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Leading Federal Integrators Address Tactical Cloud Computing
Yesterday during the first annual Government IT Conference and Expo, tactical cloud computing was cited as a critical component within this new paradigm. Joining me to address the issue were:…
Carpathia Creates Government Solutions Business Unit
In a strong statement of focus, Carpathia Hosting has announced the formation of Carpathia Government Solutions, a unit dedicated to providing solutions specifically for federal civilian and defense agencies. This…
INPUT FedFocus 2010
Please join me at the 7th Annual FedFocus Conference, November 5, 2009, at the Ritz Carlton in McLean, VA. This conference has been designed to provide crucial information on upcoming…
Dataline, Lockheed Martin, SAIC, Unisys on Tactical Cloud Computing
I’m proud to announce that representatives from Lockheed Martin, SAIC, and Unisys will join me in a Tactical Cloud Computing “Power Panel” at SYS-CON’s 1st Annual Government IT Conference &…
GSA, DoD and NCOIC to Collaborate on Government Cloud Computing
Yesterday, during the NCOIC Cloud Computing Workshop, collaboration seemed to be the focus as Katie Lewin, GSA Cloud Computing Initiative Program manager, and Dan Risacher, DoD Cloud Computing Storefront project…
FederalNewsRadio Highlights Government Cloud Computing
Last week’s Apps.gov announcement was the latest steps in the government’s “at the quick step” march into cloud computing. FederalNewsRadio, a Washington metro area media fixture, highlighted the event with…
NCOIC Officially Launches Cloud Computing Working Group
On Wednesday, 9 September 2009 the Network Centric Operations Industry Consortium (NCOIC) Technical Council formally approved the creation of a Cloud Computing Working Group (CCWG). Organizationally this new working group…
1 Billion Mobile Cloud Computing Subscribers !!
Yes. That’s what I said! A recent EDL Consulting article cites the rising popularity of smartphones and other advanced mobile devices as the driving force behind a skyrocketing mobile cloud…
NCOIC Holding Full-Day Cloud Computing Workshop
The Network Centric Operations Industry Consortium will be holding an all day Cloud Computing Workshop on September 21, 2009 in Fairfax, VA. Open to the public, this workshop will focus…
Pentagon Reviews Unisys Stealth
According to a Newtworkworld.com article, the United States Joint Forces Command (USJFC) is currently evaluating Unisys Stealth technology at the Joint Transformation Command for Intelligence (JTC-I) in Suffolk, Virginia. “Unisys…
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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