Finding not filing - PowerPoint PPT Presentation

1 / 50
About This Presentation
Title:

Finding not filing

Description:

Finding not filing – PowerPoint PPT presentation

Number of Views:20
Avg rating:3.0/5.0
Slides: 51
Provided by: PeterCo67
Category:
Tags: ayeaye | filing | finding

less

Transcript and Presenter's Notes

Title: Finding not filing


1
Finding - not filing! Peter Cochrane
Peter Cochrane
COCHRANE a s s o c i a t e s
2
We now live in a world of the infinite how
do you find and how do you choose?
We now live in a world of the infinitely
complex how do you solve problems make
decisions?
3
Google intends to scan every book ever
published, and to make them all searchable!
4
Every weekday, a truck pulls up to the Cecil H.
Green Library, on the campus of Stanford
University, and collects gt1000 books, which are
taken to an undisclosed location scanned, page
by page by Google. The company is also
retrieving books from libraries at several other
leading universities, including Harvard Oxford,
as well as the New York Public Library. At the
University of Michigan, Googles original partner
in Book Search, tens of thousands of books are
processed each week on custom-made scanning
equipment
5
(No Transcript)
6
(No Transcript)
7
No one knows anything anymore...
highly specialised
becoming specialised
all knowledge through technology
the fount of all knowledge
1800
1900
TODAY
2000
8
Our progress to date!
We are such linear thinkers We dont cope well
with multiple dimensions We confuse data and
information We store the useless and misplace the
useful We need knowledge but create a fog of
confusion Networked machines (AI AL) might
just save us!
9
We have come to the end(ish) of the road and
we aint going to get any smarter!
10
Viagra chips for the brainjust will not do the
job!
11
The solution A symbiotic relationship with our
machines? A new intelligence/s and/or life
form/s?
12
(No Transcript)
13
(No Transcript)
14
Some of us see the route to AI AL through the
direct imitation of mother nature her already
solved problems
15
Others want to completely redesign reconstruct
the human form...
16
And then there are the hybrid solutions
.combining man and machine
17
Why do we see see technology as a threat and
remain complacent about this stuff?
18
Bottom Up - Top Down
19
Is there an end in sight??
20
But exponential growth takes over
2006 Internet 1 Human Brain 2012 Internet
1,000 Human Brains 2018 Internet 1,000,000
Human Brains 2024 Internet 1,000,000,000 Human
Brains 2034 Internet 1,000,000,000,000, Human
Brains
So is it game over around 2030??
21
Our view of technology
  • My Grandfather Man will never fly
  • My Father Man will never walk on the
    moon
  • My Generation Computers will never
  • - win at chess
  • - be creative
  • - smarter than us
  • - become intelligent
  • - become self aware
  • - live, etc
  • My View These are all worthless irrelevant
    statements
  • mainly born of fear and ignorance

22
After 1.8Bn years we still cant adequately
describe, define, quantify or understand
Despite all our experiments, observations construc
ts and symbology, we cant have a meaningful
discussion on these topics there
is only opinion and belief!
  • Life
  • Intelligence
  • Complexity
  • Scaleability
  • Value

