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Data Management // Hardware/Architectures

How to Choose the Right Analytics Skills

Just because an analyst hits the ground running does not mean that analyst has the ongoing breadth needed to solve every day analytics problems.

By Pierre DeBois Founder, Zimana, 9/10/2019

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Lineage Metadata: The Fuel for Data Governance

The best way to achieve data quality is by combining or blending these three techniques: decoded lineage, data similarity lineage and manual lineage mapping.

By Moshe Kranc, CTO, Ness Digital Engineering , 8/1/2019

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IBM’s Rob High and Rumjog’s Thomas Young Talk Edge Computing

The scope of what can be done through edge computing is growing fast, but it will take more talent and new strategies to reap the benefits.

By Joao-Pierre S. Ruth Senior Writer, 7/26/2019

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Slash Data Center Costs by Optimizing Hardware Investments

CIOs can quickly find themselves on an expensive hardware-replacement treadmill, but it doesn’t have to be that way.

By Gordon Smith, CEO, Sagent , 7/25/2019

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7 Technologies You Need to Know for Artificial Intelligence

Artificial intelligence is actually a term that encompasses a host of technology and tools. Here's a closer look at some of the more important ones.

By Jessica Davis Senior Editor, Enterprise Apps, 7/1/2019

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IBM Esports and Interxion Talk Lessons from Cloud Gaming Tech

Enterprises can learn from the infrastructure being built up to support the growing cloud gaming market.

By Joao-Pierre S. Ruth Senior Writer, 6/28/2019

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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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