TAP Accelerates Artificial Intelligence

“Cloud Musings” Named A “Top 50 Blog”

By G C Network | August 27, 2010

My appreciation and thanks goes out to Jeremy Geelan for including “Cloud Musings” on his list of the Top 50 Cloud Computing Blogs. Thanks is also in order for “HighTechDad”…

Will Oracle Buy Informatica?

By G C Network | August 25, 2010

According to 1,250 ERP Software Advice readers that will be Oracle’s next acquisition. Terradata came in a close second in this race, suggesting that Oracle will “…play it safe next time…

What’s Next For Oracle?

By G C Network | August 14, 2010

Watching Larry Ellison and Oracle over the years as it has morphed itself is a real study in market dynamics.  It’s transformation from database company through middleware provider to now…

Enterprise Architecture Enables Innovation: Melvin Greer, Lockheed Martin

By G C Network | August 11, 2010

Earlier this week, my good fried and NCOIC colleage, Melvin Greer was interviewed by Rutrell Yasin of Government Computer News. In the interview, Mel focused on the importantance of entrprise…

Are You A Cloud Architect? NJVC Needs YOU!!

By G C Network | July 31, 2010

If you are a cloud computing architect, have I got news for you!  NJVC, one of the largest IT solutions providers supporting the U.S. Department of Defense (DoD), is building…

“Army Private Cloud” RFP Released

By G C Network | July 28, 2010

Last week the US Army released  a procurement solicitation for the Army Private Cloud.  This $249M solicitation calls for a 1-year base period with four, 1-year options. Department of the…

Cloud Musings Direct Launches

By G C Network | July 15, 2010

In response to request, the inaugural “Cloud Musings Direct” newsletter was launched this week.  This bi-weekly electronic newsletter will highlight important government cloud computing industry trends and events.  If you…

CloudExpo Europe 2010: Not Your Father’s Prague

By G C Network | June 30, 2010

When my good friend Jeremy Geelan invited me to speak at CloudExpo Europe in Prague, Czech Republic my imagination went into overdrive.  Being a child of the 60’s and a…

NCOIC Plenary Highlights Collaboration and Interoperability

By G C Network | June 29, 2010

Last week in Brussels, Belgium, the Network Centric Operations Industry Consortium highlighted it’s support of collaboration and interoperability through an information exchange session with the National Geospatial-Intelligence Agency (NGA) and…

GovLoop “Member of the Week”

By G C Network | June 22, 2010

Thank you to Radiah Givens-Nunez and GovLoop for the honor of being their Member of the Week for June 21-25, 2010. Created in 2008, GovLoop is an online social network…

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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