TAP Accelerates Artificial Intelligence

Federal Cloud Computing Strategy Officially Launched

By G C Network | February 14, 2011

Federal CIO Vivek Kundra officially launched the Federal Cloud Computing Strategy today. While this is clearly not new news, the document does state the government’s position in a very succint manner.…

GEOINT’s Future is in the Cloud

By G C Network | January 31, 2011

Recently, Geospatial Intelligence Forum Magazine asked me for my thoughts on the role of cloud computing in the future of geospatial intelligence.My response was recently published in their December 2010…

eTechSuccess: Patterns of Success – Kevin Jackson

By G C Network | January 27, 2011

 My sincere appreciation to John Baker for the eTechSuccess: Patterns of Success interview. John and I worked together IBM as part of the Wireless Emerging Business Organization. His team and…

USBE&IT Winter Issue Focuses on Cyber Security

By G C Network | January 19, 2011

Thank You USBE&IT Publisher Mr Tyrone Taborn for such an inspiring issue and my sincere appreciation to Mr. Frank McCoy for my inclusion in his list of Cyber visionaries! The Homeland…

Global GovCloud with Cisco and VCE

By G C Network | January 18, 2011

Last week I had the awesome experience of participating in a global telepresence conference on government cloud computing. Joining me as presenters were Blake Salle, Senior Vice President of VCE,…

NIST Cloud Computing Collaboration Twiki Launches

By G C Network | December 30, 2010

Today I received my credentials for the NIST Cloud Computing Collaboration Site. “The National Institute of Standards and Technology (NIST) has been designated by Federal Chief Information Officer Vivek Kundra…

GovCloud Predicitons for 2011

By G C Network | December 30, 2010

Happy New Year All!! 2011 will be the breakout year for GovCloud! Pressure to reduce budget, pressure to manage I resources better and the political pressure of the next presidential…

Vivek Kundra Unveils 25-Point IT Management Reform Program

By G C Network | December 10, 2010

Yesterday the US Federal CIO, Vivek Kundra, unveiled an ambitious 25-point implementation plan for delivering more value to the American taxpayer. This plan focuses on execution and is designedto establish…

GSA and Unisys/Google Marks GovCloud Watershed

By G C Network | December 4, 2010

As widely reported this week, the United States General Services Administration (GSA) has awarded a contract to Unisys to create a secure cloud-based email and collaboration platform. The solution will…

NIST Moves Forward on Cloud Computing

By G C Network | November 8, 2010

Last week the National Institute of Standards and Technology (NIST) held their second Cloud Computing Forum and Workshop. Skillfully shepherded by Ms. Dawn Leaf, the agency’s senior executive of cloud computing,…

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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