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The Endpoint Imperative: In a Software World, Hardware Does Matter
Hardware matters. From productivity to security to innovation, make sure your machines can keep up. Intel’s Sarah Wieskus joins The End Point Imperative: A Podcast series from Intel to discuss…
IT Transformation with Watson
Credit: Shutterstock by Kevin Jackson & Dez Blanchfield IBM recently launched an exciting new project in the form of a podcast series produced and hosted Dez Blanchfield, appropriately titled the…
The Endpoint Imperative: A Form Factor Renaissance
Workplace expectations are changing, and along with them, the devices we use to do our jobs. In this episode of “The End Point Imperative”, Intel’s Sarah Wieskus tells us about…
Cloud Storage 2.0 Set To Dominate Market
The enterprise data storage marketplace is poised to become a battlefield. No longer the quiet backwater of cloud computing services, the focus of this global transition is now going from…
Top “Cloud Musings” Posts For 2017
( 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…
The Endpoint Imperative: ID’ing and Overcoming the Stumbling Blocks to Digital Transformation
Digital Transformation is the No 1 priority for organizations large and small. It’s imperative that IT remove any obstacles to digital transformation success – including outdated PCs and mobile devices.…
Industry Verticals Tackle Unstructured Data
Organizations around the world are struggling to cope with the current data explosion. A vital characteristic of this data is that it is unstructured and represents things like email,…
The Endpoint Imperative: The Perimeter is Dead; Long Live the Perimeter!
Cloud, mobility and the Internet of Things have obliterated the traditional perimeter that protected organizations. The result: Higher productivity, but bigger challenges for security, data protection, and mobile device management.…
The Data Storage Explosion
Cloud computing innovation will power enterprise transformation in 2018. Cloud growth is also driving a rapid rise in the storage market, exacerbating the enterprise challenge around storage cost and complexity.…
Digital Transformation Drives Mainframe’s Future
Digital Transformation is amplifying mainframe as mission critical to business growth more than ever before. With 70% of the world’s corporate data and over half of the world’s enterprise…
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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