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Robert Duffner Interviews Chris Kemp, NASA, and Kevin Jackson, NJVC, on GovCloud
Recently, I had the pleasure of being interviewed by Mr. Robert Duffner, director of Product Management for Windows Azure, as part of his “Thought Leaders in the Cloud” series. In this interview,…
NJVC, Invertix Announce Cloud Computing Demonstration at GEOINT 2010
VIENNA, Va. — (BUSINESS WIRE) — NJVC®, one of the largest providers of information technology (IT) solutions to the U.S. Department of Defense, and Invertix Corporation, a proven technology company…
On The Frontlines: Cloud Computing in Government
Today, Trezza Media Group released the latest installment of it’s “On The Frontlines” series of government technology reports. The “On The Frontlines” Publications are dedicated to showcasing the positive progress…
GSA Awards Eleven US Federal IaaS Contracts
According to Federal News Radio, GSA awarded eleven vendor spots in the first Federal cloud infrastructure-as-a-service award. The winners were: * Apptis Inc. partnered with Amazon Web Services* AT&T* Autonomic…
NIST To Hold 2nd Cloud Computing Forum & Workshop
On November 4-5, 2010, the National Institute of Standards and Technology (NIST) will hold their second Cloud Computing Forum & Workshop. During this event, NIST will report on the status of federal…
“On The Frontlines” Interview
Look out for “On The Frontlines: The Government Cloud” scheduled for release in November 2010! Trezza Media Group provides high-quality thought leadership media and marketing services to help companies connect…
Yongsan Army Garrison Does Cloud Computing!!
First Signal is ready for the cloud ! Even with the time constraints of the Chusok holiday and the onslaught of a 100-year flood, the class soldiered on with five…
Army Cloud Computing in Korea!
After a long uneventful flight, I’ve arrived at Yongsan Army Garrison in Soeul Korea. After enjoying the economy accomodation on a Boeing 777 for over 14 hours, my room and…
The Taiwan GovCloud
Last week, Henry Kenyon of Federal Computer Week reported that the Taiwanese government is planning to spend $744M to develop cloud computing technology. Premier Den-yih Wu sees this as a…
Geospatial Cloud Computing In Support Of National Policy
A few weeks ago I once again had the pleasure of participating in a private discussion on cloud computing with Mr. Vivek Kundra. What struck me in this most recent meeting was his views…
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)
Cloud Computing
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Cybersecurity
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