Presented at Activate 2018

1. ROI – Roadmap on
information

2. 2
What do we
want to do
next?
Do we want to build for good
or for bad?
1. Human and Technology
trends
2. Human and Information
trends
3. The good and the bad of
information technologies

3. 3
HUMAN AND TECHNOLOGY

4. 1. THE INTERNET

5. 5
4.2B humans on the internet – 55% (80%) of world population
Population under
15 and over 65
Years

6. 6
MOBILE
PHONE
SATURATED

7. 2. COMPUTER & STORAGE TRENDS

9. 6 TeraFLOPS in A12
Faster than desktop
released 6 month ago
iMac Core i7 = 18914
(all cores)
2.3 GHz 18-Core Xeon
core is only
4-5 times faster

10. STORAGE TRENDS

11. Datacenter
Network
Device
Display
Storage
Compute
Display
Display
2G
Storage
Compute
Display
Storage
Compute
Display
5G
Storage - shared
Storage
Compute
Display
Storage - shared
Switched
Compute - Apps
Display
3G
LTE
Storage
Compute
The smart
phone
Storage
Compute - Apps
Display
Storage
Compute
The personal
computer
Shared
‘70s ‘80s ‘10s‘90s+ ‘00s ‘20s+

12. AI AND
MACHINE
LEARNING
Machine Learning
Deep Learning

13. 13
AI is old.. AI is new (1950s.. Now computing power)
Today AI is very Narrow. It sees what we trained it
for.
AI is a very powerful tool to recognize things.
A new way to proceed to information retrieval
• Can scale review of small sample to large scale data
• Can also accelerate repetitive process
THE RISE OF AI

14. HOME COURT

15. HUMAN AND INFORMATION

16. RISE OF
LITERACY

17. THE RISE OF
INFORMATION WORKER
McKinsey estimate in
2012 there are 230
million knowledge
workers in the world –
automation of that
work is $6-7B industry
Knowledge workers
spend 38% of their
time searching for
information

18. era
EVOLUTION THE WRITTEN CONVERSATION

19. 2moro - Tomorrow
2nite - Tonight
BRB - Be Right Back
BTW - By The Way -or- Bring The Wheelchair
B4N - Bye For Now
BCNU - Be Seeing You
BFF - Best Friends Forever -or- Best Friend's Funeral
CYA - Cover Your Ass -or- See Ya
DBEYR - Don't Believe Everything You Read
DILLIGAS - Do I Look Like I Give A Sh**
FUD - Fear, Uncertainty, and Disinformation
FWIW - For What It's Worth -or- Forgot Where I Was
GR8 - Great
ILY - I Love You
IMHO - In My Humble Opinion
IRL - In Real Life
ISO - In Search Of
J/K - Just Kidding
LMAO - Laughing My Ass Off
LOL - Laughing Out Loud -or- Lots Of Love -or- Living On
Lipitor
LYLAS - Love You Like A Sister
MHOTY - My Hat's Off To You
NIMBY - Not In My Back Yard
NP - No Problem -or- Nosy Parents
NUB - New person to a site or game
OIC - Oh, I See
OMG - Oh My God
OT - Off Topic
POV - Point Of View
RBTL - Read Between The Lines
ROTFLMAO - Rolling On The Floor Laughing My Ass Off
RT - Real Time -or- ReTweet
THX or TX or THKS - Thanks
SH - Sh** Happens
SITD - Still In The Dark
SOL - Sh** Out of Luck -or- Sooner Or Later
STBY - Sucks To Be You
SWAK - Sealed (or Sent) With A Kiss
TFH - Thread From Hell
RTM or RTFM - Read The Manual -or- Read The F***ing
Manual
TLC - Tender Loving Care
TMI - Too Much Information
TTYL - Talk To You Later -or- Type To You Later
TYVM - Thank You Very Much
VBG - Very Big Grin
WEG - Wicked Evil Grin
WTF - What The F***
WYWH - Wish You Were Here
XOXO - Hugs and Kisses
A NEW LANGUAGE HAS EMERGED

21. TOTAL NUMBER
OF CALLS
DROPPED BY
1.7% IN THE UK
LAST YEAR FOR
THE FIRST TIME

22. Google voice search up 35x in the last 10 years!
IMPACT ON THE WRITTEN CONVERSATION

23. 23
INFONOMICS
Douglas B. Laney, Gartner

24. COLLECTING THE KNOW-HOW IN THE ENTERPRISE

25. REDUCE THE COST
OF INFORMATION
RETRIEVAL
You need an input of
energy to organize
information
• Human energy and effort
• Compute energy to build
structure
A Cost Model for Evaluating the Information Retrieval Systems,
Michael D” Cooper, 1972

26. THE GOOD & THE BAD

27. 1. PRIVATE DATA COLLECTION
Facebook 1.79 B users
• Shadow profiles for all others
• Photo decomposition and detection – Since 2016 object
detection, scene detection
• Financial profile from 3rd party vendors
• Your internet browsing history
• When you started relationship, how long it lasted, what was
in common
• 29 000 categories for ad targeting

28. 28
THE CONCERNS
FOR
CONFIDENTIALITY
LAW
GDPR rules
California rules
USER
New Application: Signal
Corporate Positioning: Apple,
Facebook, Google
• Apple in front of Congress
• Chrome 69

29. Can we make
confidentiality built in
Can we create a world
where personal
information is not
monetized
INFORMATION RETRIEVAL VS. CONFIDENTIALITY

30. 2. PEAK
COMPLEXITY

31. PEAK
COMPLEXITY

32. 32
Information Overload

33. TAXI - DISRUPT COMPLEXITY
• Regulated industry
• Quota on # of taxi
• Permits maybe resold
• Prices are set
• Exception for special location
• Drivers must have special license
• Exams required
• Cars require inspection
• Maximize “permit owner” profit
• Minimize customer service quality

34. TECHNOLOGY FOR THE GOOD
Decisions in an abstract sense are
neither truly good or truly bad – however
these decisions certainly lead to truly
good or truly bad consequences.
- MARK TWAIN
“
”

35. WHAT’S NEXT?

36. Mobile
Devices do
the
processing -
store data in
the cloud.
Enable
seamless
conversatio
n – Don’t
force users
to adapt
Rebuild
complex
Systems from
the ground up
Allow people
to store their
conversations
Use AI to
reduce
informati
on
overload
Reach to
all
Humans

37. Thank You.