TAP Accelerates Artificial Intelligence

Why the Cloud? Processing, Exploitation and Dissemination

By G C Network | October 23, 2008

So why is the intelligence community so interested in cloud computing? Three letters: PED (Processing, Exploitation, Dissemination). Take these two real life examples from the publishing industry. Jim Staten of…

World Summit of Cloud Computing: “Enterprise Cloud Computing” work group

By G C Network | October 22, 2008

To leverage attendees of the World Summit of Cloud Computing, a kick-off meeting of the “Enterprise Cloud Computing” work group will be held near Tel Aviv, Israel on December 3,…

Cloud Package Management

By G C Network | October 21, 2008

In his post “Missing in the Cloud: package management“, Dave Rosenberg highlights a critical issue in the adoption of cloud computing by government agencies. “I dare say that a standard…

PlugIntoTheCloud.com

By G C Network | October 20, 2008

Information Week has just launched PlugIntoTheCloud.com as their cloud computing destination. In his Non Linear Thinking blog, Bill Martin calls it a movement aimed at “providing a source and forum…

Is the cloud computing hype bad?

By G C Network | October 17, 2008

From Gartner “Why a little cloud hype might be useful“: “It’s too simplistic to say cloud hype is bad . If we are technically expert is might irritate us with…

Stop the FUD (Fear, Uncertainty and Doubt) !!

By G C Network | October 16, 2008

Dan Morrill! Count me in !! In his excellent article, “Cloud Computing is Scary – But the FUD Has to Stop“,  Dan makes some excellent points: It is time to…

IBM, Microsoft and Google

By G C Network | October 15, 2008

On October 6th, IBM launched their cloud services initiative. This is a:  “[C]ompany-wide initiative that extends its traditional software delivery model toward a mix of on-premise and cloud computing applications…

Government in the Cloud

By G C Network | October 13, 2008

Back in mid-September, there was quite a thread in the Google Cloud Computing Group on the use of cloud computing by the federal government.  Some of the interesting comments were:…

CloudCamp Partners With SOA-R !!

By G C Network | October 10, 2008

I’m proud to announce that the final SOA-R Cloud Computing Education Event will be held in collaboration with CloudCamp. Now dubbed CloudCamp:Federal, the event will be held as an “unconference” to help…

Federal Cloud Computing Wiki

By G C Network | October 9, 2008

With the fast growing interest in cloud computing, the Federal Government community has established a Federal Cloud Computing Wiki. This wiki is managed by Dr. Brand Niemann, Senior Enterprise Architect…

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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