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Top 10 Artificial Intelligence Technologies In 2020 | AI Technology 2020 | Simplilearn

Artificial Intelligence has become the most debated technology of the 21st century and has revolutionized every sector of business. <br><br>About Simplilearn Artificial Intelligence course:<br>Simplilearn'su2019 Introduction to Artificial Intelligence course is designed to help learners decode the mystery of artificial intelligence and its business applications. The course provides an overview of AI concepts and workflows, machine learning and deep learning, and performance metrics. Youu2019ll learn the difference between supervised, unsupervised and reinforcement learning; be exposed to use cases, and see how clustering and classification algorithms help identify AI business applications.<br><br>What skills will you learn from this Introduction to Artificial Intelligence course?<br>Upon completion of this course, you will understand:<br>1. The meaning, purpose, scope, stages, applications and effects of AI<br>2. Fundamental concepts of machine learning and deep learning<br>3. The difference between supervised, semi-supervised and unsupervised learning <br>4. Machine Learning workflow and how to implement the steps effectively<br>5. The role of performance metrics and how to identify their key methods<br><br>Who should take this Introduction to Artificial Intelligence course?<br>Simplilearnu2019s Introduction to Artificial Intelligence imparts the basic concepts and principles of Artificial Intelligence to learners. The course caters to CxO level and middle management professionals who want to improve their ability to derive business value and ROI from AI and machine learning. This Artificial Intelligence Introduction course does not require programming or IT background, making it well-suited for the following audience:<br>1. Developers aspiring to be an artificial intelligence engineer or machine learning engineer<br>2. Analytics managers who are leading a team of analysts <br>3. Information architects who want to gain expertise in AI algorithms <br>4. Analytics professionals who want to work in machine learning or artificial intelligence<br>5. Graduates looking to build a career in artificial intelligence or machine learning <br><br>Learn more at https://www.simplilearn.com/artificial-intelligence-masters-program-training-course<br>

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Top 10 Artificial Intelligence Technologies In 2020 | AI Technology 2020 | Simplilearn

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  1. 10 Marketing Automation • Marketing automation is a technology that automatically manages marketing processes and multifunctional campaigns, across various channels • Automated customer segmentation, product recommendation, and campaign management are being done using AI

  2. 9 Decision Management • Artificial Intelligence systems can insert rules and logic into AI systems in order to use them for training, maintenance, and tuning • It is used in a wide variety of enterprise applications for taking automated decisions

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  4. 8 Digital Twin • A Digital Twin is a digital representation of a physical object or system • It is a virtual replica of physical devices that can run simulations before actual devices are built and deployed

  5. 8 Digital Twin

  6. 7 AI-optimized hardware • Graphics Processing Units (GPU) and appliances are being structured and used to execute Artificial Intelligence oriented tasks specifically • Organizations are willing to invest in AI to build sophisticated sensors, chipsets, and other hardware components

  7. 6 Robotic Process Automation • RPA is an application of Artificial Intelligence governed by business logic and structured inputs that is aimed at automating business processes • It provides organizations with the ability to reduce staffing costs and human error

  8. 6 Robotic Process Automation

  9. 5 Machine Learning • Machine Learning is a branch of Artificial Intelligence that provides new techniques to build intelligent systems • It is the scientific study of algorithms and statistical models that computer systems use to perform a specific task without using explicit instruction

  10. 5 Machine Learning

  11. 4 Deep Learning • Deep Learning is a subfield of machine learning concerned with algorithms inspired by the structure and function of the human brain • It uses artificial neural networks to learn from large amounts of data and build prediction models

  12. 4 Deep Learning

  13. 3 Internet of Things • Internet of Things is the concept of connecting any device to the internet and to other connected devices • It has the ability of transfer data over a network without requiring human-to-human or human-to-computer interaction

  14. 3 Internet of Things

  15. 2 Natural Language Processing • Natural Language Processing is a branch of Artificial Intelligence that helps computers understand and interpret human language • It is important if you want an intelligent system like robot to perform as per your instructions

  16. 2 Natural Language Processing

  17. 1 Virtual Agents • Virtual Agents are computer generated AI virtual characters that serve customers via chatbot functionality • It is a specialized software agent that performs tasks or services for an individual based on commands or questions

  18. 1 Virtual Agents

  19. Quiz Time! Which of the following is an example of Machine Learning? A) Web Analytics B) Data Migration C) Fraud Detection D) Smart Homes

  20. Questions & Answers

  21. 1 VB. NET Reasons For Decline: • The language is seen to be bulky and clumsy • Work nowadays usually involves maintaining legacy applications or migrating to C# • Capabilities are limited to the Windows platform • Harsh declaration syntax and requirements, a rigid development environment and a lack of libraries

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