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News & Commentary
AI is Not Magic – It’s Time to Demystify and Apply
Guest Commentary, Guest Commentary
Commentary
It's time for enterprises to define their artificial intelligence strategies, and they have to consider embarking on mass experimentation to achieve success.
By Rob Thomas, General Manager, Data and AI, IBM , 2/21/2019
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Enterprises are White Knights in Battle to Avoid AI Winter
Guest Commentary, Guest Commentary
Commentary
It is up to enterprise organizations, not just academia, to maintain artificial intelligence's momentum when it comes to innovation and adoption.
By Scott Clark, co-founder and CEO, SigOpt , 2/4/2019
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Training AI to Save Lives
James Kobielus, Lead Analyst, SiliconANGLE Wikibon
Commentary
If some forms of artificial intelligence may put lives at risk, what are some of the options for safer deployment of the technology.
By James Kobielus Lead Analyst, SiliconANGLE Wikibon, 1/24/2019
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How Retail is Advancing AI, IoT
Jessica Davis,  Senior Editor, Enterprise Apps
News
Combining computer vision, IoT, and AI creates a system that delivers more value than those three technologies in isolation, as the retail industry is highlighting.
By Jessica Davis Senior Editor, Enterprise Apps, 1/18/2019
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Now That You Have IoT, How Do You Manage It?
Mary E. Shacklett, Mary E. Shacklett
Commentary
A key to success with an IoT strategy is to keep the IT group involved in the process even at the pilot stage.
By Mary E. Shacklett Mary E. Shacklett, 1/10/2019
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IoT: Living on the Edge
Guest Commentary, Guest Commentary
Commentary
Where is your data when you need it? Edge computing offers an alternative to processing all data in the cloud or the data center.
By Kevin Meany, Co-Founder and CTO, Versatile , 12/31/2018
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Predictions for Artificial Intelligence in 2019
James Kobielus, Lead Analyst, SiliconANGLE Wikibon
Commentary
From issues such as privacy and data bias regulation to model training and self-service AI, you can expect a broad range of key advances in the artificial intelligence space.
By James Kobielus Lead Analyst, SiliconANGLE Wikibon, 12/18/2018
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5 Machine Learning Resolutions for 2019
Lisa Morgan, Freelance Writer
Commentary
More organizations are using machine learning for competitive reasons, but their results are mixed. It turns out there are better -- and worse -- ways of approaching it. If you want to improve the outcome of your efforts in 2019, consider these points.
By Lisa Morgan Freelance Writer, 12/13/2018
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Build Reliability into Autonomous and Intelligent Systems
Lisa Morgan, Freelance Writer
Commentary
When building and using autonomous and intelligent systems, it’s important to know they’re behaving reliably, because if things go wrong, they can do so at scale, fast.
By Lisa Morgan Freelance Writer, 12/6/2018
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Amazon AWS Themes: Faster, Easier, Cheaper
Lisa Morgan, Freelance Writer
News
Customers are constantly asking Amazon to help them accomplish more in less time at lower costs. Amazon CEO Andy Jassy said the company is listening. Here’s what AWS presented as proof.
By Lisa Morgan Freelance Writer, 11/29/2018
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Using Blockchain to Support Trustworthy Transactions on the IoT
James Kobielus, Lead Analyst, SiliconANGLE Wikibon
Commentary
Recent computer industry developments set the stage for demonstrations of how blockchain can help to turn Internet of Things networks into trusted environments.
By James Kobielus Lead Analyst, SiliconANGLE Wikibon, 11/27/2018
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Why Mixed Reality is Messed Up, for Now
Lisa Morgan, Freelance Writer
Commentary
Augmented reality (AR) and virtual reality (VR) were supposed to transform user experiences, but technologies have had false and soft starts in various industries. Here's why.
By Lisa Morgan Freelance Writer, 11/15/2018
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Tech Vendors to Watch in 2019
Susan Fogarty, Editor in Chief
Commentary
Our listings of the hottest vendors in cloud, DevOps, infrastructure, security, and data and analytics can help streamline your IT product selection process.
By Susan Fogarty Editor in Chief, 11/13/2018
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Who's Hot in Data & Analytics: Top Vendors to Watch
Lisa Morgan, Freelance Writer
Commentary
Organizations are using data to facilitate digital transformation, making data analytics a booming market. We highlight vendors that are addressing enterprise challenges with products for advanced analytics, machine learning, and data governance.
By Lisa Morgan Freelance Writer, 11/6/2018
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AI and the Death of 'Employment for Life'
James M. Connolly, Executive Managing Editor, InformationWeekEditor in Chief
Commentary
When AI brings about job losses and changes our careers, remember that we've been through this before, time and again.
By James M. Connolly Executive Managing Editor, InformationWeekEditor in Chief, 11/1/2018
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Modern Advances in Disaster Alert Technology
Emily Johnson, Digital Content Editor, InformationWeek
News
When lives are on the line information can make the difference between survival and tragedy. Here’s a look at the technology organizations are using to communicate with the public and employees before, during, and after a disaster occurs.
By Emily Johnson Digital Content Editor, InformationWeek, 10/22/2018
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How Edge Computing Will Change Enterprise IT
Kayla Matthews, Technology Writer
Commentary
Edge computing holds promise for enterprises, particularly in supporting their IoT implementations. However, edge also raises some security concerns.
By Kayla Matthews Technology Writer, 9/19/2018
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Building a Smart City Doesn’t Have a Common Blueprint
Guest Commentary, Guest Commentary
Commentary
While there is no exact definition of what a smart city must offer its citizens, there is also no shortage of "smart" initiatives.
By Jean Turgeon, VP and Chief Technologist, Avaya , 9/18/2018
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Meet the Automation Architect
Emily Johnson, Digital Content Editor, InformationWeek
News
There might be plenty of career opportunities for those who can bridge technology, people and processes.
By Emily Johnson Digital Content Editor, InformationWeek, 9/5/2018
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10 Roadblocks to Becoming a Data-Driven Enterprise
Cynthia Harvey, Contributor, NetworkComputing
News
Nearly 100% of enterprises want to become more data-driven, but less than a third have accomplished that goal. A new survey sheds light on the reasons why.
By Cynthia Harvey Contributor, NetworkComputing, 9/4/2018
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More Stories
Commentary
AI as a Human Right
Guest Commentary, Guest Commentary,  3/8/2019
News
How to Become a Master Scrum Master
John Edwards, Technology Journalist & Author,  2/28/2019
News
TaylorMade IT Spin-Off Taps Cloud Database
Jessica Davis, Senior Editor, Enterprise Apps,  2/15/2019
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