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Virtual Machines in Virtual Networks
One of the key value propositions in cloud computing is built around increase efficiencies. These eficiencies are diven by the use of virtual machines (VMware, XEN, etc.) and the automated…
SOA-R Interest Grows
Interest continue to grow in the use of cloud computing concepts for national security missions. Although some view the idea of a “private cloud” as an oxymoron, I personally see…
Microsoft: “Cloud Computing is the Plan”
From the Wireless Business & Technology Cloud Computing News Desk : “Ballmer highlighted software-plus-service, associating it with a ‘platform in the cloud and delivering applications across PCs, phones, TVs, and…
CC Tidbits
Interesting tidbits from Maureen O’Gara in Apple, Google, Yahoo & Cloud Computing: Industry gadfly John Dvorak is advancing a theory culled from the blogosphere that Microsoft wants Yahoo for some…
Correlative Analytics: Cloud Computing Google Mindshare
Correlative Analytics (A.K.A. “The Google Way of Science“) postulates that extremely large databases of information, starting in the petabyte level, may be sufficient to skip the theory part of the…
What is Cloud Computing? — Another view
Irving Wladasky-Berger, chairman emeritus of IBM’s Academy of Technology, recently wrote and article on cloud computing titled “What is Cloud Computing, Anyway?”. The following is my interpretation of a few…
Dark Cloud Computing
In his blog article “The Rise of The Dark Cloud” Reuven Cohen wonders about a growing interest in covert computing. Although he briefly mentions malevolent uses of the net, the…
July Military Information Technology magazine
This month’s issue of Military Information Technology magazine has the Army’s Chief Information Officer, Lieutenant General Jeffrey A. Sorenson, on the cover. The enclosed special report, titled LANDWARNET Transformation, has…
“The Big Switch” and Intellipedia Highlighted
During last week’s SOA-R session, Steven Armentrout referenced “The Big Switch” by Nicholas Carr as a very enlightened view of our changing world. On July 17th, Information Week’s Richard Martin…
Does anybody really know what cloud computing is?
Less than 2% of the CIOs in an Infoworld survey said that cloud computing was a priority. The surveyed indicated that server virtualization and server consolidation are their No. 1…
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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