TAP Accelerates Artificial Intelligence

Stateless Computing

By G C Network | August 15, 2008

A few days ago I read a review of Merrill Lynch’s Jeffrey Birnbaum LinuxWorld keynote on stateless computing. “With stateless computing, users’ settings and data are automatically saved to the…

Cloud Services

By G C Network | August 14, 2008

38% of 456 business technology professionals in a Information Week survey indicated that they currently use or will consider using services from a cloud provider. This seems much betterthan the…

Amazon, Elastra and the New Enterprise Data Center

By G C Network | August 13, 2008

Last week Amazon made an investment into Elastra. Some see this as Amazon’s enterprise play. Others see it as move towards the viability of private clouds. I see it as…

Microsoft Midori

By G C Network | August 12, 2008

Last week word got out that Microsoft’s new research project codenamed Midori. According to Information Week “the Midori system is being called Microsoft’s first cloud-based OS, and it could one…

Dell Trademarking Cloud Computing

By G C Network | August 11, 2008

There has been quite a bit of chatter lately over Dell’s attempt to patent “cloud computing”. Last week, the US Patent and Trade Office put an end to those aspirations…

Rob Enderle Cautions on Cloud Computing

By G C Network | August 8, 2008

Words of caution from Rob Enderle in “The Real Truth and Technology and IT”: “The key to success in the cloud will be keeping solutions simple, plus understanding and mitigating…

3 Important Point for Federal Government Cloud Computing

By G C Network | August 7, 2008

Point 1: In May, Verizon and AT&T were awarded a DHS task order for just under $1B to provide telecommunications services to the department. Verizon won the lead provider’s spot…

A Cloud Methodology

By G C Network | August 7, 2008

Although this was published in June, I just saw it and felt it was to good not to repeat: A Methodology for Cloud Computing Architecture Peel off the applications individually,…

IBM Invests Nearly $400M on Cloud Computing Centers

By G C Network | August 6, 2008

In a press release last week, IBM says that it will spend $360 million to build its most sophisticated, state-of-the-art data center at its facility in Research Triangle Park (RTP),…

Cloud Computing and the NCOIC

By G C Network | August 5, 2008

According to their website, The Network Centric Operations Industry Consortium (NCOIC) has scheduled a session on cloud computing at their upcoming plenary session in September. In case you haven’t heard…

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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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