024 www.thecioleaders.com
the labyrinth with honor and vision.C instruments of harassment or defamation where reputations of individuals can be battered and bruised with no redress. programs teaching the students how to identify possible misinformation as well as what implications deepfakes can cause. Privacy Issues Media organizations have a role to play in continuing to report on the existence and capabilities of these technologies. Context setting with deepfake content—such as labeling manipulated videos—by media outlets will assist in combating misinformation and could also coax more responsible consumption. Another important issue with these generative AI and deepfakes technologies has been privacy. This technology pretty easily replicates someone's likeness without their consent, raising important questions about individual rights over one's image and voice. For instance, as reported by the Pew Research Center, 48% of Americans said they were concerned about the use of their images in deepfake videos without consent. Generative AI's Future Then, the future of generative AI speaks of promise and peril. Potential applications may change industries from entertainment to education in real ways, opening new avenues for creativity and efficiency. However, that unregulated development can trigger a tide of deception and erosion of trust in digital content puts the subject into precarious balance. Such a lack of consent can lead to negative consequences, especially with people represented in compromising or damaging situations. It is quite frightening when celebrities, public figures, are involved and arguably have limited control over their likenesses. With the rapid advancement of technology, the concept of protecting personal privacy becomes even more of a challenging endeavor in a world where anyone can create credible representations of others. It is, then, a critical time for society to bring ethical considerations into the stages of development and deployment as it advances with these technological changes. Technologies and policymakers, ethicists, and educators together will have to take on the challenge to create a future that makes generative AI useful for and not disastrous against humanity. Legally speaking and regulation As the technology of such generative AI and deepfakes improves, an increased need is felt for legal frameworks so that what would otherwise be considered an ethical concern can indeed be dealt with legally. Laws about deepfakes are still being developed and are quite different between jurisdictions. In some countries, there are specific legislations against using deepfakes for someone's detriment while in the others, it falls under a broader general doctrine related to defamation or copyright. Conclusion In today's digital world, generative AI and deepfake technologies are two-edged swords. On one hand, they open up new horizons for creativity and expression. On the other hand, they throw up numerous ethical challenges about misinformation, violations of privacy, understanding legal frameworks and education. All stakeholders need to act together. Technologists must innovate responsibly, lawmakers must frame effective regulations, educators must begin teaching digital literacy, and society must engage creatively with content online. In the United States, several states introduced bills that may regulate deepfakes in some contexts, such as elections and pornography. Laws, however, critics charge fall considerably short of dealing with the more profound considerations that accompany generative AI technologies. Only then will ethical use be guaranteed, if an all- encompassing legal framework is developed to include all aspects of generative AI regarding consent, accountability, and transparency. Thus, technology can aim at an ethical environment of development to strike the balance between the benefit and the risk of generative AI. Society will be able to navigate Education and Awareness in Regulation It is essential for education to counterbalance the risks generated by generative AI and deepfakes. Equipping users with education on the way these technologies work helps them critically analyze what they view online. Schools and learning institutions must implement digital literacy 20 www.thecioleaders.com
the labyrinth with honor and vision.C instruments of harassment or defamation where reputations of individuals can be battered and bruised with no redress. programs teaching the students how to identify possible misinformation as well as what implications deepfakes can cause. Privacy Issues Media organizations have a role to play in continuing to report on the existence and capabilities of these technologies. Context setting with deepfake content—such as labeling manipulated videos—by media outlets will assist in combating misinformation and could also coax more responsible consumption. Another important issue with these generative AI and deepfakes technologies has been privacy. This technology pretty easily replicates someone's likeness without their consent, raising important questions about individual rights over one's image and voice. For instance, as reported by the Pew Research Center, 48% of Americans said they were concerned about the use of their images in deepfake videos without consent. Generative AI's Future Then, the future of generative AI speaks of promise and peril. Potential applications may change industries from entertainment to education in real ways, opening new avenues for creativity and efficiency. However, that unregulated development can trigger a tide of deception and erosion of trust in digital content puts the subject into precarious balance. Such a lack of consent can lead to negative consequences, especially with people represented in compromising or damaging situations. It is quite frightening when celebrities, public figures, are involved and arguably have limited control over their likenesses. With the rapid advancement of technology, the concept of protecting personal privacy becomes even more of a challenging endeavor in a world where anyone can create credible representations of others. It is, then, a critical time for society to bring ethical considerations into the stages of development and deployment as it advances with these technological changes. Technologies and policymakers, ethicists, and educators together will have to take on the challenge to create a future that makes generative AI useful for and not disastrous against humanity. Legally speaking and regulation As the technology of such generative AI and deepfakes improves, an increased need is felt for legal frameworks so that what would otherwise be considered an ethical concern can indeed be dealt with legally. Laws about deepfakes are still being developed and are quite different between jurisdictions. In some countries, there are specific legislations against using deepfakes for someone's detriment while in the others, it falls under a broader general doctrine related to defamation or copyright. Conclusion In today's digital world, generative AI and deepfake technologies are two-edged swords. On one hand, they open up new horizons for creativity and expression. On the other hand, they throw up numerous ethical challenges about misinformation, violations of privacy, understanding legal frameworks and education. All stakeholders need to act together. Technologists must innovate responsibly, lawmakers must frame effective regulations, educators must begin teaching digital literacy, and society must engage creatively with content online. In the United States, several states introduced bills that may regulate deepfakes in some contexts, such as elections and pornography. Laws, however, critics charge fall considerably short of dealing with the more profound considerations that accompany generative AI technologies. Only then will ethical use be guaranteed, if an all- encompassing legal framework is developed to include all aspects of generative AI regarding consent, accountability, and transparency. Thus, technology can aim at an ethical environment of development to strike the balance between the benefit and the risk of generative AI. Society will be able to navigate Education and Awareness in Regulation It is essential for education to counterbalance the risks generated by generative AI and deepfakes. Equipping users with education on the way these technologies work helps them critically analyze what they view online. Schools and learning institutions must implement digital literacy 20 www.thecioleaders.com
