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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
Machines
Software
Programs

Physical
Devices

Humans

vs

Adaptive
Intelligent
Creative
Fast vs Slow: Change is Accelerating
Data Grows Logarithmically

Humans Capacity to Learn Is Nearly Linear
Capacity of Technology
(e.g. Moore’s Law)

Gap of Opps &
Risks

Human Learning Curve*
Time

* Professor Tom Mitchell, Carnegie Mellon University

Technology enables intent.
Gap can be exploited for good or evil.
Opportunity: Build intelligent agents to enable humans
to bridge the gap between humans and machines.
“Autonomous software that achieve
goals by learning, adapting and
reacting to the environment.”

They are rational.
They learn without supervision or
programming.
US

YOU

Biologically Inspired Intelligence
ai = Autonomic Intelligence
API = Application Programming Interface

Built and Deployed by You
Continuously learning from the
environment, actions and results
As fast and flexible as the new enemy

Brains for building agents

Agents to Solve Problems
Intelligent Agents Detect Ideas with
Fingerprints
Document

Autonomous
Agent

1. Humans combine words to
form ideas...

2. Agent detects every use of every
word...

Fingerprint of
Document

3. Agent creates fingerprint that
represents every idea in
document: How each word
connects to every other.
Threat Detection: Find Bad Ideas in Dark Data
BEFORE they cause harm.
“Email contains classified
info?”

“Yes! ~ 75/100”

∋

Similar
“Yes! ~ 60/100 similar”

∋

Similar

“Email indicates threat
behavior?”

Insider Threat Detection
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)
BrainDocs– Concept Search, Paragraph &
Source Doc Viewer
BrainView – Discovery, sentiment and navigation
BrainBrowser– Concept (re)Search for the Web
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

ai-one

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.
"Big data" initiatives
create significant
opportunities for business
and IT leaders, but both
must come to terms with
the challenges they
introduce.
GSA customers:
Contact Steve Dufour, COO ISC
steve.dufour@ISC-CG.com

Tom Marsh, COO
ai-one inc.
5666 #104 La Jolla Blvd.
La Jolla, CA 92037
Ph: +18585310674
tm@ai-one.com

Thank you.
Follow us on Twitter @ai_one
Website www.ai-one.com
www.analyst-toolbox.com

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AI for a Smaller Smarter Military SDADTC December 17 2013

  • 1. AI for a Smaller Smarter Military “More vs Less” www.ai-one.com Tom Marsh, COO SDADTC Workshop December 17, 2013
  • 2. The New Battlefield: Digital vs Analog, Complicated vs Complex Machines Software Programs Physical Devices Humans vs Adaptive Intelligent Creative
  • 3. Fast vs Slow: Change is Accelerating Data Grows Logarithmically Humans Capacity to Learn Is Nearly Linear Capacity of Technology (e.g. Moore’s Law) Gap of Opps & Risks Human Learning Curve* Time * Professor Tom Mitchell, Carnegie Mellon University Technology enables intent. Gap can be exploited for good or evil.
  • 4. Opportunity: Build intelligent agents to enable humans to bridge the gap between humans and machines. “Autonomous software that achieve goals by learning, adapting and reacting to the environment.” They are rational. They learn without supervision or programming.
  • 5. US YOU Biologically Inspired Intelligence ai = Autonomic Intelligence API = Application Programming Interface Built and Deployed by You Continuously learning from the environment, actions and results As fast and flexible as the new enemy Brains for building agents Agents to Solve Problems
  • 6. Intelligent Agents Detect Ideas with Fingerprints Document Autonomous Agent 1. Humans combine words to form ideas... 2. Agent detects every use of every word... Fingerprint of Document 3. Agent creates fingerprint that represents every idea in document: How each word connects to every other.
  • 7. Threat Detection: Find Bad Ideas in Dark Data BEFORE they cause harm. “Email contains classified info?” “Yes! ~ 75/100” ∋ Similar “Yes! ~ 60/100 similar” ∋ Similar “Email indicates threat behavior?” Insider Threat Detection
  • 8. 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)
  • 9. BrainDocs– Concept Search, Paragraph & Source Doc Viewer
  • 10. BrainView – Discovery, sentiment and navigation
  • 12. 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.
  • 13. 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
  • 14. ai-one’s Nathan API – One technology for all your Data ai-one 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. "Big data" initiatives create significant opportunities for business and IT leaders, but both must come to terms with the challenges they introduce.
  • 15. GSA customers: Contact Steve Dufour, COO ISC steve.dufour@ISC-CG.com Tom Marsh, COO ai-one inc. 5666 #104 La Jolla Blvd. La Jolla, CA 92037 Ph: +18585310674 tm@ai-one.com Thank you. Follow us on Twitter @ai_one Website www.ai-one.com www.analyst-toolbox.com