Fairshare Model virtual fintech summit presentation may 2016
FinTech Presentation 16JULY12
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Transcript of FinTech Presentation 16JULY12
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Automated Understanding for Big Data
© Ryo Shimizu "CNJPUS TEXT"
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Digital Reasoning A Unique Combination of Experience and Innovation
Management Team: Tim Estes, Founder & CEO Rob Metcalf, President & COO Mike Miller, EVP Sales Harry Schultz, SVP Solutions Dave Danielson, VP Marketing Matthew Russell, VP Engineering Eric von Eckartsberg, VP Sales Bill DiPietro, VP Product Management Founded in 2000
Products: Synthesys®
SynthesysCloud™ Locations: Franklin, TN Arlington, VA Website: www.digitalreasoning.com
Software company with over a decade of experience in the intelligence community
Supported by In-Q-Tel and investors from Silver Lake
Synthesys platform uniquely powers applications on unstructured (and structured) data
FinTech innovation lab validated pressing need for unstructured data solutions in large financial institutions
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We know there is too much data and most is unstructured but meaning is elusive and must be understood in context
TODAY
2010 2012 2011 2015 2014 2013
Unstructured +61.7%
Structured +21.8%
Growth in Enterprise Data
Unstructured data is human-generated, pervasive, fluid, and imprecise New languages and domains require rapid adaptation
Human Attention
Source: IDC
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2010 2012 2011 2015 2014 2013
Failure to do so leads to an “understanding gap” with significant consequences too risky to ignore
Human Attention
Understanding Gap
Missed “dots” leading to lost lives
Key IP and company data going out the door
Customer opinions about you and your products
Embarrassing emails that damage brand and reputation
Significant consequences
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Consider just One valuable application – Email …how much are you at risk?
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1-3 Million per day
50-150 TB per year
Millions of recipients
Typical Email Data in a Financial Institution
Email can have a high cost…
How much is it worth to understand?
(source: Peter Apps, Reuters, July 11, 2012)
Barclays … LIBOR $450M penalty
US Officials Confidential Contacts
Wikileaks
News of the World Phone Hacking
Company is gone
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Synthesys compared to current alternatives Save time, eliminate reading, reduce cost, accelerate time to insights
Documents
Social Media
Research News
Search Entity Extraction Doc Clustering
Current Approaches
Humans must read to get facts
Synthesys
>100 hours to get to the facts
Minutes to get to the facts
Q: When and who first discussed the transaction in email?
1000 Docs 100 Hours
KB
KB
Humans read to validate not to get facts
Minutes
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Today’s Solution vs. Synthesys: Search, Rank, Read vs. Read, Resolve, Reason
From Documents to Facts about Entities
See patterns instantly based on what’s inside
the content of your email
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Synthesys
Synthesys® solves this problem making sense of big data by analyzing entities - in context
Synthesys converts unstructured data into an application-usable graph of enterprise knowledge
READ RESOLVE REASON
Deep processing of unstructured
data
Assemble, organize, and relate
information
Uncover relationships, compare and
correlate
APPLICATION-READY ANALYTICS
Appl Integration
Events/Alarms
Social Network Analysis
Analytic Primitives
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Where does this fit with the current Big Data market?
Established Emerging
Custom Services IBM, Accenture, many others
Cloudera, Horton Works, Palantir
Visual Analytics & Vertical Applications
IBM, SAS, many others… Palantir, Tableau, Centrifuge, Recorded Future, Opera Solutions
Content Analytics and Horizontal Applications
HP (Autonomy), Microsoft (Fast), Oracle (Endeca), IBM, OpenCalais
Digital Reasoning
Database & Infrastructure
Oracle, IBM Hadoop Community, NoSQL DBs
Read Resolve
Reason
Targeting Social Media
Analysis Fraud and Compliance
E-mail Analyzer
HDFS
Unstructured
MapReduce
Hbase
PIG
Ubuntu
Cassandra
Structured
Social Media Web Content
E-Mail Synthesys enables applications to use
unstructured data as if it were structured
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"e impact is profound and will cut across many markets
“Companies with the ability to mine the data are becoming the most powerful. ”
- Washington Post (June 6, 2012)
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Summary
• Unstructured data has exceeded our capacity to read and understand it • Software that automates understanding in context is the breakthrough • !is will revolutionize Applications and Businesses Processes
• Synthesys solves this problem for unstructured data • Application-ready platform for analytics • Integrated with leading scale technologies • Adaptable – Precise – Continuous
Synthesys® !e First Platform to empower applications with insights from Unstructured Data
Synthesys