Most Influen?al Data Science Innovators Defining the Future in 2024 T emergencies, medical care is essential to ensuring overall well-being. With a blend of progressing wellness services and technology, some leaders are utilizing this changing domain to gain insights by collecting data from various sources for improving patient outcomes. o maintain health, prevent illness, manage chronic conditions, and address become one of the largest Federally Qualified Health Centers in the United States by providing patients with high- quality, culturally appropriate medical, dental, behavioral, and senior care services. This journey has allowed me to continue to grow in my desire to make a material impact on the health and well- being of those in the communities I am serving. He believes that the rapidly changing data/analytic landscape will bring innovative clinical and operational tools driven by advanced analytics and AI. He is committed to driving policies and practices for these new technologies that help create safeguards and standards for application within a healthcare setting. Greg Townsend leverages his data and analytics skills to drive clinical, financial, and operational performance in the healthcare sector. With over 25 years of experience as the Senior Vice President and Chief Data and Analytics Officer at AltaMed Health Services, he has dedicated his career in the medical industry to driving changes in people’s lives. His most important key aspects include balancing the need for data-driven decision-making with human intuition and judgment, as he successfully aligns his factors in his daily work. Greg Townsend Senior Vice President and Chief Data and Analytics Officer AltaMed Health Services Let’s know more about this interesting career journey. His journey began right after college, where he worked as a coordinator for developing a disease management program in North Carolina. This experience made him realize how to use his skills to improve the health landscape using data and analytics. Can you please introduce yourself and your motivation to embark on this sector? I entered the healthcare sector straight out of college where I worked as Coordinator for developing a disease management program in North Carolina. As a Senior Vice President and Chief Data and Analytics Officer at AltaMed Health Services, he aims for the firm to 22 23 October, 2024 www.thecioleaders.com
Most Influen?al Data Science Innovators Defining the Future in 2024 T emergencies, medical care is essential to ensuring overall well-being. With a blend of progressing wellness services and technology, some leaders are utilizing this changing domain to gain insights by collecting data from various sources for improving patient outcomes. o maintain health, prevent illness, manage chronic conditions, and address become one of the largest Federally Qualified Health Centers in the United States by providing patients with high- quality, culturally appropriate medical, dental, behavioral, and senior care services. This journey has allowed me to continue to grow in my desire to make a material impact on the health and well- being of those in the communities I am serving. He believes that the rapidly changing data/analytic landscape will bring innovative clinical and operational tools driven by advanced analytics and AI. He is committed to driving policies and practices for these new technologies that help create safeguards and standards for application within a healthcare setting. Greg Townsend leverages his data and analytics skills to drive clinical, financial, and operational performance in the healthcare sector. With over 25 years of experience as the Senior Vice President and Chief Data and Analytics Officer at AltaMed Health Services, he has dedicated his career in the medical industry to driving changes in people’s lives. His most important key aspects include balancing the need for data-driven decision-making with human intuition and judgment, as he successfully aligns his factors in his daily work. Greg Townsend Senior Vice President and Chief Data and Analytics Officer AltaMed Health Services Let’s know more about this interesting career journey. His journey began right after college, where he worked as a coordinator for developing a disease management program in North Carolina. This experience made him realize how to use his skills to improve the health landscape using data and analytics. Can you please introduce yourself and your motivation to embark on this sector? I entered the healthcare sector straight out of college where I worked as Coordinator for developing a disease management program in North Carolina. As a Senior Vice President and Chief Data and Analytics Officer at AltaMed Health Services, he aims for the firm to 22 23 October, 2024 www.thecioleaders.com
How do you measure the success of your data and analytics initiatives, and what metrics do you use to evaluate their impact? In this role, I could use my skills to make tangible improvements in the health and quality of life of people suffering from chronic conditions. Having been “hooked” into this industry with that experience, I developed my skills to use data and analytics to drive clinical, financial, and operational performance. My passion for data and analytics continues to provide our organization with the tools it needs to improve patient care and service by making AltaMed a data- driven organization at all levels. Our D&A initiatives are all aligned with business objectives and value propositions that drive the strategy forward. This journey has allowed me to continue to grow in my desire to make a material impact on the health and well-being of those in the communities I am serving. In my opinion, investments in analytic initiatives must be directly tied to strategic plans for the organization. Each of these strategic plans has D&A pillars that have specific evaluation plans tied to the overall success of the strategic initiative. with the tools it needs to improve patient care and service by making AltaMed a data-driven organization at all levels. while we keep the “ferries” running, which represent the near-term high- value deliverables that cannot wait until the full “bridge” is built. Could you please give a brief introduction to your company and its inception story? What are some of the most important skills or competencies you look for when hiring for data and analytics roles, and how do you develop these skills in your team members? How do you stay current with the latest trends and advancements in data and analytics, and what role do you see these trends playing in your future work? The rapidly changing data and analytical landscape will bring innovative clinical and operational tools driven by advanced analytics and AI. AltaMed Health Services celebrates its 55th anniversary with pride as a longtime champion for access to health care and social justice in the community. What started as a single store-front free clinic in East Los Angeles has evolved to over 67 sites across Los Angeles and Orange counties and more than 5,200 employees. How do you balance the need for data-driven decision-making with the need for human intuition and judgment in your work? I regularly connect with my peers and serve on expert panels in my industry to learn from my peers and discuss emerging technologies that can have a disruptive influence on our current D&A model. I look for staff that have the right preparation technically but are far more interested in a candidate's ability to think critically, work with passion, and have a high EQ. Our Data Strategy Team regularly meets with our internal customers to understand their current and future needs and to discuss emerging technology and capabilities to help drive our data strategy roadmaps for our customer base. Born out of the civil rights era and as part of the need for access to health care, AltaMed continues to strive toward an equitable and healthier Southern California. Each of these elements are piece of development plans for current staff and are expectation of managers to model for staff. The degree to which “disruptive technology” comes