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Ambient Awareness. The cloud killer app?
Ambient Awareness: the ability to acquire, process, and act upon application specific contextual information, taking the current user preferences and state of mind into account. In the September 5th New…
The Cloud Wins in Minneapolis at the RNC!
Little did I know that while I was watching the Republicans cheer their standard bearer inside the Xcel Energy Center that the cloud infrastructure was outside defeating the forces of…
Cloud Computing vs. Virtualization
Yesterday, Reuven Cohen in ElasticVapor, provided an excellent post on the title subject. I’d like to “second his emotion” and, for my audience, add that cloud computing technologies and techniques…
Government Technology Cloud Recommendations
Recommendation on the cloud from Government Technology: No. 1: Educate your team about cloud computing. Don’t just ignore this topic as hype – the future is in this direction. Go…
Cloud Computing: A pay-by-consumption scalable service
John Edwards (not the Senator) of Computerworld sees cloud computing as a “…pay-by-consumption scalable service that’s usually free of long-term contracts and is typically application- and operating system-independent”. His recent…
Cloud Computing Dictionary
Geva Perry will be presenting at the October 8th SOA-R event. Before attending, you may want to visit his cloud computing dictionary to catch up on the current cloud computing…
Google Launches Chrome: Desktop-centric to Network-centric
According to Nicholas Carr, “Chrome is the first cloud browser”. If you’re not familiar with Chrome, this application is Google’s entry into the browser wars. In his blog, Mr. Carr…
Boeing Gives Up On Interoperable Modelling and SimulationNnetworks
Last week a Flightglobal article reported on the softening of Boeing’s stance on the need to establish standards for networking protocols across the US and global defence industry. Citing the…
Cisco: A Cloud Computing Company?
Yes Cisco ! Red Herring’s report on Cisco’s acquisition of PostPath last week presents a strong case for this. If finalized, PostPath would become Cisco’s fifteenth acquisition in less than…
Cloud Computing at top of Hype Cycle
Computerworld reports that Gartner see cloud computing as being at the top of the hype cycle. They have also settled on a definition: “a style of computing where massively scalable…
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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