AI.pptx 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 INTELLIGENCE 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 SCIENCE
- 6. AI and 4. Industrial Revolution
- 7. 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
- 8. Benefits of AI Reduce Cost and Increase Asset Efficiency Make Data-Driven Decisions Deliver Exceptional Customer Experience Accelerate Innovation Predict Outcomes Reduce Business Risk 8
- 9. AI Is Everywhere CONSUMER Virtual Assistants Smart Home Self-Driving Cars ENTERPRISE Healthcare Digital Supply Chains Education Copyright © 2018, Oracle and/or its affiliates. All rights reserved. 9
- 12. 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
- 40. 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
- 41. 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
- 42. Applying AI in the Enterprise Manual Monitoring Intensive Human Interactions Fixed Process Autonomous Operations Augmented Experience Adaptive Process Traditional Enterprise Applied AI AI Enterprise 42
- 50. Enterprise AI Challenges Fragmented Usage Technology and Infrastructure Specialized Skills Data silos limit effectiveness Incompatible systems Multiple platforms Scalability Specialized hardware Model management Expensive and scarce talent Domain knowledge gap Complex model building 50
- 51. 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
- 52. Thank You 52