with a high-value proposition is the nature of many of our debates and discussions. What are some of the most significant benefits you've seen from leveraging data and analytics in your work, and how have these benefits impacted your organization? Advanced analytics and AI technologies appear to be on the brink of being disruptive technologies in healthcare. How do you ensure that data and analytics are integrated into the broader organizational strategy and decision-making processes? In 2024, AltaMed will be one of the largest Federally Qualified Health Centers in the United States and will continue to provide patients with high- quality, culturally appropriate medical, dental, behavioral, and senior care services. What role do you see data and analytics playing in shaping the future of your industry, and how do you see yourself contributing to that future? What are some of the most significant challenges you face in leveraging data and analytics to drive business outcomes, and how do you overcome them? This technology will help drive automation and assist and inform clinical decision-making. The CDAO's role in this regard is to help drive the policy and practices for these new technologies to help create safeguards and standards for application within a healthcare setting. The highest value proposition for D&A tools remains to be, to better understand and predict patient needs and to help titrate clinical resources to those who have the highest risks. We ensure this alignment by working with leadership to make certain there is a D&A pillar in all strategic initiatives aimed at answering the question, of what D&A needs are required to be successful in organizational strategies. More and more data and analytics are the backbone of clinical and business operations in healthcare. In our modernization efforts, it is challenging to take a “bridge and ferry” approach to modernization. What drives your passion for data and analytics, and how do you see its impact on the future of your organization? How do you see the role of data and analytics evolving in the next 5–10 years, and what steps are you taking to prepare for these changes? Being able to spot the right strategic moves to make in order to modernize and/or introduce new technologies is a key responsibility of my role. We work on the “bridge” in the modernization agenda to provide improved functionality and capabilities My passion for data and analytics continues to provide our organization 24 25 October, 2024 www.thecioleaders.com
How do you measure the success of your data and analytics initiatives, and what metrics do you use to evaluate their impact? In this role, I could use my skills to make tangible improvements in the health and quality of life of people suffering from chronic conditions. Having been “hooked” into this industry with that experience, I developed my skills to use data and analytics to drive clinical, financial, and operational performance. My passion for data and analytics continues to provide our organization with the tools it needs to improve patient care and service by making AltaMed a data- driven organization at all levels. Our D&A initiatives are all aligned with business objectives and value propositions that drive the strategy forward. This journey has allowed me to continue to grow in my desire to make a material impact on the health and well-being of those in the communities I am serving. In my opinion, investments in analytic initiatives must be directly tied to strategic plans for the organization. Each of these strategic plans has D&A pillars that have specific evaluation plans tied to the overall success of the strategic initiative. with the tools it needs to improve patient care and service by making AltaMed a data-driven organization at all levels. while we keep the “ferries” running, which represent the near-term high- value deliverables that cannot wait until the full “bridge” is built. Could you please give a brief introduction to your company and its inception story? What are some of the most important skills or competencies you look for when hiring for data and analytics roles, and how do you develop these skills in your team members? How do you stay current with the latest trends and advancements in data and analytics, and what role do you see these trends playing in your future work? The rapidly changing data and analytical landscape will bring innovative clinical and operational tools driven by advanced analytics and AI. AltaMed Health Services celebrates its 55th anniversary with pride as a longtime champion for access to health care and social justice in the community. What started as a single store-front free clinic in East Los Angeles has evolved to over 67 sites across Los Angeles and Orange counties and more than 5,200 employees. How do you balance the need for data-driven decision-making with the need for human intuition and judgment in your work? I regularly connect with my peers and serve on expert panels in my industry to learn from my peers and discuss emerging technologies that can have a disruptive influence on our current D&A model. I look for staff that have the right preparation technically but are far more interested in a candidate's ability to think critically, work with passion, and have a high EQ. Our Data Strategy Team regularly meets with our internal customers to understand their current and future needs and to discuss emerging technology and capabilities to help drive our data strategy roadmaps for our customer base. Born out of the civil rights era and as part of the need for access to health care, AltaMed continues to strive toward an equitable and healthier Southern California. Each of these elements are piece of development plans for current staff and are expectation of managers to model for staff. The degree to which “disruptive technology” comes with a high-value proposition is the nature of many of our debates and discussions. What are some of the most significant benefits you've seen from leveraging data and analytics in your work, and how have these benefits impacted your organization? Advanced analytics and AI technologies appear to be on the brink of being disruptive technologies in healthcare. How do you ensure that data and analytics are integrated into the broader organizational strategy and decision-making processes? In 2024, AltaMed will be one of the largest Federally Qualified Health Centers in the United States and will continue to provide patients with high- quality, culturally appropriate medical, dental, behavioral, and senior care services. What role do you see data and analytics playing in shaping the future of your industry, and how do you see yourself contributing to that future? What are some of the most significant challenges you face in leveraging data and analytics to drive business outcomes, and how do you overcome them? This technology will help drive automation and assist and inform clinical decision-making. The CDAO's role in this regard is to help drive the policy and practices for these new technologies to help create safeguards and standards for application within a healthcare setting. The highest value proposition for D&A tools remains to be, to better understand and predict patient needs and to help titrate clinical resources to those who have the highest risks. We ensure this alignment by working with leadership to make certain there is a D&A pillar in all strategic initiatives aimed at answering the question, of what D&A needs are required to be successful in organizational strategies. More and more data and analytics are the backbone of clinical and business operations in healthcare. In our modernization efforts, it is challenging to take a “bridge and ferry” approach to modernization. What drives your passion for data and analytics, and how do you see its impact on the future of your organization? How do you see the role of data and analytics evolving in the next 5–10 years, and what steps are you taking to prepare for these changes? Being able to spot the right strategic moves to make in order to modernize and/or introduce new technologies is a key responsibility of my role. We work on the “bridge” in the modernization agenda to provide improved functionality and capabilities My passion for data and analytics continues to provide our organization 24 25 October, 2024 www.thecioleaders.com
