ai for a smaller smarter military sdadtc december 17 2013
TRANSCRIPT
AI for a Smaller Smarter Military
“More vs Less”
www.ai-one.com
Tom Marsh, COO
SDADTC Workshop
December 17, 2013
The New Battlefield:
Digital vs Analog, Complicated vs Complex
Physical
Devices
Software
Programs
Machines
Humans
Adaptive
Intelligent
Creativevs
Fast vs Slow: Change is Accelerating
Data Grows Logarithmically Humans Capacity to Learn Is Nearly Linear
Capacity of Technology(e.g. Moore’s Law)
Human Learning Curve*
Gap of Opps &
Risks
Time
Technology enables intent.
Gap can be exploited for good or evil.
* Professor Tom Mitchell, Carnegie Mellon University
“Autonomous software that achieve
goals by learning, adapting and
reacting to the environment.”
They are rational.
They learn without supervision or
programming.
Opportunity: Build intelligent agents to enable humans
to bridge the gap between humans and machines.
Biologically Inspired Intelligence
ai = Autonomic Intelligence
API = Application Programming Interface
Brains for building agents
US YOU
Built and Deployed by You
Continuously learning from the
environment, actions and results
As fast and flexible as the new enemy
Agents to Solve Problems
2. Agent detects every use of every
word...
Intelligent Agents Detect Ideas with
Fingerprints
1. Humans combine words to
form ideas...
3. Agent creates fingerprint that
represents every idea in
document: How each word
connects to every other.
DocumentAutonomous
Agent
Fingerprint of
Document
Insider Threat Detection
Threat Detection: Find Bad Ideas in Dark Data
BEFORE they cause harm.
“Email contains classified
info?”
“Yes! ~ 75/100” “Yes! ~ 60/100 similar”
SimilarSimilar
∋
∋“Email indicates threat
behavior?”
Analyst Toolbox – Off the Shelf (COTS) Agents
BrainDocs - uses personal intelligent agents for finding and organizing content by concept “idea”
BrainBrowser – enables users to analyze a document and “find something like this”
BrainView – create big brains from content or social media (sources: documents, user comments and review notes) to explore patterns and sentiment visually
Available via cloud subscription for individual use and testing (beta January 2014)
ai-one | Who are we?
Mission: Embed intelligence in every computing device.
Business model: Technology licensing, consulting and development
Quick Facts
• Founded 2003 as R&D company to commercialize discovery in neural -
biologically inspired computing
• US parent C-Corporation established 2009
• Raised $7.5 million ~170+ shareholders
• Offices in Berlin, Zurich, La Jolla (San Diego, CA)
• 9 staff on core technology team; 34 staff in joint ventures
• Customers and partners in 14 countries around the world.
Product and Use Cases
Technology: ai-one HSDS
• Nathan API for language,
cloud or on-premise
• 200kb core with empty
brain for embedded apps
Analyst Toolbox Platform (new)
• OEM text analytics
solutions
• Cloud solution for power
users
Use Cases
•Intel Analyst productivity, media
monitoring
•Concept search for compliance and
eDiscovery
•Insider Threat Detection
•Strategic planning support to mission
plans with web monitoring
Classification of survey data with
Tableau interface
ai-one’s Nathan API – One technology for all your Data
Management decision
making has been poorly
served by technology.
CIOs and business
intelligence strategists
need to plan for their
adoption to stay ahead of
the competition.ai-one
"Big data" initiatives
create significant
opportunities for business
and IT leaders, but both
must come to terms with
the challenges they
introduce.
Thank you.Tom Marsh, COO
ai-one inc. 5666 #104 La Jolla Blvd.
La Jolla, CA 92037
Ph: +18585310674
Follow us on Twitter @ai_one
Website www.ai-one.com
www.analyst-toolbox.com
GSA customers:
Contact Steve Dufour, COO ISC