TAP Accelerates Artificial Intelligence

DISA Chief Technologist States Plan for Cloud

By G C Network | September 23, 2008

In an interview reported on in this month’s Military Information Technology magazine, David Mihelcic, DISA Chief Technology Officer, has laid out his goal for the agency’s cloud computing initiative. As…

Google, GeoEye, Twitter. What a Combination!

By G C Network | September 23, 2008

On September 9th, Bob Lozano posted his kudos to GeoEye for a successful launch of GeoEye-1. (Hey Bob! Where’s that post on your “cloud failure” last week?) According to their…

RightScale goes Transcloud

By G C Network | September 22, 2008

Over the weekend, Maureen O’Gara of SYS-CON media reported that RightScale is now offering a “first in industry” capability to provide application management across multiple cloud infrastructures. It now offers…

A Bill to Outlaw Cloud Computing…..

By G C Network | September 19, 2008

… is what we may see if we don’t educate our lawmakers now! That seemed to be one of the main point at last week’s Google workshop in DC. Berin…

NCOIC and Cloud Computing

By G C Network | September 18, 2008

Yesterday the Network Centric Operations Industry Consortium (NCOIC) had a very good session on cloud computing during their plenary session in Falls Church, VA. Led by NCOIC’s Bob Marcus, speakers…

Military Information Technology Cloud Computing Collaboration

By G C Network | September 17, 2008

Today, we’re happy to announce what we believe to be an industry first. “Military Information Technology Magazine“, as the publication of record for the defense information technology community, is collaborating…

Is 99.999% reliability good enough?

By G C Network | September 16, 2008

According to Reuven Cohen in his recent post, Cloud Failure: The Myth of Nines , the whole concept of reliability may be meaningless. “In the case of a physical failure…

You Probably Use Cloud Computing Already.

By G C Network | September 15, 2008

56% of internet users use webmail services such as Hotmail, Gmail, or Yahoo! Mail. 34% store personal photos online. 29% use online applications such as Google Documents or Adobe Photoshop…

20 Real-Life Challenges of Cloud Computing

By G C Network | September 12, 2008

Nikita Ivanov of GridGain offers some excellent insight into the nuts and bolts of getting the cloud to work. Definitely worth a read. To summarize: Most likely you do NOT…

3Tera Announces Global Cloud Services

By G C Network | September 11, 2008

Last week, 3Tera has announced the availability of global cloud services, based on their AppLogic grid operating system. 3Tera is currently running data centers in seven countries (United States, Japan,…

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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