Case Studies and Best Practices The Convergence of IoT and Data Science: Smart Solutions for Tomorrow T here has been the IoT and data science of the past few years that together transform industries and daily life. This is no fad, but a radical shift in how data is collected, analyzed, and used. With connectivity via devices and with the help of analytics on data, businesses and individuals can create smart solutions that improve efficiency and productivity and improve quality of life. Understand the IoT and Data Science The Internet of Things consists of a network of devices that are connected and communicate with each other over the internet. Amongst these are household appliances, such as smart thermostats, and on to industrial machinery, which can monitor its own performance in real time. According to a Statista report, the number of connected IoT devices is set to swell to more than 30 billion by 2025. That explosive growth will create a raft of dependence upon smart technology across multiple industries. In contrast, data science is the process of extracting insights from huge quantities of data using methods like statistical analysis, machine learning, and data visualization. Using the patterns in data and trends of it, businesses are able to make profit-oriented decisions by which innovation and efficiency can be supported. According to an IBM study, it has been found that companies adopting data-driven approaches stand 6 times more likely to be profitable year over year. The Synergism Between IoT and Data Science IoT combined with data science makes a powerful synergistic blend. IoT devices produce tremendous volumes of data continuously. This data allows for immediate insight into user behavior, environmental conditions, and operational efficiency. However, this data itself is little to nothing useful and thus requires analysis and interpretation. Data science comes in to play here. For instance, in smart cities, sensors collect data with regards to traffic patterns, quality of air, and energy consumption. Data analysts go through this information to identify trends and come up with possible solutions that will make life better in the urban environment. According to McKinsey, the use of smart city technologies is going to reduce greenhouse gas emissions by up to 70% through the optimization of energy use and transportation systems. 26 27 October, 2024 www.thecioleaders.com
Case Studies and Best Practices The Convergence of IoT and Data Science: Smart Solutions for Tomorrow T here has been the IoT and data science of the past few years that together transform industries and daily life. This is no fad, but a radical shift in how data is collected, analyzed, and used. With connectivity via devices and with the help of analytics on data, businesses and individuals can create smart solutions that improve efficiency and productivity and improve quality of life. Understand the IoT and Data Science The Internet of Things consists of a network of devices that are connected and communicate with each other over the internet. Amongst these are household appliances, such as smart thermostats, and on to industrial machinery, which can monitor its own performance in real time. According to a Statista report, the number of connected IoT devices is set to swell to more than 30 billion by 2025. That explosive growth will create a raft of dependence upon smart technology across multiple industries. In contrast, data science is the process of extracting insights from huge quantities of data using methods like statistical analysis, machine learning, and data visualization. Using the patterns in data and trends of it, businesses are able to make profit-oriented decisions by which innovation and efficiency can be supported. According to an IBM study, it has been found that companies adopting data-driven approaches stand 6 times more likely to be profitable year over year. The Synergism Between IoT and Data Science IoT combined with data science makes a powerful synergistic blend. IoT devices produce tremendous volumes of data continuously. This data allows for immediate insight into user behavior, environmental conditions, and operational efficiency. However, this data itself is little to nothing useful and thus requires analysis and interpretation. Data science comes in to play here. For instance, in smart cities, sensors collect data with regards to traffic patterns, quality of air, and energy consumption. Data analysts go through this information to identify trends and come up with possible solutions that will make life better in the urban environment. According to McKinsey, the use of smart city technologies is going to reduce greenhouse gas emissions by up to 70% through the optimization of energy use and transportation systems. 26 27 October, 2024 www.thecioleaders.com
Don’t worry about failure; you only have to be right Real-Life Applications Integration of different systems and standards is another challenge. Most IoT devices operate on different platforms with variant protocols, making it challenging for organizations to collect data in a way that is effective consolidation. There is a need to enforce universal standards in the realization of full potential for IoT technologies. The convergence of IoT and data science has resulted in innovative applications in health among other sectors. Healthcare also uses wearable devices to monitor, in real time, vital signs of patients. This kind of constant flow of data can help in the early detection of anomalies and thereby timely intervention. A study published by the Journal of Medical Internet Research establishes that this telemetry allowed a 30 percent drop in the readmission rate of the patients. Healthcare professionals can also tailor treatments based on specific patient information through an effective use of analytics. Future Outlook The future prospects look brighter with IoT and data science being integrated. When AI is more present, its combination with IoT shows even more smart, futuristic solutions capable of making decisions autonomously based on real-time analytics of data. once. Agriculture For example, an AI-enabled device, a smart home could learn user preferences over time and can, therefore, automatically adjust settings for optimal comfort and energy efficiency. In agriculture, crop health analysis is possible from above with actionable insights directly to farmers in real-time through drones. IoT sensors in agriculture: IoT sensors detect moisture levels in the soil, temperature, and health of crops. These insights will help farmers optimize irrigation schedules and when to apply pesticides. MarketsandMarkets estimates that the precision farming market is expected to grow from 7 billion dollars in 2020 to 12 billion dollars by 2025. Insight- driven data maximize yields with minimum resource utilization. With society becoming more cognizant of sustainability issues, this may be compounded by IoT integration with data science in leading to even more intelligent resource management systems that waste less while conserving the environment. Manufacturing IoT manufacturing devices track the performance of machines and alert about the need for maintenance before a failure could potentially occur. Predictive maintenance helps avoid or reduce stoppages or downtime and saves costs. Conclusion The marriage of IoT and data science is opening doors for a smarter way to improve life in a myriad of places. To be able to improve healthcare innovations which have better results with their patients, agricultural practices leading to more food security but this time in a more sustainable manner; it is not easy to surpass the impact. According to IDC, predictive maintenance is likely to assist manufacturers in saving up to 630 billion dollars annually by 2025 with reduced downtime and improved efficiency. Challenges Ahead Addressing cybersecurity threats and system integration will be important for realizing this potential in full. As technology rapidly changes, embracing this convergence becomes essential for businesses looking for competitive advantages while positively contributing to the societal good. Tomorrow's world promises to usher in unprecedented opportunities driven by intelligent connectivity and insightful analysis as AI and machine learning continue to advance these capacities. Despite the numerous benefits that can be drawn from the intersection of IoT with data science, there are several challenges that need to be addressed. Data privacy and security is the primary concern. With every new device coming onto the internet, the threat of cyberattacks is bound to rise. According to Cybersecurity Ventures, it is expected that from 2017 to 2021, global spending on cybersecurity will cross $1 trillion. Security measures will be the key factor in winning over consumers. 28 www.thecioleaders.com
