What will products of the future look like? Artificial Intelligence demystified.

1. Managing Products of The Future
KeepCODING, OctOBER 2018 - MARC ABRAHAM
ManagING future products

2. Future PRODUCTS aRE …

3. AI WILL RULE
THERE’s 1 THING I DO KNOW

4. AI = Data + ALGORithms

5. AI = DUMB + INTELLIGENCE
AI = Data + ALGORithms

10. https://eng.uber.com/michelangelo/

11. HUMANS WILL BE NEEDED
BUT …

12. If HUMANS DON’t INPUT
DISASTER LOOMS

13. WHAT IS AI?
3 perspectives on AI
WHAT does this mean FOR US?
OUTLINE

14. WHAT IS AI?

15. THE “INTELLIGENT
AGENTS” ARE COMING!

16. IT’s ALL ABOUT DATA
1. COLLATING
2. ORGANISING
3. RECOGNISING
4. PREDICTING
5. AUGMENTING

17. https://towardsdatascience.com/supervised-vs-unsupervised-learning-14f68e32ea8d

18. LET’s APPLY 3 lenses:
1. TECHNOLOGY
2. People
3. PRODUCT

19. Systematic thinking
NARROW VS GENERAL AI
Processing power
WEB DEVELOPMENT
1. TECHNOLOGY:

20. SYSTEMATIC THINKING:
https://www.sciencedirect.com/science/article/pii/S1877050914012927

21. NARROW VS GENERAL AI

22. BUT … WHAT IF
KEY data IS not part of
the current environment?

23. If HUMANS DON’t INPUT
DISASTER LOOMS

25. PROCESSING POWER
“BUCK’s LAW”

26. WEB DEVELOPMENT
BETTER INTERactions

27. VOICE CONVERSation BETWEEN USER and WEB

28. MOBILE
PERSONALISED EXPERIENCES

30. Lense 1 - technology:
START WITH HUMAN INPUT TO FEED THE MACHINE
DATA WILL DRIVE MOBILE and WEB
DEVELOPMENT
BUT we’ll need DATA PROCESSING power

31. 2. PEOPLE
HUMANS WILL BE NEEDED

32. … INITIALLY ANYWAY!

35. USER DATA & ETHICS

36. https://www.blog.google/technology/ai/ai-principles/

37. Lense 2 - PEOPLE:
PEOPLE TO TRAIN MACHINES … INITIALLY
PERSONALISATION, SPEED and ERROR
DATA MANAGEMENT & ETHICS ARE CRUCIAL

38. LENSE 3 - PRODUCT:

39. PRODUCT lifecycle

40. BIG BANG DISRUPTION
http://www.accenture-blogpodium.nl/tag/big-bang-disruption/

42. YOU’VE GOT THE DATA

43. THE WORLD IS YOUR OYSTER

44. AND YOU CREATE MOATS

45. WITH A FAMILIAR INTERFACE

46. AND WITHOUT

49. PRODUCT ETHICS

53. Lense 3 - product:
DATA as a prime strategic advantage
INTERFACES WILL EVOLVE RADICALLY
RESPECT THE USER EVEN MORE!

54. WHAT DOES THIS MEAN FOR US!?

55. 1. Partnership
Between human & machine

56. 2. THE FLIP SIDE of data
SWINGING BETWEEN GOOD & EVIL

57. 3. PRODUCTS
IN DIFFERENT SHAPES & SIZES

58. IN SHORT
Start with the problem to solve
Identify the data you need
Design and build accordingly!

60. THANK YOU!
@MAA1 / marcabraham.com