The document discusses the current and future state of artificial intelligence and big data. It covers several key points: - Surveys show most senior executives and companies have undertaken big data initiatives and see them as successful, but some feel at risk of disruption. Most expect to invest in AI and many already do. - Current applications of machine learning and deep learning include credit scoring, media engagement analysis, sepsis prediction, pricing/inventory, and customer insights. - The future is envisioned to include advanced natural language understanding, question answering, speech interfaces, and artificial intelligence combined with behavioral analytics. - For AI to make truly autonomous decisions, it will need to develop long-term memory, meta-learning,

1. A WAY FORWARD
John Liu, PhD CFA
Digital Reasoning

2. DIGITAL REASONING
Trusted Cognitive Computing For A Better World
Machine Learning
platform that
understands
human
communication
Nashville
Washington
New York
London
Goldman Sachs
Silver Lake
HCA
Lemhi Ventures
Nasdaq
National
Security
Financial
Services
Healthcare
Data Science
DIGITAL REASONING |
CONFIDENTIAL
Prepared Exclusively for
Intel Capital

3. RIGHT OR LEFT HANDED?

4. 3 BIG IDEAS
WHERE ARE WE NOW?
WHERE ARE WE GOING?
HOW DO WE GET THERE?

6. Source: 2017 Big Data Business Impact
SENIOR EXECUTIVES: 95% HAVE
UNDERTAKEN BIG DATA INITIATIVES

7. Source: 2017 Big Data Business Impact
Survey
80% SAY BIG DATA INVESTMENTS
HAVE BEEN SUCCESSFUL

8. 47% FEEL AT
RISK BY
DISRUPTION
Source: 2017 Big Data Business Impact
Survey

9. 89% EXPECT TO INVEST IN AI
69% ALREADY INVEST IN AI
Source: 2017 Big Data Business Impact
Survey

10. EXPERIENTIAL LEARNING

11. MACHINE LEARNING

12. FINANCE: CREDIT SCORING

13. MEDIA: ENGAGEMENT

14. MEDICINE: SEPSIS PREDICTION

15. CONSUMER: PRICING, INVENTORY

16. CRM: CUSTOMER INSIGHT

17. DEEP LEARNING

18. IMAGE CAPTIONING

19. TRANSPORT: SELF DRIVING CARS

20. IDENTIFYING CAT VIDEOS ON
YOUTUBE

21. WHERE ARE WE GOING?

22. NATURAL LANG UNDERSTANDING

23. QUESTION ANSWERING

24. SPEECH INTERFACES
TODAY
2019?

25. CNN SPEECH RECOGNITION

26. ARTIFICIAL INTELLIGENCE AND
BEHAVIORAL ANALYTICS
Cognitive Affective
Conative
Reason
Knowledge
Experience
Emotions
Preferences
Attitudes
Desires
Intent, Tendency, Grit

27. INTENT MINING: BENFORD’S LAW
WHAT IS THE MOST
FREQUENT FIRST DIGIT IN A
NATURALLY OCCURRING
COLLECTION OF
NUMBERS?

28. REMEMBER THIS ON YOUR 1040

29. CONATIVE BEHAVIORAL ANALYTICS

30. PERSUASIVE TECH
Web sites,
mobile phones,
television, VR,
smartwatches,
intelligence
assistants
Behavior
modification,
attitude change,
motivation,
compromise
CAPTOLOGY

31. SKILL VS WILL
MACHINE LEARNING
DEEP LEARNING IS
SKILL, KNOWLEDGE,
CONTEXT
THEY DO NOT
CAPTURE DESIRE,
DRIVE, TENDENCIES,
END GOALS

32. STILL NEED HUMAN INTERVENTION
AND DECISION MAKING
WE WANT AUTONOMOUS,
TRANSPARENT DECISION-MAKING

33. • LONG-TERM MEMORY
• META-LEARNING
• REINFORCEMENT LEARNING
• INDUCTIVE TRANSFER LEARNING
• APPRENTICE LEARNING
A.I. FRONTIER

34. HOW DO WE GET THERE?

35. ENTERPRISE MODEL

36. DATA IS AN ASSET

37. DATA SCIENCE KEY TO
UNLOCKING VALUE

38. DATA MARKET PLACEMENT
DATA HUNTER
DATA GATHERER
DATA DINOSAUR

39. THE EXPERIENCE ECONOMY

40. THANK YOU.