TAP Accelerates Artificial Intelligence

Amazon’s Jeff Bezos on Cloud Computing

By G C Network | June 18, 2008

Amazon’s Jeff Bezos on Cloud Computing How and when Amazon began its cloud computing effort.Why Amazon has become an innovator with Amazon Web Services and how it relates to their…

Dataline, IBM, Google, Northrop Grumman on Cloud Computing

By G C Network | June 17, 2008

My company, Dataline LLC, in cooperation with IBM, Google and Northrop Grumman Mission Systems, is sponsoring an educational series entitled “Cloud Computing in a Netcentric Environment“. The series will be…

EMC Studies Cloud Computing Security

By G C Network | June 17, 2008

Storage firm EMC has joined the Daoli Trusted Infrastructure Project which conducts research into “trust and assurance” in cloud computing environments. The team’s research will focus on cloud computing, trusted…

The Cloud Computing Marketplace

By G C Network | June 17, 2008

For explaination and details see Understanding the Cloud Computing/SaaS/PaaS markets: a Map of the Players in the Industry by Peter Laird, Kent Dickson, and Steve Bobrowski from Oracle. Update: Please…

Key cloud computing concerns by CXO’s

By G C Network | June 16, 2008

Key cloud computing concerns by CXO’s attending the Enterprise 2.0 Conference in Boston were addresed in a June 9th panel of executives from Google, Amazon Web Services (AWS), and Salesforce.com.…

IBM Cloud Computing Center

By G C Network | June 13, 2008

On June 5th, IBM announced it will establish the first Cloud Computing Center for software companies in China, which will be situated at the new Wuxi Tai Hu New Town…

EUCALYPTUS – An Open Source Cloud Computing Platform

By G C Network | June 13, 2008

Elastic Utility Computing Architecture for Linking Your Programs To Useful Systems (EUCALYPTUS) is a new project that seems to be trying to put an “open source” flavor to cloud computing.…

The Honorable John G. Grimes Speaks about Cloud Computing

By G C Network | June 12, 2008

Today I had the pleasure of hearing The Honorable John G. Grimes, Assistant Secretary of Defense for Networks and Information Intergration and Department of Defense CIO, speak on some key…

Amazon leads Google into the cloud (So what else is new)

By G C Network | June 12, 2008

In this May 1, 2008 Globe and Mail Update article, Mathew Ingram provides an excellent comparison of Amazon and Google’s cloud computing initiatives. Bottom line: Amazon leads the pack with…

Web 2.0 Expo – What is Cloud Computing?

By G C Network | June 11, 2008

For some interesting views, take a look at these video interviews on what is cloud computing. These were done during the recent Web 2.0 Expo, April 22-25 in San Francisco,…

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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