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My views on “Classification of Cloud Computing Stakeholders”
In “Cloudy Times”, Markus Klems is having a good discussion on how cloud computing stakeholders classify the various infrastructure options. I then thought that it would be good for me…
Personal Views on DISA, HP and RACE
DISA and HP are clearly on the path towards cloud computing. At it’s core, net-centric operations requires the effective delivery of information to forward forces and the translation of that…
DISA selects HP for RACE
Byte and Switch reported today that the Department of Defense (DoD) has confirmed that HP will help the Defense Information Systems Agency (DISA) deploy a major cloud computing infrastructure. Grid…
Speakers for First SOA-R Event Announced
Scheduled speakers and topics for the first SOA-R Cloud Computing Education event are: Steve Armentrout, Parabon, President & CEO Grid to Cloud Computing Greg Boss, IBM, Lead Cloud Solution Architect…
Cloud Computing Offerings – A Taxonomy
From “The various level of cloud computing” by Ross Cooney Applications in the cloud: Software as a Service (SaaS). Examples include gmail, yahoo mail, Hotmail, the various search engines, wikipedia,…
Cloud Computing Guides (updated 8/10/08)
InfoWorld Special Report on Cloud Computing InformationWeek Guide to Cloud Computing InfoWorld Cloud Computing Strategy Guide Cloud Computing Product Guide A Brief History of Cloud Computing Business Week CEO Guide…
Microsoft announcing Cloud Computing offering
According to Information Week, Microsoft plans to make three important business software offerings — Exchange, Office Communications, and SharePoint — available in SaaS versions for business this year, but it’s…
Intel new CIO to examine Cloud Computing
In a ComputerworldUK article, incoming Intel CIO Diane Bryant says that she will network with fellow information chiefs, examine cloud computing and advocate using the chip giant’s internal operations as…
Cloud Computing for National Security
As the national security community considers cloud computing as an IT infrastructure option, it is surely looking at the value of the cloud in an information sharing world. Implementation of…
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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