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Data Management // Hardware/Architectures

Moogsoft and Cisco’s AppDynamics on How AIOps is Growing

Artificial intelligence is increasingly being put to work automating certain operations as IT systems become more complex.

By Joao-Pierre S. Ruth Senior Writer, 6/17/2019

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Must Have IT Skills You Need to Remain Competitive

Engineers, developers, and IT managers might want to consider training on these skill sets to keep themselves invaluable to their organizations.

By Joao-Pierre S. Ruth Senior Writer, 6/3/2019

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View from the Edge: Clear or Cloudy?

Organizations across industries are extending their infrastructures outward to enable IoT, but not all of them are able to use data as well as they'd hoped.

By Lisa Morgan Freelance Writer, 5/29/2019

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Architecting for Anarchy: F5's MacVittie on Network Stability

F5’s principal technical evangelist discusses balancing DevOps and security to avoid chaos in the cloud and container era.

By Joao-Pierre S. Ruth Senior Writer, 5/28/2019

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CIO Keynote: Less Jargon, More Focus on Business Outcomes

Though they came from different disciplines, CIOs at the Interop keynote shared a common need to get down to business.

By Joao-Pierre S. Ruth Senior Writer, 5/22/2019

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How AI Influences Company Strategies and Job Development

The ongoing buzz surrounding AI and machine learning is a source of optimism, but also raises some concerns.

By Joao-Pierre S. Ruth Senior Writer, 5/13/2019

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5 Ways Edge Tech is Transforming Travel and Transportation

If you are wondering about the role of edge technologies, consider how they help companies and individuals in the travel and transportation sectors.

By Subroto Mukerji, vice president, DXC Technology , 5/6/2019

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Q&A: Rosalind Radcliffe, Chief Architect for DevOps at IBM

The distinguished engineer at the company, and speaker at Interop, talks about making it easier to develop on IBM Z mainframes.

By Joao-Pierre S. Ruth Senior Writer, 5/3/2019

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AI: Focus Turns to Ethical Standards for Intelligent Systems

Should robots and other autonomous and intelligent systems be held to established ethical standards?

By John Edwards Technology Journalist & Author, 4/25/2019

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Topspin and Terabytes: IBM Ups Its Cloud Game at the Masters

Lessons learned from working with sports data can inform new ways of addressing enterprise DevOps, cloud, and AI needs.

By Joao-Pierre S. Ruth Senior Writer, 4/24/2019

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Q&A: Gadi Singer on Intel’s AI Plans for Enterprise

The vice president of Intel's AI products group talks evolution and new applications for artificial intelligence.

By Joao-Pierre S. Ruth Senior Writer, 4/19/2019

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Why AI Isn't Gaining Traction in Your Enterprise

For all the buzz about artificial intelligence and machine learning, there has been surprisingly little real progress with adoption in the enterprise.

By Andrew Froehlich President & Lead Network Architect, West Gate Networks, 4/17/2019

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AI is Not Magic – It’s Time to Demystify and Apply

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

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

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

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?

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

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

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

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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