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SOA-R!! Another Hit !!
Yesterday’s SOA-R event coverage by TECH Bisnow Washington was yet another indication that cloud computing is real in the Federal space. Thanks goes to Mr. Dave Stegon from Bisnow on Business and Pauline Healy from Apptis. Thanks…
World Summit of Cloud Computing, December 1-2, 2008, Wohl Centre, Ramat Gan, Israel
I am proud to announce that I’ve been invited to speak at the “World Summit of Cloud Computing“, December 1-2, 2008, at the Wohl Centre in Ramat Gan, Israel. As…
MIT Survey: What A Response !!
We’ve been quite surprised by the number of survey responses we’ve received. THANK YOU !! That subset of the cloud computing community interested in national security and public sector applications…
Cloud Auction Business Model
The other day I talked about how cloud computing could change the government’s budgeting process. Well what about this! Last week, Google filed a patent application that describes a system…
Oracle: To Cloud or Not To Cloud …
First Oracle’s Larry Ellison bashes cloud computing as nothing but hype and then his company announces that it will let customers run Oracle 10g and 11g databases and its Fusion…
Capacity planning in a cloud environment
In her post “Cloud computing killed the capacity star“, Ivanka Menken brings up some good points. Just think what changes this could bring to the government budgeting process. The trends…
Cloud Databases
Joab Jackson, in his “Cloud computing leaving relational databases behind” article, makes some pretty interesting points on the incompatibility of relational databases with cloud-based infrastructures. He first list the various…
The 6 layers of the Cloud Computing Stack
From Sam Johnston’s Taxonomy post Clients (examples) are computer hardware and/or computer software which rely on The Cloud for application delivery, or which is specifically designed for delivery of cloud…
Thank You KMI Media Group
In this month’s Editor’s Perspective, Mr. Harrison Donnelly announced the new KMI Media Group collaborative effort. Military Information Technology will be using the blogosphere to get their government and industry…
VMware, Cisco and the Virtual Datacenter
Last week, VMware and Cisco announced their latest collaboration for the virtual datacenter of the future. The Cisco Nexus® 1000V distributed virtual software switch is expected to be an integrated…
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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