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CloudCamp Federal 2008 – Don’t miss out !!!
Tickets are going fast for CloudCamp Federal 2008 on November 12th in Chantilly, Virginia !! Representatives from the following organizations are already registered to attend. 3TERAAmazon Web Services (AWS)AOLAppistryApptisBooz Allen…
Private Clouds
Yesterday in eWeek, Chris Preimesberger, provided a very good read in “Why Private Cloud Computing is Beginning to Get Traction“. “Private cloud computing is a different take on the mainstream…
Important Cloud Computing Events
Mark your calendar for the following cloud computing events. These are specifically targeted to organizations looking to leverage cloud computing technologies and techniques in support of national security requirements. CloudCamp…
Forrester: Embrace Cloud Computing to Cut Costs
“Forrester Research advises CFOs to take a close look at cloud computing for messaging and collaboration and enterprise applications. The payoffs could be noticeable during the current economic downturn.” In…
Government still wary of cloud computing
Federal News Radio interviewed Ron Markezich, a corporate vice president of Microsoft, Mike Bradshaw, president of Google federal, and Michael Farber, a partner with Booz Allen on the government’s approach…
Microsoft Azure
With the announcement of Azure, Microsoft has finally made it’s cloud computing plans public. Maybe Larry Ellison is now ready to revise his opinion, huh? While this announcement is definitely…
Federal Grants from the Cloud
In case you mised it, the Department of Interior has announced that it plans to build a cloud computing platform to manage the processing and distributing of government grants. “Grants.gov…
Economist.com : Let it rise
This week, The Economist provides an insightful special report on cloud computing. From “Clouds and Judgement“: “Computing is fast becoming a “cloud”—a collection of disembodied services accessible from anywhere and…
Some More Cloud Computing Survey Results
As promised, here are some more results from the MIT/”Cloud Musings” on-line survey! Please remember, THIS IS NOT A SCIENTIFIC SURVEY !! The purpose is only to get a sense of…
Steve Ballmer comments on Microsoft’s cloud plans
On October 17th in the “Redmond Channel Partner Online”, a Microsoft Partner community publication, Kurt Mackie reported on Microsoft’s CEO Steve Ballmer’s comments on the company’s vision for syncing up…
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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