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I learn, therefore !
I can generate α 

(legally)!
“Even the best-resourced analysts lack the tools to
correlate the data points he/she does gather to
identify meaningful patterns for either an individual
company or an entire sector.  With shorter-term
investing horizons and high-frequency trading
dominating volume, how relevant are these data
points anyway?”



- Gabriel Lowy, Tech-tonics.org!
4/11/14! 2!
How Long Before Equity Analysts
Become Data Scientists? !
Human language is a rich data
source that enables data scientists
to study people’s past behavior and
predict future behavior. !
!
But it’s messy, ambiguous !
and very noisy !!
Big (Data) Problem:!
Reducing Noise. Increasing Signal
Quality and Timing.!
the path of the
enterprise!
next ?!
Cloud!
Algorithms!
Mobile!
Big Data!
Social!
Dion Hinchcliffe. Dachis Group.!
Next Disruption: 

Cognitive Computing?!
Learning Algorithms!
•  Machine learning !
–  Predictions!
–  Clustering!
•  Statistical models
working at scale!
–  Counting!
–  Comparing!
–  Ranking!
–  Filtering!
Human Analysis!
Alerts!
Behavior Patterns!
Knowledge!
Raw Data!
Profiles!
Experimenting with multiple Key Risk Indicators
(KRIs) as Behavior Patterns of Interest!
Emailing to external network!
or!
Emailing attachments to personal email account!
or!
Legal entity on watch list occurring in the context of “deal
related” language!
or!
Negative sentiment in the context of “revenue recognition”
language!
*KRI = Email sent to self
*KRI = internal to external communication
*KRI = Deal language in context of legal entity
*KRI = Deal language in context of legal entity
*KRI = Rev rec language + Negative sentiment
Outcome: 

Flagging Email Because of High KRI Score !
Digital Reasoning’s Machine
Learning Platform!
Locations:
Nashville
Washington
New York
London
Investors:
In-Q-Tel
Silver Lake (individuals)
Partnership for NYC Invest. Fund
Team:
70 employees
20 Masters or PhDs
40+ TS clearances
5 patents
•  Early success within the US Intelligence
Community and now rapidly expanding into
financial services and healthcare!
•  Synthesys is a machine-learning platform that
understands human communication!
!
•  Synthesys amplifies human analysis by
automatically aggregating knowledge from large
data sets across multiple languages and sources
into a private knowledge graph!
•  Knowledge can be accessed via an API, Tools or
discovered via our Web applications as well as 3rd
party solutions in Search, BI, Case Management !
!
•  Synthesys Cloud is available via AWS Marketplace,
running on Amazon EC2!
1
1!
Digital Reasoning!
* *
PHONE (615) 370-1860!
EMAIL marten@digitalreasoning.com!
WEB digitalreasoning.com!
    

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Using cognitive computing to better analyze human communication

  • 1. I learn, therefore ! I can generate α 
 (legally)!
  • 2. “Even the best-resourced analysts lack the tools to correlate the data points he/she does gather to identify meaningful patterns for either an individual company or an entire sector.  With shorter-term investing horizons and high-frequency trading dominating volume, how relevant are these data points anyway?”
 
 - Gabriel Lowy, Tech-tonics.org! 4/11/14! 2! How Long Before Equity Analysts Become Data Scientists? !
  • 3. Human language is a rich data source that enables data scientists to study people’s past behavior and predict future behavior. ! ! But it’s messy, ambiguous ! and very noisy !!
  • 4. Big (Data) Problem:! Reducing Noise. Increasing Signal Quality and Timing.!
  • 5. the path of the enterprise! next ?! Cloud! Algorithms! Mobile! Big Data! Social! Dion Hinchcliffe. Dachis Group.! Next Disruption: 
 Cognitive Computing?!
  • 6. Learning Algorithms! •  Machine learning ! –  Predictions! –  Clustering! •  Statistical models working at scale! –  Counting! –  Comparing! –  Ranking! –  Filtering! Human Analysis! Alerts! Behavior Patterns! Knowledge! Raw Data! Profiles!
  • 7. Experimenting with multiple Key Risk Indicators (KRIs) as Behavior Patterns of Interest! Emailing to external network! or! Emailing attachments to personal email account! or! Legal entity on watch list occurring in the context of “deal related” language! or! Negative sentiment in the context of “revenue recognition” language!
  • 8. *KRI = Email sent to self *KRI = internal to external communication *KRI = Deal language in context of legal entity *KRI = Deal language in context of legal entity *KRI = Rev rec language + Negative sentiment Outcome: 
 Flagging Email Because of High KRI Score !
  • 9.
  • 11. Locations: Nashville Washington New York London Investors: In-Q-Tel Silver Lake (individuals) Partnership for NYC Invest. Fund Team: 70 employees 20 Masters or PhDs 40+ TS clearances 5 patents •  Early success within the US Intelligence Community and now rapidly expanding into financial services and healthcare! •  Synthesys is a machine-learning platform that understands human communication! ! •  Synthesys amplifies human analysis by automatically aggregating knowledge from large data sets across multiple languages and sources into a private knowledge graph! •  Knowledge can be accessed via an API, Tools or discovered via our Web applications as well as 3rd party solutions in Search, BI, Case Management ! ! •  Synthesys Cloud is available via AWS Marketplace, running on Amazon EC2! 1 1! Digital Reasoning!
  • 12. * * PHONE (615) 370-1860! EMAIL marten@digitalreasoning.com! WEB digitalreasoning.com!