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Operation Golden Phoenix
This week, Dataline is participating in Operation Golden Phoenix. Operation Golden Phoenix is a four-day multi-agency collaborative training event designed to assist federal, state and local agencies with large and…
DISA Reaches out to Industry on Cloud Computing
In an interview with Computerworld , published in the New York Times, John Garing expanded on his goals for the DISA cloud computing initiative. Garing said that, “… he and…
Cloud Computing is $160B Market
According to the Financial Post, a Merrill Lynch Note estimates that cloud computing could be a $160B market by 2011. The companies that they see in the marketplace are shown…
SOA-R Educational Series: What is Cloud Computing
On July 16th, SOA-R held it’s first of six educational sessions on cloud computing for national security missions. Presenters during this first event were: Steven L Armentrout, PhDPresident & CEOParabon…
Gartner: Cloud Computing Fraught with Security Risks
Cloud computing is fraught with security risks, according to analyst firm Gartner. Smart customers will ask tough questions, and consider getting a security assessment from a neutral third party before…
The Definition of “Net-centric”
Last week, the Google Cloud Computing Group debated the definition of net-centric. The key thought was that net-centric was nothing more than internet-centric or basically “online” and therefore it really…
Cloud Computing Journal Launched
“The world’s first journal devoted to the delivery of massively scalable IT resources as a service using Internet technologies has been launched by SYS-CON Media. The all-new “Cloud Computing Journal”…
SOA-R First Session Presentations Announced
The presentations for the first session of the SOA-R Educational Series sesion have just been announced: Steven L Armentrout, PhDPresident & CEOParabon Grids, Clouds and Computation: Getting to Ground Truth…
Cloud Storage as a Service
In SAN vs cloud storage – a gray or silver lining? , Joseph Hunkins review last December’s observations of cloud storage by Chris Mellor of Techworld: “Google does not use…
Google: Model for the Systems Architecture of the Future
In December of 2005, Prof. Paul A. Strassmann of George Mason University, provided an excellent outline for cloud computing success in a netcentric environment: Network-Centric Requirements (2010)• Downtime ( 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)
Cloud Computing
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Cybersecurity
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