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Data Management // Hardware/Architectures

Preparing for the Upcoming Quantum Computing Revolution

Quantum computing promises to radically transform IT operations and services. How will your organization manage the change?

By John Edwards Technology Journalist & Author, 6/3/2021

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AT&T Communications CTO Legg on Transforming a Telecom Giant

Nearly one year after taking on his current post, Jeremy Legg talks about leveraging the cloud and transformation at the mobile and broadband company.

By Joao-Pierre S. Ruth Senior Writer, 5/24/2021

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How to Take AIOps from a Promising Concept to a Practical Reality

Network and infrastructure management has always been complicated. AIOps promises to simplify things.

By John Edwards Technology Journalist & Author, 5/17/2021

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11 Ways to Ask Smarter Data Analytics Questions

Not everyone has been trained to think like a data scientist or a data analyst, but they can learn to think more like one.

By Lisa Morgan Freelance Writer, 5/13/2021

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How to Enable Data at Operational Speed

Achieving data at operational speed requires a fundamentally different mentality than looking to the past for answers. Here are three steps companies can take.

By Goutham Belliappa, VP of AI Engineering, Capgemini North America , 5/6/2021

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Demystifying Quantum Computing: Road Ahead for Commercialization

In the coming years, quantum computers will likely far exceed the performance of today�s supercomputers and as such, will open entirely new opportunities for organizations.

By Marc Suidan, Technology, Media and Telecommunications Deals Leader, PwC , 5/3/2021

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How Data is Transforming Healthcare for Patients, Providers and Payers

Data-driven digital health technologies are starting to bring seismic changes to the healthcare sector, delivering improved outcomes, increased efficiency, and lower costs.

By Sachin Kalra, VP of Customer Success, Infostretch , 4/30/2021

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The AI Ecosystem: Mapping the Future of Data Science

A new artificial intelligence landscape is emerging, enabling a new wave of innovation for those with the skills and structure to seize the opportunity.

By Fernando Lucini, Global Data Science & ML Engineering Lead, Accenture Applied Intelligence , 4/29/2021

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10 Things Your Artificial Intelligence Initiative Needs to Succeed

In the race to implement AI, some companies may overlook important details that can mean the difference between success and failure.

By Lisa Morgan Freelance Writer, 4/20/2021

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Time to Modernize Your Data Integration Framework

Data is constantly making its way to new platforms, applications, algorithms, and users. The need for an effective data integration framework is at an all-time high. Are you ready?

By William McKnight, President, McKnight Consulting Group , 4/19/2021

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How 2020 Impacted 2021's Predictive Modeling

COVID-19 disrupted the world and predictive models in 2020. In 2021, we're somewhat better prepared to deal with extreme uncertainty.

By Lisa Morgan Freelance Writer, 4/13/2021

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AI at Your Service

Here�s how artificial intelligence in customer service optimizes employee and customer experiences.

By Wanda Roland, VP and Alliance Leader, Digital Customer Experience, Capgemini , 4/5/2021

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New Storage Trends Promise to Help Enterprises Handle a Data Avalanche

Data, data everywhere, but where to put it all? Here's a rundown of five current and potential fast and high-capacity storage approaches.

By John Edwards Technology Journalist & Author, 4/1/2021

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10 Ways Enterprises Can Use the Edge

Edge computing is very much a work in progress, but there are several interesting use cases at work today and more anticipated for the future. Here�s a look at the possibilities.

By Lisa Morgan Freelance Writer, 3/18/2021

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10 Hot IT Job Titles for 2021

The technology job market is evolving. These are the roles most in demand right now.

By Cynthia Harvey Freelance Journalist, InformationWeek, 3/10/2021

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How AI Can Save the World, or Not

Lead artificial intelligence advisor to the United Nations, Neil Sahota shares his perspectives on major UN AI projects and the major challenges to AI today.

By Jessica Davis Senior Editor, Enterprise Apps, 2/22/2021

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What Lawyers Want Everyone to Know About AI Liability

There are more discussions about AI ethics and responsible AI these days, but companies need to be clear about potential AI liability issues.

By Lisa Morgan Freelance Writer, 2/22/2021

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Graph-Based AI Enters the Enterprise Mainstream

Graph AI is becoming fundamental to anti-fraud, sentiment monitoring, market segmentation, and other applications where complex patterns must be rapidly identified.

By James Kobielus Tech Analyst, Consultant and Author, 2/16/2021

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Finding the Great Predictors for Machine Learning

Planning a data model takes a clear look at how variables should be used. A few techniques like factor analysis can help IT teams develop an efficient means to manage a model. Here�s how.

By Pierre DeBois Founder, Zimana, 2/15/2021

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3 Essential Steps to Exploit the Full Power of AI

Here�s how IT leaders can help to achieve a better ROI from their artificial intelligence initiatives.

By Anand Rao, Global & US Leader, PwC , 1/22/2021

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