Artificial Intelligence For Digital Transformation Powerpoint Presentation Slides

1. Artificial Intelligence for DIGITAL TRANSFORMATION Your Company Name 1

2. CONTENT Evolution of Artificial Intelligence (AI) How Companies are using Artificial Intelligence Building AI Capabilities How can AI help organization meet digital transformation goals? Six stages of Digital Transformation AI best practices for Digital Transformation Challenges of Artificial Intelligence 2

3. Evolution of Artificial Intelligence (AI) 2007 2008 2009 2010 Artificial Intelligence The first conference on AI by John McCartny, Marvin Minsky Turing test Alan Turing General Problem Solver Demonstrated by Newell Programmable mechanical calculating machine Ada 2015 2014 2013 2012 2011 ELIZA & The First Expert System Joseph Weisenbaum, E. Geigwnbaum MacHack Industrial robot Unimations working on GE Knowledge-based medical diagnostics program Jack Myers Harry Pople Commercial expert system Chess-playing program by Greenblatt at MIT 2016 2017 2018 2019 Machine Learning, Deep Learning Polly: Behavior- based Robotics Ian Horswill Recommendation Technology TiVo Suggestions Mobile Recommendation Apps: Siri, Now, Cortana Apple, Google, Microsoft This slide is 100% editable. Adapt it to your needs and capture your audience's attention. 3

4. How Companies are using Artificial Intelligence Using runbook automation 16% Gauging internal compliance in using approved technology vendors 34% Reducing production management work by automating it 34% Information Technology 41% Resolving user’s technology problems 44% Detecting and deterring security intrusions 15% Tailoring promotions (online or offline) 16% Monitoring social media comments to determine overall brand affinity and issues Marketing 16% Improving media buying 19% Anticipating future customer purchases and presenting offers accordingly Finance & Accounting Financial trading (e.g., high-frequency trading enabled by AI) 17% Customer Service Automating call distribution 15% This slide is 100% editable. Adapt it to your needs and capture your audience's attention. 4

5. Building AI Capabilities Prediction Pattern recognition Cognitive search Natural language interaction Natural language generation Capture short- and long-term variability in data to improve forecasting Get summaries of everything that has been analyzed from a large document collection Tell a software application to generate a report on sales revenue predictions without having to run the reports yourself Understand trends for customer financial transactions and spot deviations to identify potentially fraudulent behavior Offer personalized recommendations to shoppers by matching their interests with other customers who purchased similar items. This slide is 100% editable. Adapt it to your needs and capture your audience's attention. 5

6. How can AI help organization meet digital transformation goals? Accounts payable and invoice processing Digital workforce Automating invoices and applying RPA (Robotic Process Automation) offers more intelligence to accounts payable. AI can also help staff make better decisions with the use of graphical dashboards Add text here › Can help by automating repetitive tasks or processes with RPA RPA allows knowledge workers to focus on addressing exceptions or solving problems Add text here › › › › › Compliance and risk Organizations should deploy AI in applications where a system can learn to understand, find, extract, and provide insights from unstructured documents Add text here › Onboarding Covers onboarding of new employees and customers Once the customer is enrolled, using machine-learning technology can track and learn from this customer’s behavior to let a company offer tailored services Add text here › › › › This slide is 100% editable. Adapt it to your needs and capture your audience's attention. 6

7. Six stages of Digital Transformation Formalized Strategic Converged Business as usual Firms operate with a familiar perspective of customers, metrics, processes & technology considering that this the solution to digital relevance Present & Active Organizations aim to improve and amplify specific touchpoints & processes Innovative & Adaptive Digital transformation becomes a way of business as the company realizes that change is constant and systems are established to identify & act upon latest market trends Company experiments becomes intentional while executing at more promising & capable levels Individuals work in collaboration realizing the strength of cooperative work as their research, work & shared insights contribute to new strategic roadmaps for digital transformation Dedicated digital transformation team is setup to guide strategy & operations based on business & customer centric goals This slide is 100% editable. Adapt it to your needs and capture your audience's attention. 7

8. AI best practices for Digital Transformation Maintain oversight Build trust in AI AI needs Human Governance AI as a tool and can be easily misused if not fully understood Human oversight will always be an essential part of ensuring that an AI is delivering correct and trustworthy results › › Take a rigorous approach to data & AI Training methodology AI is going to make businesses more productive by automating repetitive operations, releasing resources to focus on higher-value tasks › › › Maintain an unwavering focus on user experience Need to keep a balance between control and autonomy when applying AI technology For efficient collaboration between humans and machines, the appropriate level of automation must be carefully defined › Progress via small steps, moving rapidly and with purpose › Enterprise-scale momentum behind AI builds trust, skills, increases adoption, value delivery and the sheer buzz around AI in the organization Accelerate this by exploring multiple AI projects in parallel, in an agile delivery framework that can support rapid reallocation of effort and mix of skills › › Embed AI professionals within your business units and customer teams The most effective AI implementation teams are multi-disciplinary, with representatives from IT, operations and business teams complemented by AI and data analytics experts AI specialists also understand the business domain into which any solution is to be deployed › › This slide is 100% editable. Adapt it to your needs and capture your audience's attention. 8

9. Cost Involves not only initial software costs but also but the on-going costs for training employees and continued training of the AI system when business processes change Artificial Intelligence Challenges of Technology Options With multiple technology options, it is hard to narrow down the potential choices and select the best implementation path Inability to predict ROI Inability to precisely predict ROI especially at the start of the project will be a source of friction Culture Clash Any changes will be viewed with suspicion by the organization. Becomes difficult to make the organization adapt to such changes 9

10. Artificial Intelligence for Digital Transformation Icons Slide 10

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