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US Army Cloud Computing Class at Ft. Gordon, GA
A few weeks ago I had the distinct pleassue of teaching yet another US Army cloud computing class. This time the venue was Ft. Gordon, GA and the students definitely…
78 Agency Services Identified for Cloud Transition
The Office of Management and Budget recently released a list of 78 projects slated for transition to cloud over the next year. The most common application, according to a FierceGovernmentIT,…
NGA Sets GEOINT Strategic Direction with Earth Builder
Last month Google and the National Geospatial Intelligence Agency started sharing details about their “GEOINT on Demand” collaboration. The project, named Earth Builder, was built specifically to enable NGA to…
Teleology Systems Introduces CloudeFX at DoDIIS
Next week at DoDIIS, NJVC will be showcasing a few of our government cloud computing partners. One of the most exciting of these is the Cloud Service Orchestration Framework by…
Cloud Computing Highlighted at DoDIIS 2011
Are you going to DoDIIS? Schedule for May 1-5, 2011 in Detroit, Michigan, the conference highlights the Defense Intelligence Agency’s (DIA) commitment to developing and maintaining secure and reliable networks for…
Washington DC a Cloud Computing Trendsetter!
A TechJournal South article last week named Washington, DC as a leading trendsetter in cloud computing. Citing a Microsoft sponsored survey, conducted by 7th Sense research, D.C. was highlighted as particullarly receptive…
Melvin Greer Cited by IBM for Cloud Computing Innovation
Congratulations to my good friend Melvin Greer for being awarded IBM’s first ever ACE Award!! “Melvin Greer, Lockheed Martin Senior Fellow has won IBM’s first ever Awarding Customer Excellence (ACE)…
“GovCloud: The Book” Launched at National Press Club Event
As many of you know, today marked the official launch of my first book – GovCloud: Cloud Computing for the Business of Government. Today’s venue was the National Press Club…
“Cloud Musings on Forbes” Launched!!
Today I published my first post on Forbes.com!! At the invitation of Bruce Upbin, Forbes.com editor, I will be contributing posts monthly. I see this not only as an honor,…
Tech America and INSA Form Cloud Computing Advisory Groups
Last week TechAmerica announced the formation of a “cloud computing commission” to advise the White House on the current plans to steer more than $20B worth of IT services toward…
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.
- 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:
- Doctors at PennMedicine’s heart failure and transplant program that improved heart health by identifying patients who require proactive treatment.
- The “Collaborative Cancer Cloud” at Oregon Health and Science University allows hospitals to securely share patient genomic data in order to look for new ways of determining overall health
- Using data from US Geological Survey to train models that can be used to detect “data outliers” in real-time which can be very useful in detecting unusual seismic behaviors and forecasting intense earthquakes
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.
( Thank you. If you enjoyed this article, get free updates by email or RSS – © Copyright Kevin L. Jackson 2016)
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