Don’t worry about failure; you only have to be right Real-Life Applications Integration of different systems and standards is another challenge. Most IoT devices operate on different platforms with variant protocols, making it challenging for organizations to collect data in a way that is effective consolidation. There is a need to enforce universal standards in the realization of full potential for IoT technologies. The convergence of IoT and data science has resulted in innovative applications in health among other sectors. Healthcare also uses wearable devices to monitor, in real time, vital signs of patients. This kind of constant flow of data can help in the early detection of anomalies and thereby timely intervention. A study published by the Journal of Medical Internet Research establishes that this telemetry allowed a 30 percent drop in the readmission rate of the patients. Healthcare professionals can also tailor treatments based on specific patient information through an effective use of analytics. Future Outlook The future prospects look brighter with IoT and data science being integrated. When AI is more present, its combination with IoT shows even more smart, futuristic solutions capable of making decisions autonomously based on real-time analytics of data. once. Agriculture For example, an AI-enabled device, a smart home could learn user preferences over time and can, therefore, automatically adjust settings for optimal comfort and energy efficiency. In agriculture, crop health analysis is possible from above with actionable insights directly to farmers in real-time through drones. IoT sensors in agriculture: IoT sensors detect moisture levels in the soil, temperature, and health of crops. These insights will help farmers optimize irrigation schedules and when to apply pesticides. MarketsandMarkets estimates that the precision farming market is expected to grow from 7 billion dollars in 2020 to 12 billion dollars by 2025. Insight- driven data maximize yields with minimum resource utilization. With society becoming more cognizant of sustainability issues, this may be compounded by IoT integration with data science in leading to even more intelligent resource management systems that waste less while conserving the environment. Manufacturing IoT manufacturing devices track the performance of machines and alert about the need for maintenance before a failure could potentially occur. Predictive maintenance helps avoid or reduce stoppages or downtime and saves costs. Conclusion The marriage of IoT and data science is opening doors for a smarter way to improve life in a myriad of places. To be able to improve healthcare innovations which have better results with their patients, agricultural practices leading to more food security but this time in a more sustainable manner; it is not easy to surpass the impact. According to IDC, predictive maintenance is likely to assist manufacturers in saving up to 630 billion dollars annually by 2025 with reduced downtime and improved efficiency. Challenges Ahead Addressing cybersecurity threats and system integration will be important for realizing this potential in full. As technology rapidly changes, embracing this convergence becomes essential for businesses looking for competitive advantages while positively contributing to the societal good. Tomorrow's world promises to usher in unprecedented opportunities driven by intelligent connectivity and insightful analysis as AI and machine learning continue to advance these capacities. Despite the numerous benefits that can be drawn from the intersection of IoT with data science, there are several challenges that need to be addressed. Data privacy and security is the primary concern. With every new device coming onto the internet, the threat of cyberattacks is bound to rise. According to Cybersecurity Ventures, it is expected that from 2017 to 2021, global spending on cybersecurity will cross $1 trillion. Security measures will be the key factor in winning over consumers. 28 www.thecioleaders.com
Most Influen?al Data Science Innovators Defining the Future in 2024 W industries, including artificial intelligence (AI). Many women AI leaders serve as role models for others, inspiring countless women to pursue careers in this rapidly advancing field. One such influential figure is Poornima Ramaswamy, who has over 25 years of experience in the data and AI space. She has witnessed the evolution of this field, from its earlier days as Decision Support Systems to the current GenAI era. omen are increasingly breaking barriers across various organizations and Her goal with PivotX Advisors as its Founder and CEO is to leverage her and her teams’ extensive knowledge and experiences to directly assist clients. PXA takes a unique approach to data to unlock its full potential in individualizing experiences and creating data-centric businesses. experiences through data. That has yet to be realized at an individual level. We have been creating solutions that are data-driven and standardized templates at a role or persona level and not individualized. With GenAI, it’s easy to envision a world where we can reimagine businesses and business models to be data centric at scale while creating experiences that are unique and realizing the potential of individualization. Data’s transformative period has grown exponentially over the past 2–3 years due to Generative AI (GenAI). PXA and Poornima believe that, with a responsible approach, one can create solutions that empower humanity. I believe we truly are at a tipping point in leveraging data, which is more complex and complicated than ever, to combine context and experience and drive individualization. PivotX was born to help our customers navigate this complexity and get to the next era of individualization in the world of contextual insights and data decisions. Throughout her career, Poornima has observed transformations in data technology, from data warehouses and data lakes to big data and the emergence of large and small language models, BI, AI, and augmented BI. Despite initially entering the field fresh out of business school without knowing what to expect, she has been captivated by the possibilities of data and AI from the very beginning and has remained committed to this space ever since. In this Q&A, Poornima shares her thoughts on the current market, why organizations need to embrace a data- centric approach, and how the power of data has never been greater. As the founder and CEO, what inspired you to focus on AI, data, and digital solutions? What motivates you the most in your role, and how do you stay innovative in the rapidly evolving field of AI and data? Poornima Ramaswamy Founder and CEO PivotX Advisors Progressively over the years, we have embraced the power of data to unlock our ability to make decisions based on facts and figures combined with context and experience. Now more than ever, we can realize this potential while also embedding data and GenAI- powered insights into every interface, service, and product, be it digital or physical. The rapid evolution has always kept me motivated to give it my best every day over the last 25 years. Since the time I’ve been in this space, it’s always been one of the top 5 priorities for the CIO, and now it’s among the top 5 priorities for the board. After more than two decades of consulting and advising clients and experiencing the data space from various perspectives, including consultant, business leader, channel leader, and customer, Poornima decided to launch PivotX Advisors (PXA), a boutique Data and GenAI strategy and consulting services firm. While I always keep up with market movements and innovations in the industry, it just doesn’t feel right if I’m We’ve always imagined the possibility of creating intuitive and personalized 30 31 October, 2024 www.thecioleaders.com
