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AFCEA: Cyberspace at the Cross Roads
Starting December 2, 2009, the Armed Forces Communications and Electronics Association (AFCEA) will be putting on a two-day cyberspace conference. Titled “Cyberspace at the Cross Roads: The Intersection of Cyber,…
“Cloud” Shows Promise during Navy Trident Warrior
Last month as part of the Navy’s annual Trident Warrior exercise, Dataline, LLC successfully demonstrated that a standard shipboard communications infrastructure could be used to manage a commercial cloud infrastructure-as-a-service…
Government Cloud Computing Value Survey
As part of a continuing Government Cloud computing education program, Dataline, LLC has released a Government Cloud Computing Value Survey. This online resource has been designed as an aid to…
“Hyper-Standardized” Cloud Computing Environment a Plus for DISA
Henry Sienkiewcz, DISA Computer Services Technical Director, credits the cloud computing “hyper-standardized” environment for the improvement they have been able to deliver through their cloud computing initiative. During remarks at…
Army Deputy CIO Cites Army/DISA Cloud Computing Partnership
This week’s Federal Executive Forum taping highlighted collaboration between DISA and the Army on the service’s transition to cloud computing. Army Deputy Chief Information Officer Mike Krieger called it a…
Navy CIO Discusses Cloud Computing
During this week’s Federal Executive Forum taping, Navy CIO Robert Carey discussed his views on cloud computing. Stating that the NGEN and CANES (Navy Consolidated Afloat Networks and Enterprise Services)…
DoD, DHS and FBI Highlight Identity Management Interoperability
During this week’s Federal Executive Forum, key decision makers from DoD, DHS and FBI highlighted identity management interoperability as their key priority for 2010. Panelist included: Robert Mocny, Acting Director,…
EuroCloud Launches !!
Congratulations to Pierre-Jose Billotte for the successful launch of EuroCloud !! Established as a pan European network, EuroCloud are communities that represent a knowledgeable network of companies engaged local and…
Government Cloud Economics
In the The Economics of Cloud Computing, Gwen Morton and Ted Alford have published an EXCELLENT economic evaluation of the federal government’s push to cloud computing. Anyone interested in this…
Deputy CIA CIO Newest Ulitzer Author
Jill Tummler Singer, Deputy Chief Information Officer at the Central Intelligence Agency (CIA), is now a Ulitzer author. Appointed in November 2006, Ms Singer is responsible for ensuring CIA has…
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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