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One AWESOME Week of Cloud Computing
We just finished up five AWESOME days of cloud computing training with USAREUR in Schwetzingen, Germany ! CHECK IT OUT !! Create your own video slideshow at animoto.com. Sure we…
NGA Exploring “Community Cloud” With NCOIC
The National Geospatial-Intelligence Agency (NGA) is looking to leverage industry expertise through collaboration with the Network Centic Operations Industry Consortium (NCOIC). NGA provides timely, relevant and accurate geospatial intelligence in…
DoD, NASA and GSA Address Secure Cloud Computing
On Thursday, May 26th, the Federal Executive Forum featured three important Federal cloud computing leaders: David McClure- Associate Administrator, GSA Office of Citizen Services and Communications Col. Kevin Foster- Office of…
Cloud Computing Day at DoDIIS
I’m declaring Monday, May 24th, as Cloud Computing Day at DoDIIS. Lieutenant General Richard Zahner, Army Deputy Chief of Staff, G2, seemed to get things going with his video that…
Vivek Kundra – State of Public Sector Cloud Computing
Last week Federal Chief Information Officer Vivek Kundra release his report on the “State of Public Sector Cloud Computing”. The report not only details Federal budget guidance issued to agencies…
Cloud Computing at DoDIIS
Next week in Phoenix, AZ, the Defense Intelligence Agency will host the 2010 Department of Defense Intelligence Information Systems (DoDIIS) Worldwide Conference. The theme of this event is “Mission Powered…
Open Group Publishes Guidelines on Cloud Computing ROI
In an important industry contribution, The Open Group has published a white paper on how to build and measure cloud computing return on investment (ROI). Produced by the Cloud Business…
The Army’s iPhone Story
Sandra Erwin of National Defense magazine just published an excellent article on the Army’s foray into developing soldier-friendly smartphone applications. Giving credit to Army CIO Lt. Gen, Jeffrey Sorenson and…
Vivek Kundra Steps Up to Cloud Computing’s Next Challenge
” [C]loud customers must be able to easily store, access, and process data across multiple clouds; weave together a mesh of different services to meet their needs; and have a…
Cloud Computing’s Next Challenge
Earlier this month, Melvin Greer and I teamed up on a Military Information Technology piece. Melvin is a senior research engineer and cloud computing chief architect at Lockheed Martin, and…
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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