Most Influen?al Data Science Innovators Defining the Future in 2024 W industries, including artificial intelligence (AI). Many women AI leaders serve as role models for others, inspiring countless women to pursue careers in this rapidly advancing field. One such influential figure is Poornima Ramaswamy, who has over 25 years of experience in the data and AI space. She has witnessed the evolution of this field, from its earlier days as Decision Support Systems to the current GenAI era. omen are increasingly breaking barriers across various organizations and Her goal with PivotX Advisors as its Founder and CEO is to leverage her and her teams’ extensive knowledge and experiences to directly assist clients. PXA takes a unique approach to data to unlock its full potential in individualizing experiences and creating data-centric businesses. experiences through data. That has yet to be realized at an individual level. We have been creating solutions that are data-driven and standardized templates at a role or persona level and not individualized. With GenAI, it’s easy to envision a world where we can reimagine businesses and business models to be data centric at scale while creating experiences that are unique and realizing the potential of individualization. Data’s transformative period has grown exponentially over the past 2–3 years due to Generative AI (GenAI). PXA and Poornima believe that, with a responsible approach, one can create solutions that empower humanity. I believe we truly are at a tipping point in leveraging data, which is more complex and complicated than ever, to combine context and experience and drive individualization. PivotX was born to help our customers navigate this complexity and get to the next era of individualization in the world of contextual insights and data decisions. Throughout her career, Poornima has observed transformations in data technology, from data warehouses and data lakes to big data and the emergence of large and small language models, BI, AI, and augmented BI. Despite initially entering the field fresh out of business school without knowing what to expect, she has been captivated by the possibilities of data and AI from the very beginning and has remained committed to this space ever since. In this Q&A, Poornima shares her thoughts on the current market, why organizations need to embrace a data- centric approach, and how the power of data has never been greater. As the founder and CEO, what inspired you to focus on AI, data, and digital solutions? What motivates you the most in your role, and how do you stay innovative in the rapidly evolving field of AI and data? Poornima Ramaswamy Founder and CEO PivotX Advisors Progressively over the years, we have embraced the power of data to unlock our ability to make decisions based on facts and figures combined with context and experience. Now more than ever, we can realize this potential while also embedding data and GenAI- powered insights into every interface, service, and product, be it digital or physical. The rapid evolution has always kept me motivated to give it my best every day over the last 25 years. Since the time I’ve been in this space, it’s always been one of the top 5 priorities for the CIO, and now it’s among the top 5 priorities for the board. After more than two decades of consulting and advising clients and experiencing the data space from various perspectives, including consultant, business leader, channel leader, and customer, Poornima decided to launch PivotX Advisors (PXA), a boutique Data and GenAI strategy and consulting services firm. While I always keep up with market movements and innovations in the industry, it just doesn’t feel right if I’m We’ve always imagined the possibility of creating intuitive and personalized 30 31 October, 2024 www.thecioleaders.com
, , GenAI are invisible in the solution. For the user, this experience leads to a new and natural way of doing their day-to- day role more intuitively and easily. not speaking to customers every day to understand the implications of the new and the old for them and their businesses. The rapid evolution of the industry has been the driving force behind Poornima's motivation to give her best every day for the past 25 years. It’s like how my 78-year-old mother, who is into mobile games, can very easily figure out these games without even going through a training module. Or my 2-year-old nephew, who just watches us tap the phone, and in two days he knows how to search on the phone and where to tap to watch wheels on the bus—especially the “yeyyow” bus version! It’s one thing to be fascinated by technology and its possibilities, but I’ve seen firsthand that the thin line between ambition, aspiration, and realization is the human factor. While businesses are entities, the success of any solution is when we are able to make it work for the people in those businesses for their roles in the value chains and day-to-day decisions. It’s the intersection between people, technology, and value that I’m trying to form my own opinions and approaches on. That’s how I keep myself updated, relevant, and valuable to my customers and teams. humans, don’t compartmentalize our decisions that way. We are always living in multiple realms of data within the same decision context. This framework marries data-centric solution demand with an OKR framework and a business scorecard framework. Once prioritization is done, it is critical to map out the user journey and user experience for the prioritized business value chains. So as data and AI professionals, we need to change our thinking in terms of block diagrams of left-to-right, top-to- bottom linear solutions. We need more non-linear approaches and applications of data to solve business needs. If real- time is needed in these contexts, today’s technologies can definitely help enable them. What are some of the key trends or advancements we can expect to see in AI and data technologies in the coming years? This is different from the “grab and store all the data that comes your way” model that many organizations follow today. Instead, it focuses on putting precious resources—people, technical, and investment—against measurable and valuable business needs. GenAI is going to be a great equalizer and normalizer. Yes, there are 10 or so larger tech firms and enterprise institutions that are creating the foundational tech platforms or domain- centric platforms. However, beyond that, we do believe we are going to see a race to democratize GenAI and embed it everywhere. It’s going to be embedded in solutions in such a way that a continuum of data—BI, ML, and GenAI—will all power a given user journey. It’s important to note that, although I believe it’s going to reshape businesses and business models, we must figure out the governance and improve trust in the solutions to ensure widespread adoption. How do you cope with the data deluge to determine which data will create insights and generate value and which is just noise? How do you ensure that the capabilities you develop are effectively integrated into operational systems and accessible to decision-makers across various sectors? When customers are faced with data deluge, which is basically every customer, we advise them to align with business priorities and corporate objectives before they embark on any data-centric solutions. At PXA, we believe in an approach called Data as a Product, which aims to create data and AI products that can be embedded into business value chains, interfaces, and decision-making platforms. We have a clear, three-step process to help align and focus efforts. This is also backed by a very structured business-IT operating model and alignment process framework, along with a value measurement framework that we have defined. Following this process includes adoption and change management elements, which are designed along with the prioritization process. It starts with understanding what the people in business value chains do every day, every month, and every quarter. We can then identify the role that data and GenAI can play in these value chains to automate, augment, and assist in reimagining roles to focus on higher-value tasks. The result is an approach that brings product management discipline, design