TAP Accelerates Artificial Intelligence

NCOIC Discusses e-Discovery and Cloud Computing

By G C Network | March 22, 2010

Last week during its weekly meeting, the NCOIC Cloud Computing Working Group (CCWG) examined some of the legal aspects surrounding electronically stored information. With government use of cloud computing expected…

Take the survey, get a book!

By G C Network | March 20, 2010

“Cloud Musings”, in cooperation with Aditya Yadav & Associates, is conducting a new cloud computing survey. This short, eight (8) question poll, is designed to gauge general corporate plans around…

Army Knowledge Leaders Study Cloud Computing

By G C Network | March 12, 2010

This week it was my pleasure to explore cloud computing with Army Knowledge Leaders (AKL) ! AKL is an intensive 2 year experience of training and work rotations designed to develop leadership,…

Northrop Grumman & Lockheed Martin Selected for CANES

By G C Network | March 9, 2010

   Last week the US Navy awarded initial CANES contracts to Northrop Grumman and Lockheed Martin. Navy officials place the contract values at $775M for Northrop and $937M for Lockheed.…

NCOIC Analyses Cloud Computing With SCOPE

By G C Network | February 24, 2010

Last week, the Network Centric Operations Consortium (NCOIC) Cloud Computing Working Group (CCWG) started it’s work on cloud interoperability in earnest. The first step in their process is the completion…

TASER Awarded: The NGA ASP/ISP Transition Contract

By G C Network | February 17, 2010

The National Geospatial-Intelligence Agency (NGA) has awarded the Total Application Services for Enterprise Requirements (TASER) contract to: Accenture National Security Services, LLC BAE Systems Information Technology, Inc. The Boeing Company-Autometric,…

EuroCloud Expands Quickly

By G C Network | February 16, 2010

Last October I introduced EuroCloud as a pan-European business network with the goal of promoting European use of cloud computing.  In the intervening three months, the organization has grown to…

Joining NJVC: A Professional Plateau

By G C Network | February 8, 2010

This week I begin a new and exciting phase of my professional career by joining the NJVC Enterprise Management Team! For those unfamiliar, NJVC is one of the largest information…

DoD Deputy CIO on Secure Information Sharing

By G C Network | February 3, 2010

Today on Federal Executive Forum, Dave Wennergren, Deputy CIO, Office of the Secretary of Defense, shared his views on secure information sharing. Mr. David M. Wennergren serves as the Deputy…

Training Conference: Cloud Computing for DoD & Government

By G C Network | February 1, 2010

Please join me at the Cloud Computing for DoD & Government training conference, February 22-24, 2010 at the Hilton Old Town in Alexandria, VA. This unique conference agenda blends interactive…

Photo credit: Shutterstock

Over the past few years, the use of artificial intelligence has expanded more rapidly than many of us could have imagined. While this may invoke fear and dread in some, these relatively new technology applications are clearly delivering real value to our global society.  This value is generally seen in four distinct areas:
  • Efficiency – Delivering consistent and low-cost performance by characterizing routine activities with well-defined rules, procedures and criteria
  • Expertise – augment human sensing and decision makingwith advice and implementation support based on historical analysis
  • Effectiveness – improve the overall ability of workers and companies by improving coordination and communication across interconnected activities
  • Innovation – enhance human creativity and ideation by identifying alternatives and optimizing recommendations.

One of the key drivers in sustained growth of AI is the rapidly increasing availability of data. The broadening global use of the Internet and the connectivity the Internet affords have combined to deliver data in volumes that have never been experienced before. Applications to capitalize on this use and connectivity have also helped society grow from generating approximately 5 zettabytes of unstructured data in 2014 to a projected approximation of 40 zettabytes of unstructured data in 2020.


Impressive innovations in big data algorithms have also added fuel to the explosive growth of AI. The mostimportant of these algorithm categories include:
  • Crunchers. algorithms use small repetitive steps guided with simple rules to number crunch a complex problem.
  • Guides.These algorithms guide us on how to best navigate a policy, process, or workflow based on historic actions that were successful
  • Advisors.These algorithms advise us on our best options by providing us with predictions, rankings, and likelihood-of-success based on historic patterns
  • Predictors.These algorithms predict future human behaviors and events by using small repeatable decisions and judgments that interpret historic behaviors and events
  • Tacticians.These algorithms tactically anticipate short-term behaviors and react accordingly
  • Strategists. These algorithms strategically anticipate behaviors and plan accordingly
  • Lifters.These algorithms help us by automating our mundane and repetitive work freeing us to do what we’ve been hired to do
  • Partners.They have a large amount of subject matter expertise in our area allowing us to be more productive and more focused
  • Okays. They are useful for business planning, strategic change, and culture change.due to an ability to building the big picture through deep analysis and looking at things from all angles
  • Supervisors.These algorithms orchestrate human activity other AI algorithms to help in meeting strategic long-term objectives

One of the most powerful open source big data analytics tools is The TrustedAnalytics Platform. Optimized for performance and security, TAP is being used to accelerate the creation of advanced analytics and machine learning solutions. It simplifies solution development through the use of a collaborative, flexible integrated environment within which all tools, components and services are centrally accessible. Using TAP, many AI solution development barriers can be quickly overcome by removing limited accessibility to advanced algorithms and masking the complexity often cited as a hindrance to big data analytics projects. Some of the most impressive TAP based solutions include:

Learn more about how TAP is accelerating the adoption of artificial intelligence by visiting https://trustedanalytics.org/. While there you can actually test drive TAP!


This content is being syndicated through multiple channels. The opinions expressed are solely those of the author and do not represent the views of GovCloud Network, GovCloud Network Partners or any other corporation or organization.

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