TAP Accelerates Artificial Intelligence

VMware lays out roadmap to the clouds.

By G C Network | June 10, 2008

Earlier this year, Diane Greene, VMware President and Co-Founder, described cloud computing as the final evolutionary step for virtualization. Reza Malekzadeh, Senior Director of Products and Marketing reinforced that view…

Mario Dal Canto at Virtualization Conference & Expo 2008 East

By G C Network | June 9, 2008

According to Mario Dal Canto, “Virtual Cloud Computing represents the next wave of virtualization and offers significant market opportunities by providing a new, simpler, and much more pervasive platform for…

Microsoft cloud fits and starts.

By G C Network | June 9, 2008

Microsoft’s dance with cloud comuting is very puzzling. Point 1: The June 5th Wall Street Journal article discusses the friction between Steve Ballmer and Bill Gagtes over NetDocs, described by…

Salesforce.com & Google

By G C Network | June 6, 2008

A short promotional video on Salesforce and the Google cloud. Follow me at https://Twitter.com/Kevin_Jackson

Gamers now have their own cloud.

By G C Network | June 5, 2008

Valve, a Bellevue, Washington based entertainment software and technology company, recently announced that they will use the cloud computing paradigm as their next major update. Called “Steam Cloud” the service…

Is IBM serious about cloud computing?

By G C Network | June 5, 2008

Last week in Eye on the Enterprise, Joe McKendrick, highlighted IBM VP Steve Mills’ apparently less than enthusiastic statement regarding cloud computing. In an April 30th interview with CNET’s Dan…

VMware and Cloud Computing

By G C Network | June 3, 2008

VMware President and Chief Executive Officer Diane Greene,in her keynote address at the JP Morgan Technology Conference in Boston, described cloud computing as the final evolutionary step for virtualization. In…

DISA Cloud Computing Plans

By G C Network | June 3, 2008

During last month’s Defense Information Systems Agency (DISA) Partnership Conference, cloud computing debuted as a “top priority” for senior leadership. Speakers described a future state when users would access computing…

The Cloud Computing Portal

By G C Network | May 30, 2008

The Cloud Computing Portal is a community edited database that makes the cloud vendor selection process easier, by helping you find a cloud provider who supports the environment you need.…

HP in the Cloud

By G C Network | May 29, 2008

In “HP weds cloud…” , Hewlett-Packard has apparently outlined their approach to cloud computing. They are merging their high-performance computing unit with the Web 2.0 and cloud computing infrastructure businesses.…

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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