thinking practices, and agile principles to the world of data and AI. • We identify business value chains that can be transformed by embedding data and generating AI-driven insights. We design the business outcome of each business value chain and align with a corporate objectives framework (OKR framework) to prioritize the opportunities with the biggest ROI. We then lay out the data needs that impact the most valuable identified opportunities. Today’s solutions are too focused on doing projects to solve use cases. The result is point solutions without considering the overall context of the user journey. These solutions lack the crucial context and experience that the humans in the loop deserve. What strategies do you employ to identify the most valuable categories of data and glean real-time insights for your clients? Data is going to be reshaped to break down silos across transactional data, operational data, analytical data, and real-time data. • We need to realize that the world of decisions is fluid and not divided into mutually exclusive categories: transactional data and decisions, operational data and decisions, and analytical data and decisions. We, as When we start with humans first, business value chain next, and data opportunity third, we naturally create data-centric solutions where data and • 32 33 October, 2024 www.thecioleaders.com
, , GenAI are invisible in the solution. For the user, this experience leads to a new and natural way of doing their day-to- day role more intuitively and easily. not speaking to customers every day to understand the implications of the new and the old for them and their businesses. The rapid evolution of the industry has been the driving force behind Poornima's motivation to give her best every day for the past 25 years. It’s like how my 78-year-old mother, who is into mobile games, can very easily figure out these games without even going through a training module. Or my 2-year-old nephew, who just watches us tap the phone, and in two days he knows how to search on the phone and where to tap to watch wheels on the bus—especially the “yeyyow” bus version! It’s one thing to be fascinated by technology and its possibilities, but I’ve seen firsthand that the thin line between ambition, aspiration, and realization is the human factor. While businesses are entities, the success of any solution is when we are able to make it work for the people in those businesses for their roles in the value chains and day-to-day decisions. It’s the intersection between people, technology, and value that I’m trying to form my own opinions and approaches on. That’s how I keep myself updated, relevant, and valuable to my customers and teams. humans, don’t compartmentalize our decisions that way. We are always living in multiple realms of data within the same decision context. This framework marries data-centric solution demand with an OKR framework and a business scorecard framework. Once prioritization is done, it is critical to map out the user journey and user experience for the prioritized business value chains. So as data and AI professionals, we need to change our thinking in terms of block diagrams of left-to-right, top-to- bottom linear solutions. We need more non-linear approaches and applications of data to solve business needs. If real- time is needed in these contexts, today’s technologies can definitely help enable them. What are some of the key trends or advancements we can expect to see in AI and data technologies in the coming years? This is different from the “grab and store all the data that comes your way” model that many organizations follow today. Instead, it focuses on putting precious resources—people, technical, and investment—against measurable and valuable business needs. GenAI is going to be a great equalizer and normalizer. Yes, there are 10 or so larger tech firms and enterprise institutions that are creating the foundational tech platforms or domain- centric platforms. However, beyond that, we do believe we are going to see a race to democratize GenAI and embed it everywhere. It’s going to be embedded in solutions in such a way that a continuum of data—BI, ML, and GenAI—will all power a given user journey. It’s important to note that, although I believe it’s going to reshape businesses and business models, we must figure out the governance and improve trust in the solutions to ensure widespread adoption. How do you cope with the data deluge to determine which data will create insights and generate value and which is just noise? How do you ensure that the capabilities you develop are effectively integrated into operational systems and accessible to decision-makers across various sectors? When customers are faced with data deluge, which is basically every customer, we advise them to align with business priorities and corporate objectives before they embark on any data-centric solutions. At PXA, we believe in an approach called Data as a Product, which aims to create data and AI products that can be embedded into business value chains, interfaces, and decision-making platforms. We have a clear, three-step process to help align and focus efforts. This is also backed by a very structured business-IT operating model and alignment process framework, along with a value measurement framework that we have defined. Following this process includes adoption and change management elements, which are designed along with the prioritization process. It starts with understanding what the people in business value chains do every day, every month, and every quarter. We can then identify the role that data and GenAI can play in these value chains to automate, augment, and assist in reimagining roles to focus on higher-value tasks. The result is an approach that brings product management discipline, design thinking practices, and agile principles to the world of data and AI. • We identify business value chains that can be transformed by embedding data and generating AI-driven insights. We design the business outcome of each business value chain and align with a corporate objectives framework (OKR framework) to prioritize the opportunities with the biggest ROI. We then lay out the data needs that impact the most valuable identified opportunities. Today’s solutions are too focused on doing projects to solve use cases. The result is point solutions without considering the overall context of the user journey. These solutions lack the crucial context and experience that the humans in the loop deserve. What strategies do you employ to identify the most valuable categories of data and glean real-time insights for your clients? Data is going to be reshaped to break down silos across transactional data, operational data, analytical data, and real-time data. • We need to realize that the world of decisions is fluid and not divided into mutually exclusive categories: transactional data and decisions, operational data and decisions, and analytical data and decisions. We, as When we start with humans first, business value chain next, and data opportunity third, we naturally create data-centric solutions where data and • 32 33 October, 2024 www.thecioleaders.com
