AI for a Smaller Smarter Military SDADTC December 17 2013

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)

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

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

[email protected]

Follow us on Twitter @ai_one

Website www.ai-one.com

www.analyst-toolbox.com

GSA customers:

Contact Steve Dufour, COO ISC

[email protected]