TAP Accelerates Artificial Intelligence

Cloud computing: A data-centric business model

By G C Network | October 3, 2015

According to the National Institute of Standards and Technology: “Cloud computing is a model for enabling ubiquitous, convenient, on-demand network access to a shared pool of configurable computing resources (e.g., networks, servers,…

John Mayer At Dell World 2015!! (Oh, I’ll be there too.)

By G C Network | September 30, 2015

An artist who defies all boundaries, John Mayer has won seven Grammy Awards and sold more than 17 million albums worldwide. The singer, songwriter and guitarist’s skills have been widely…

Data-centric Security: The New Must Have

By G C Network | September 23, 2015

Where is your data right now? The explosion of cloud computing and consumer IT means that your data, as well as data about you, can be virtually anywhere.Having your data and the…

Personal email:Pathway to Cybersecurity Breaches

By G C Network | September 14, 2015

As a business communications tool, email is the dominant option, and many corporations have policies that allow the use of personal email on corporate computers. In a recent Adobe Systems…

IEEE Cloud Computing: Legal Clouds

By G C Network | September 11, 2015

The new issue of IEEE Cloud Computing is now available!   This special issue looks at how to balance privacy with legitimate surveillance and lawful data access. Some of the…

Cloud hosting: Look beyond cost savings and weigh pros, cons

By G C Network | September 3, 2015

Is your company struggling with the idea of using “cloud hosting” in order to save money? Truth be known, using cost savings as the primary reason for moving to cloud…

“Cloud First” Lessons Learned from ViON

By G C Network | August 25, 2015

In 2011, then United States CIO Vivek Kundra released the US Federal Cloud Computing Strategy [1]. In the executive summary he pointed to cloud computing as a key component of…

Looking for Security Peak Performance?

By G C Network | August 19, 2015

You can find it at Dell Peak Performance 2015!!! I’ll be there at the Aria Resort and Casino in Las Vegas attending as a social media correspondent with a full…

The Cybersecurity Sprint: Are we safe yet?

By G C Network | August 7, 2015

UPDATE: NBC News reports U.S. officials have disclosed a hack of the Pentagon’s Joint Staff unclassified email system, which took place on July 25. Recent unauthorized access to a U.S. government database…

Cloud Computing + Things = “Information Excellence”, Not IoT

By G C Network | July 31, 2015

The Internet of Things (IoT) has quickly become the next “be all to end all” in information technology. Touted as how cloud computing will connect everyday things together, it is…

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.

Cloud Musings

( Thank you. If you enjoyed this article, get free updates by email or RSS – © Copyright Kevin L. Jackson 2016)

Follow me at https://Twitter.com/Kevin_Jackson
Posted in

G C Network