AI.pptx Artificial Intelligence Artificial Intelligence

Artificial Intelligence

1. Artificial Intelligence Next Wave of Enterprise Transformation

2. Artifical Intelligence What is it, why we should care and how we can benefit from it?

3. ‘ THE TRUE SIGN OF INTELLIGENCE IS NOT KNOWLEDGE BUT IMAGINATION’ – Albert Einstein Artificial Intelligence 3

4. What Is AI? ‘Artificial intelligence is a branch of computer science that helps to create intelligent machines that simulate human decision making process with high level of efficiency, accuracy and precision.’ Learning Natural language processing Image processing Robotics Solving complex problems Reason and logic ARTIFICIAL INTE LL IGENCE A program that can sense, reason, act, and adapt MACHINE LEARNING Algorithms whose performance improves as they are exposed to more data over time 4 DEEP LEARNING Subset of ML in which multi-layered neural networks learn from vast amounts of data DATA S C IEN C E

5. AI and 4. Industrial Revolution

6. AI Adoption – Why Now? TECHNOLOGY DRIVERS Large Volumes of Data Structured Unstructured Video/ Images Text High Performance Compute CPU GPU TPU Cloud Technology Cloud Augments AI Adoption BUSINESS DRIVERS User Expectations Real-time Anytime, anywhere Seamless experience 7 Central Processing Unit (CPU): A processor designed to solve every computational problem in a general fashion. The cache and memory design is designed to be optimal for any general programming problem. Graphics Processing Unit (GPU): A processor designed to accelerate the rendering of graphics. Tensor Processing Unit (TPU): A co-processor designed to accelerate deep learning tasks develop using TensorFlow (a programming framework); Compilers have not been developed for TPU which could be used for general purpose programming; hence, it requires significant effort to do general programming on TPU

7. Benefits of AI Reduce Cost and Increase Asset Efficiency Make Data-Driven Decisions Deliver Exceptional Customer Experience Accelerate Innovation Predict Ou t c om e s Reduce Business Risk 8

8. AI Is Everywhere CONSUMER Virtual Assistants Smart Home Self-Driving Cars ENTERPR I SE Hea l thca r e Digital Supply Chains E d u c a tion Copyright © 2018, Oracle and/or its affiliates. All rights reserved. 9

9. Machine Learning in Business Applications MACHINE LEARNING Unsupervised Learning Reinforcement Learning Supervised Learning Fraud detection Predictive maintenance 12 Customer segmentation Recommender system Game AI Robot navigation

10. Market Trends ‘By 2020, smart agents will manage 40% of mobile interactions’ – Gartner ‘80% of executives believe artificial intelligence improves worker performance and creates jobs’ – Narrative Science ‘By 2022, 85% of CIOs will be piloting AI programs through a combination of buy, build and outsource efforts’ – Gartner ‘By 2022, Enterprise AI projects with built-in transparency will be 100% more likely to get funding from CIOs’ – Gartner 40

11. The Promise of AI Natural Human Experiences Revolutionize Decision Making Surpass Human Accuracy Anticipate and Accelerate Action Upgrade to Conventional Automation Copyright © 2018, Oracle and/or its affiliates. All rights reserved. Copyright © 2018, Oracle and/or its affiliates. All rights reserved. 41

12. Applying AI in the Enterprise Manual Moni t or i ng Intensive Human I nt e r actions Fixed P r ocess A u t onomous Operations A u gme nt ed Experience Adapt i v e Process Traditional Enterprise Applied AI AI Enterprise 42

13. Artifical Neural Network

14. Enterprise AI Challenges Fragmented Usage Technology and Infrastructure Specialized Skills Data silos limit effectiveness Incompatible systems Multiple p l a t f o r ms S c a l abil i ty Specialized hardware Model man a g e m e n t Expensive and scarce talent Domain knowledge gap Complex model building 50

15. AI: Ready-to-Go, Ready-to-Build, Ready-to-Work Ready-to-Go Ready-to-Build Ready-to-Work Applications: Adaptive Intelligent Apps Intelligent UX Conversational Agents Smart Data AI Platform: Data Management Data Science & Analytics Application Development Cloud Infrastructure Autonomous Database: Self-driving Self-securing Self-repairing 51

16. Thank You 52