Our Goal. 1. Demystify AI. 2. Translating AI into Business

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3 Our Goal 1. Demystify AI 2. Translating AI into Business

4 AI - CEO Perspective

5 Artificial Intelligence and Machine Learning... will empower and improve every business, every government organization, every philanthropy there is not an institution in the world that cannot be improved with Machine Learning. - Jeff Bezos, CEO and Founder, Amazon

6 In an AI first world we are rethinking all our products and applying Machine Learning and AI to solve user problems. We are doing that across every one of our products. - Sundar Pichai, CEO Google

7 Success in creating AI could be the biggest event in the history of our civilization. - Stephen Hawking, Astrophysicist, Futurist

8 Artificial Intelligence

9 By a machine? Artificial Intelligence

10 By a machine 1. Observe data representing reality 2. Learn from observations 3. Understand reason (algorithm) 4. Decide based on understanding Artificial Intelligence

11 Artificial Intelligence A set of algorithms and techniques for machines to mimic human intelligence for making decisions.

12 Microsoft or Apple? Partner? Who was that? Face? BMW X5 or Audi Q5? Car? Google or Amazon? In town or countryside? House? Decisions Decisions Decisions Investment? Vacation? Hire? Sicily or Corsica? John or Mona?

13 Expert Decision-Making Becomes Cheaper, Ubiquitous and Mainstream

14 Alan Turing Can machines think? Can machines learn?

15 Without learning there is no intelligence. Without intelligence there is no learning.

16 Machine Learning Ability of Machines to Transform Patterns in Data into Algorithms Predicting What They Mean

17 Machine Learning and Dogs Is there a dog in the picture? Only right 72% times by 2012 After ML 93% and better 10K dogs and 10K no dogs Learning rather than rules Examples (data) rather than logic Unstructured data for many decisions

18 Neural Logic Neuron Perceptron

19 Machine Learning

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21 Machine Learning Examples

22 AI System = Expert in a Black Box Input Data? Predictions & Decisions Transparency? Rationale?

23 Duality of Intelligence for Decision-Making

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25 Names Numbers Locations Tagged Images Senses Voice Gestures Most real world data is unstructured

26 AI is Machine Generated: Perception from recognizing Patterns in unstructured data to generate Prediction of what it represents, to make a Probabilistic decision.

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28 Translating AI into Business Business is all about Predictive Decision-Making

29 Stanford Univ. Skin Cancer Diagnosis AI outperformed expert dermatologists in diagnosis accuracy We made a very powerful machine learning algorithm that learns from data Instead of writing into computer code exactly what to look for, you let the algorithm figure it out. - Andre Esteva, co-lead author of the paper and a graduate student in the Thrun lab.

30 H&R BLOCK Tax Consulting Reinvent Retail Experience 10,000 Offices Largest in USA 70,000 Tax Experts 11 Million Tax Returns US Tax Code 74,000 pages AI = Tax Super-Expert Human = Client Personal Interface 85% get refund with AI vs. 75% average

31 Key Business Questions What business decisions can be automated? What data resources could be made available? What automation delivers useful customer value? What automation leads to a great business model?

32 Business Solution Model

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35 Discovering Your AI Opportunity Evolutionary approach Improving existing offerings and processes Radical approach Discovering disruptive business scenarios

36 Evolutionary Approach 6 Pillars

37 Radical Approach Scenario 10 years out Picture of the Future What if you had Perfect AI Science Fiction movies for inspiration and ideas What is the role of your company? Ecosystem? What is your business model?

38 A Balanced Shift from Human to AI

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40 AI&U Canvas To organize your AI concept

41 AI&U Canvas Zoomed

42 Creative AI Idea is the Very Beginning Biggest Challenge: Organization Change Management

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44 Thanks a Lot! Sharad Gandhi gandhi.sharad@gmail.com