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OMG Cloud Standards Summit
July 13-15, 2009, in Arlington, VA, the Object Management Group, is holding a Standards in Government & NGO’s Workshop. During the first day, the Cloud Computing Standards Summit will focus…
NDU IRM Cloud Computing Event “Sold Out”!!!
Hope you’ve already registered for the “The Cloud Computing Symposium” , Wednesday, July 15, 2009 at the National Defense University in Washington, DC! This promises to be the premier government…
SSA’s Jim Borland on Healthcare Information Technology
Today, on this week’s Federal News Radio Federal Executive Forum webcast, Mr. Jim Borland, Special Advisor for Health IT, Office of the Commissioner, Social Security Administration(SSA), will discuss the value…
Dr. Leslie Lenert of CDC Speaks on Healthcare IT
During this week’s Federal News Radio Federal Executive Forum pre-recording, Dr. Leslie Lenert, Director, National Center for Public Health Informatics (NCPHI) at the Centers for Disease Control and Prevention (CDC),…
Linda Fischetti on VHA Healthcare
This week pre-recording of Federal News Radio Federal Executive Forum featured Linda Fischetti , Health Informatics Architect at the Veterans Health Administration (VHA). During a panel discussion, her comments on…
Vish Sankaran, HHS, Speaks on Healthcare IT
During the pre-recording of this weeks Federal News Radio Federal Executive Forum, Vish Sankaran, Program Director of Federal Health Architecture, discussed the role of information technology in improving the country’s…
Iranian Protests Showcase Twitter, Facebook, YouTube (and Cloud Computing) !
In covering unfolding events in Iran, the world’s most powerful news outlets have been entirely dependent on the Twitter-provided flow of text, images, and video. While this has definitely showcased…
Two Days with AWS Federal
Today, I start two days of training with Amazon Web Services (AWS) Federal. If that’s the first time you’ve ever heard about an AWS Federal division, your not alone. Held…
Maneuver Warfare in IT: A Cheerleading Pundit
The Twitter conversation between Christofer Hoff and I went like this: Christofer – I haven’t formally blogged a resp. (yet) to @Kevin_Jackson on his ‘maneuver warfare in IT’ Not just a cultural shift but a…
Expanding Maneuver Warfare in IT
Earlier this week I published “Cloud Computing: The Dawn of Maneuver Warfare in IT Security” via Ulitzer. In publishing the article my intent was to explore the more dynamic approach…
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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