23
Drakes equation
developed by Frank Drake in 1961 to focus on
the factors defining the number of intelligent
civilizations in our galaxy.. N N fp
ne fl fi fc fL
N number of stars in the Milky Way fp
fraction of stars with planets ne number of
planets/star capable of sustaining life fl
fraction of planets in ne where life evolves fi
fraction of fl where intelligent life
evolves fc fraction of fi that communicate fL
fraction of planet's life during which
civilizations live
24
In the void of any definition or model let us
tread a similar path
25
Intelligent life form only 200 neurons!
A colony of single cells - intelligent?
26
Intelligence - general
Sensors
Memory
Processor
I ? S . P . M
Memory
Processing Power
Sensory System
27
Intelligence - specific
No memory systems??
Sensors
Processor
I ? S . P . k(1M)
Memory
Processing Power
Sensory System
28
Intelligence - specific
No memory systems??
No Processor systems??
Sensors
I ? S . K(1-P). k(1-M)
Sensory System
29
So why isnt my laptop intelligent?
How about - sensors? -
adaptability?
30
But we are rolling out intelligent sensors!
And our machines will see, hear, smell. detect
and communicate in a way and at a rate we cannot!
31
Life today!
Processing Carbon Silicon Memory
Carbon Silicon Comms Carbon lt
Silicon Sensors Carbon gtgt Silicon
32
Things need connectivity before they can become
smart
Wisdom
Knowledge
Information
Data
33
Gradually our machines are sensing more than us!
Communication with others
Experience
Experience??
Wisdom
Intelligence?
Intelligence
Knowledge
Processing
Processing
Information
Sensors
Senses
Data
34
What can we do with AI AL now?
35
An example need for corporate intelligence.
Corporate Amnesia
36
Perception Isolation Corporate Amnesia
Corporate Security Department
Marketing
Human Remains
Security
Prospect Database
Employee Database
Investigate Database
Employee Database
Investigations Database
Prospect Database
Unaware an employees phone number is same as
that in a closed fraud case!
Original Example byJeff Jonas, Chief Scientist,
IBM Entity Analytics
37
Perception Isolation Corporate Amnesia
Corporate Security Department
Marketing
Human Remains
Security
Prospect Database
Employee Database
Investigate Database
Employee Database
Investigations Database
Prospect Database
Marketing mailing offers to a person in jail for
stealing from the company!
Original Example byJeff Jonas, Chief Scientist,
IBM Entity Analytics
38
Perception Isolation Corporate Amnesia
Corporate Security Department
Marketing
Human Remains
Security
Prospect Database
Employee Database
Investigate Database
Employee Database
Investigations Database
Prospect Database
The same three marketing offers mailed to the
same person
Original Example byJeff Jonas, Chief Scientist,
IBM Entity Analytics
39
Perception isolation is the primary cause of
enterprise dumbness
Part Solution Persistent Context
Original Example byJeff Jonas, Chief Scientist,
IBM Entity Analytics
40
Perception isolation is the primary cause of
enterprise dumbness
Part Solution Persistent Context
Original Example byJeff Jonas, Chief Scientist,
IBM Entity Analytics
41
Limited observables and isolation
Full Identity
Observations
Event
Sensors
Roger P Smith 16 High Street 11/7/46 YK 27 89 30
Q 44 1394 620666
Employee Database
Mark Randy Smith DOB 06/07/74 123 Main
Street 713 731 5577
Job Application
Non-Observable
Roger Paul Smith 16 High Street YK 27 89 30
Q 44 1394 620666 11/7/46
Isolated Islands
Record AB- 966
Roger Smith 16 High St 11/07/46 0 1394 620666
Fraud Database
M. Randal Smith DOB 06/07/74 713 731 5577
Arrest
Fraud Database
Record BC-9971
Original Example byJeff Jonas, Chief Scientist,
IBM Entity Analytics
42
How to get around isolated islands??
Vector Space gt Space
Data spaced well apart and unrecognizable as the
same person
Data spaced close together unrecognizable as
likely to be identical
43
The anonymizer
Roger Paul Smith 16 High Street YK 27 89 30
Q 44 1394 620666 11/7/46
Name Rob Smith DOB 6/7/1972
Now there is no escape - somewhere in this
space there will be an n - point match - the
gotcha!

Roger
Paul
cd5dced41028cb7ea51d52a888089d73 00c9782a552a2d09b
1b85e0d0db52ef3 7f2b6e48ea7d042bbe85e46ef2107da4
Smith
YK
0d06b31faa7c44682d770706640465d2 B5e341a4b0cdf0e8
de7b6f957818d746 bd0ec72f2424729efa7baac9a636970a
620666
46
44
What have we just done?
A different kind of Intelligence?
Reasoning
Scoring
Decision
Geospatial correlation
45
New Think Data and Query Equality
Intelligent Systems
Traditional IT Humans
  • Queries find data ? ?
  • Data finds queries ? ?
  • Data finds data ? ?
  • Queries find queries! ? ?

Original Example byJeff Jonas, Chief Scientist,
IBM Entity Analytics
46
New Think Treat all Data as a Query
A query could be - A user with a
question Or, also could be data - An
account opening - A new watch list entry
- A background check - An address
change - A vendor application - A
customer inquiry
47
Key Principle
If you dont process every new piece of data
(perception) like a query then you will not
know if it matters until someone asks!
48
Think!
  • Without persistence you have no intelligence
  • Treat data queries equally for improved
    awareness
  • More intelligence is possible based on streaming
    perceptions

49
Final observation
  • All single parameter security and search engines
    will fail the best, most reliable useful
    results will be realized using a multiple,
    simultaneous, approach

50
A world of opportunity risk.
Thank you, cochrane.org.uk ca-global.org
COCHRANE a s s o c i a t e s
Write a Comment
User Comments (0)
About PowerShow.com