digital reasoning at airsummit 2014
DESCRIPTION
Presentation & Demo at Franklin Templeton's AirSummit 2014TRANSCRIPT
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
04/08/2023 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 networkor
Emailing attachments to personal email accountor
Legal entity on watch list occurring in the context of “deal related” language
orNegative 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
WashingtonNew York
London
Investors:In-Q-Tel
Silver Lake (individuals) Partnership for NYC Invest. Fund
Team:70 employees
20 Masters or PhDs40+ 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
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Digital Reasoning
