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Cloud Computing Evolves: An Interview with Mats Johansson
Recently, Ericsson Digital released an amazing report on Edge Computing and 5G. In it, they explained how distributed cloud computing is paving the way for the future of network communications. They…
The IoT Nexus: Bosch Connected World 2019 in Berlin
Next week, I will be influencing #LikeABosch as I accept an invitation from the company to attend Bosch ConnectedWorld 2019 (BCW19) in Berlin, Germany. This is one of the world’s largest international…
Survive and Thrive With Digital Transformation
First cloud computing then multi-cloud. How can we get ahead of this digital transformation nightmare? These are the laments heard in conference rooms and board meeting around the world. While…
The “George Jetson” of Today
He grew up in Silicon Valley, landed his first job at Apple Computers, was introduced to Nobel Prize winners by his dad and today, he takes a self-driving car…
MWC19: Where Telecommunications and Cloud Meet
As a cloud solution architect, my passion is learning the details about how cloud computing uniquely supports specific business cases. This curiosity is what drove my excitement when Ericsson invited…
Tulane University SoPA Selects “Architechting Cloud Computing Solutions”
Last week, Packt Publishing announced that “Architecting Cloud Computing Solutions” by Kevin L. Jackson and Scott Goessling was selected for use by the Tulane University School of Professional Advancement, Applied Computing Systems & Technology Program as the textbook for…
5G Wireless Technology Connecting Healthcare
Healthcare is in the middle of massive change. Called digital transformation by many, this term describes the industry’s pursuit of the many promises offered by connected patients, connected caregivers, and…
Maria Lensing: The Network Platform for Healthcare’s Future
As a girl, Maria and her family traveled to Memphis, Tennessee to get cancer treatment for her sick brother. The miracle she observed, as the healthcare providers saved her brother’s…
How “Big Iron” Does “Big Regulation”
According to Verizon, there were over there were over 53,000 security incidents in 2017, with over 2,200 of those identified as confirm data breaches. A Ponemon Institute study also showed…
Mainframe Synergies for Digital Transformation
In July of 2018, Broadcom announced its intentions to acquire CA Technologies. In the press release, Hock Tan, President and Chief Executive Officer of Broadcom, said: “This transaction represents an…
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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