TAP Accelerates Artificial Intelligence

CloudCamp Federal @ FOSE

By G C Network | February 9, 2009

Sign up now CloudCamp Federal @ FOSE, March 10,2009, 3pm – 8:30pm at the Walter E. Washington Convention Center, 801 Mount Vernon Place NW , Washington, DC. As a follow-up…

Thank You NVTC “Cool Tech” and TechBISNOW !!

By G C Network | February 6, 2009

Thank you to Dede Haas, Chris D’Errico and the Northern Virginia Technology Council for the opportunity to speak at yesterday’s NVTC “Cool Tech” Committee meeting! The Agilex facilities were awesome…

A Significant Event in Cloud Interoperability

By G C Network | February 6, 2009

On Jan 20th, GoGrid released it’s API specification under a Creative Commons license. “The Creative Commons Attribution Share Alike 3.0 license, under which the GoGrid cloudcenter API now falls, allows…

Booz|Allen|Hamilton & Dataline Sponsor 2nd Government Cloud Computing Survey

By G C Network | February 4, 2009

Dataline, Booz|Allen|Hamilton and the Government Cloud Computing Community have teamed together to sponsor the 2nd Government Cloud Computing Survey. Cloud Computing has come a long way since the first survey six months…

Gartner Lays Out 7-year Plan for Cloud Computing

By G C Network | February 3, 2009

According to Gartner’s new report, cloud computing will go through three phases over seven years before it will mature as an industry; – Phase 1: 2007 to 2011 — Pioneers…

Cloud Interoperability Magazine Launches

By G C Network | February 3, 2009

My congratulations goes out today to Reuven Cohen on the launch of Cloud Interoperability Magazine. The site will focus on Cloud Computing, standardization efforts, emerging technologies, and infrastructure API’s. As the new…

Why Can’t We Eliminate the “Technology Refresh” RFP?

By G C Network | February 2, 2009

In order to maintain life cycle and technology, the Navy is upgrading server farms at fifteen (15) sites and any future sites throughout the Far East, Europe and Middle East…

Cloud & the Government Session at Cloud Computing Expo

By G C Network | January 29, 2009

Earlier this week I announced that I will be presenting at SYS-CON’s 2nd International Cloud Computing Conference & Expo in New York City this coming March 30-April 1, 2009. During…

CSC and Terremark target US Government with Cloud Computing

By G C Network | January 27, 2009

Today’s announcement by CSC reinforced the strong wave of cloud computing towards the Federal space. Ranked by Washington Technology Magazine as 9th largest (by contract dollar value) government contractor, this…

Should my agency consider using cloud computing?

By G C Network | January 26, 2009

This is clearly the question on the minds and lips of every government IT decsionmaker in town. Why should a government agency even consider cloud computing?  In reality, the decision…

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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