There is going to come a time when we can create trust and privacy scores for data as it is created in the source. Data will travel with a data signature, which will help us avoid doing these massive one-time clean-ups. This will provide the opportunity for the data creators to improve trust during the creation process and as close to real-time as possible. I imagine it being like having a Roomba for data that will follow you everywhere and clean up after you without you having to disrupt your day. I do think there will be a time when that’s possible because of GenAI. Another belief I have is that just because it’s always been done that way doesn’t mean it’s the right way to do it. We must foster a culture of challenging our own thinking and our assumptions. • Lead from the front while also being in the trenches with my teams. Walk in our customers’ shoes. Think about not just the technical solution, but everything required to drive the outcome from the solution. Never compromising on quality. Be agile in action and thinking. Stay hungry—never get complacent about our expertise and learning. Be open to all ideas while working as one unit. Last and most important, have fun with whatever we undertake! • While challenging thinking and assumptions are critical, I am also a strong believer that while making decisions on anything (solutions, operational decisions), we can debate, discuss, and deliberate up to the point where we’ve made the decision. Once we’ve decided, we are not going to double-guess ourselves or keep debating it. We jump into it as one team, regardless of whether we agree with the decision or not. Two roads diverged in a wood, and I—I took the one less traveled by, And that has made all the difference. • • • • • How do you balance the need for innovation with the practical considerations of implementing AI and data solutions in real-world business environments? What advice would you give to aspiring entrepreneurs or professionals looking to enter the AI and data industries? We drive forward with the mindset of learning from any failures in case the decision is wrong. No decision or action is wrong as long as we learn from our mistakes. Fail fast, and learn fast. It’s a mindset question, not a technology question. We need to think about creating human-empowering solutions and not just faster horse- drawn carriages. It needs to be so simple and intuitive that we empower humans to do what we do best—think responsibly and act responsibly in context, armed with the insights and information needed for the moment. Whether you know it or not, everyone is using data and AI in their lives. My good friend James says that data is what makes the world go from analog to digital. - Robert Frost How do you approach leadership and what values do you prioritize in your team? So I don’t really think it's about “getting into data and AI," but more about how we embrace data and AI to be a force multiplier in our daily personal lives and our business worlds. We shouldn’t think about it as training people on data and AI to become technology specialists in it (unless that’s your chosen profession!). Instead, be aware of the possibilities for reimagining your businesses, business models, and creating competitive markets through data and GenAI. The main philosophy driving all our decisions will be, "Make it Better Than We Found It.” In every interaction and engagement—whether with customers, the community, or our colleagues—we aim to leave things better than we started. We also need to expand our framework from just Build vs. Buy to Build, Buy, and Assemble. We need to create solutions that will either solve a business need or help businesses reframe and reimagine their business, role, or function. Business can’t always be thinking about the next shiny new technology. They are looking for technology to be an accelerator to grow their business. Our focus is to create an organization that focuses on doing right by our customers, our teams, and the business in that order. I honestly think about it in terms of creating long term solutions with an amazing team of people for problems that are important for my clients. In terms of entrepreneurs, ask me that question in two years! I have just started my entrepreneurial journey and have loads to learn about myself before I can dole out any meaningful advice. How do you foster a culture of collaboration and innovation within your organization? We have a clear list of values we prioritize: My personal belief is that we are in a knowledge world. In such a world, titles and positions are just meant for assigning accountability. 34 www.thecioleaders.com
There is going to come a time when we can create trust and privacy scores for data as it is created in the source. Data will travel with a data signature, which will help us avoid doing these massive one-time clean-ups. This will provide the opportunity for the data creators to improve trust during the creation process and as close to real-time as possible. I imagine it being like having a Roomba for data that will follow you everywhere and clean up after you without you having to disrupt your day. I do think there will be a time when that’s possible because of GenAI. Another belief I have is that just because it’s always been done that way doesn’t mean it’s the right way to do it. We must foster a culture of challenging our own thinking and our assumptions. • Lead from the front while also being in the trenches with my teams. Walk in our customers’ shoes. Think about not just the technical solution, but everything required to drive the outcome from the solution. Never compromising on quality. Be agile in action and thinking. Stay hungry—never get complacent about our expertise and learning. Be open to all ideas while working as one unit. Last and most important, have fun with whatever we undertake! • While challenging thinking and assumptions are critical, I am also a strong believer that while making decisions on anything (solutions, operational decisions), we can debate, discuss, and deliberate up to the point where we’ve made the decision. Once we’ve decided, we are not going to double-guess ourselves or keep debating it. We jump into it as one team, regardless of whether we agree with the decision or not. Two roads diverged in a wood, and I—I took the one less traveled by, And that has made all the difference. • • • • • How do you balance the need for innovation with the practical considerations of implementing AI and data solutions in real-world business environments? What advice would you give to aspiring entrepreneurs or professionals looking to enter the AI and data industries? We drive forward with the mindset of learning from any failures in case the decision is wrong. No decision or action is wrong as long as we learn from our mistakes. Fail fast, and learn fast. It’s a mindset question, not a technology question. We need to think about creating human-empowering solutions and not just faster horse- drawn carriages. It needs to be so simple and intuitive that we empower humans to do what we do best—think responsibly and act responsibly in context, armed with the insights and information needed for the moment. Whether you know it or not, everyone is using data and AI in their lives. My good friend James says that data is what makes the world go from analog to digital. - Robert Frost How do you approach leadership and what values do you prioritize in your team? So I don’t really think it's about “getting into data and AI," but more about how we embrace data and AI to be a force multiplier in our daily personal lives and our business worlds. We shouldn’t think about it as training people on data and AI to become technology specialists in it (unless that’s your chosen profession!). Instead, be aware of the possibilities for reimagining your businesses, business models, and creating competitive markets through data and GenAI. The main philosophy driving all our decisions will be, "Make it Better Than We Found It.” In every interaction and engagement—whether with customers, the community, or our colleagues—we aim to leave things better than we started. We also need to expand our framework from just Build vs. Buy to Build, Buy, and Assemble. We need to create solutions that will either solve a business need or help businesses reframe and reimagine their business, role, or function. Business can’t always be thinking about the next shiny new technology. They are looking for technology to be an accelerator to grow their business. Our focus is to create an organization that focuses on doing right by our customers, our teams, and the business in that order. I honestly think about it in terms of creating long term solutions with an amazing team of people for problems that are important for my clients. In terms of entrepreneurs, ask me that question in two years! I have just started my entrepreneurial journey and have loads to learn about myself before I can dole out any meaningful advice. How do you foster a culture of collaboration and innovation within your organization? We have a clear list of values we prioritize: My personal belief is that we are in a knowledge world. In such a world, titles and positions are just meant for assigning accountability. 34 www.thecioleaders.com
Leadership is not about titles, positions, or owcharts. It is about one life inuencing another.
Leadership is not about titles, positions, or owcharts. It is about one life inuencing another.
C L E A D E R S www.thecioleaders.com
