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News & Commentary
Make Artificial Intelligence Work for Your Business Needs
John Edwards, Technology Journalist & Author
Commentary
AI software is everywhere, yet only a handful of offerings target specific demands. How can enterprises customize generic AI tools to meet their unique needs?
By John Edwards Technology Journalist & Author, 9/18/2019
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Doing Digital Transformation Right
Jessica Davis, Senior Editor, Enterprise Apps
News
To make the most of going digital, organizations must transform legacy operations and invest in new digital business, according to consulting firm McKinsey.
By Jessica Davis Senior Editor, Enterprise Apps, 9/17/2019
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How Autonomous Systems are Impacting IT
Lisa Morgan, Freelance Writer
Commentary
Automation isn’t new to IT, but autonomous systems are, which is why IT leaders and professionals have to think about the value they're delivering, again.
By Lisa Morgan Freelance Writer, 9/16/2019
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Cloudera Sets Agenda for Next Era Cloud Data Analytics
Jessica Davis, Senior Editor, Enterprise Apps
News
As the dust clears from HPE's acquisition of MapR in the climax of the Hadoop story, Cloudera sets out the plan for an era of big data platforms in the cloud.
By Jessica Davis Senior Editor, Enterprise Apps, 9/13/2019
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8 AI Trends in Today's Big Enterprise
Jessica Davis, Senior Editor, Enterprise Apps
News
A new KPMG report provides an inside view into how big companies are investing in and deploying artificial intelligence and machine learning technology.
By Jessica Davis Senior Editor, Enterprise Apps, 9/11/2019
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The Internet: Privacy Enabler or Detractor?
Guest Commentary, Guest Commentary
Commentary
The Internet has created more individual privacy than any technology in human history. So why are we constantly told otherwise?
By David Moschella, Research Fellow, Leading Edge Forum , 9/11/2019
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How to Choose the Right Analytics Skills
Pierre DeBois, Founder, Zimana
Commentary
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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Enterprises, Small Business, Lead Machine Learning Activity
Jessica Davis, Senior Editor, Enterprise Apps
News
Data science and machine learning are gaining more of a foothold in organizations of all sizes, but the largest of organizations have the advantage of more resources to invest.
By Jessica Davis Senior Editor, Enterprise Apps, 9/9/2019
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Best Practices: Governing Data in Multi-Cloud Environments
Guest Commentary, Guest Commentary
Commentary
Like most things in the world of data, creating and maintaining governance policies in a multi-cloud environment requires constant compromise and negotiation.
By George Nelson, VP of cloud services, ServerCentral Turing Group , 9/9/2019
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Does AI Competence Matter?
Lisa Morgan, Freelance Writer
Commentary
AI and machine learning are becoming more commonplace, but the people using such systems may not be qualified to operate them.
By Lisa Morgan Freelance Writer, 9/6/2019
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How Do Companies Maximize the Impact of AI & Automation?
Guest Commentary, Guest Commentary
Commentary
Here are three ways IT leaders can ensure ethical deployment of AI and automation as well as achieve a positive impact on the organization.
By Neeti Mehta, SVP and Co-Founder of Automation Anywhere , 9/6/2019
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Four Ways AI Can Augment Human Capabilities
Jai Vijayan, Contributing Writer
News
By 2021, organizations worldwide will create nearly $3 trillion of business value via AI, Gartner says.
By Jai Vijayan Contributing Writer, 9/5/2019
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Behind the Buzzword: The Reality of Real Time
Guest Commentary, Guest Commentary
Commentary
To strategically control and analyze data, companies need to know which version of real time works for them. Don’t get caught up in the hype.
By Jake Stein, SVP of Stitch, Talend , 9/5/2019
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Digital Transformation: What Keeps CEOs Awake at Night?
Guest Commentary, Guest Commentary
Commentary
Here are the top four concerns bugging CEOs and board members about digital makeovers -- and fixes CIOs can apply to mitigate the impact of those worries.
By Brad Fisher, Partner and U.S. Leader for Data & Analytics, KPMG , 9/4/2019
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Python Beats R and SAS in Analytics Tool Survey
Jessica Davis, Senior Editor, Enterprise Apps
News
In Burtch Works' annual survey of the preferred tools of advanced analytics, data, machine learning, AI, and other quantitative professionals, Python pulled ahead of the pack.
By Jessica Davis Senior Editor, Enterprise Apps, 9/3/2019
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Gain Cognitive Diversity Through Capstone Projects
Guest Commentary, Guest Commentary
Commentary
IT teams and other business divisions can enhance their abilities to tackle complex data or artificial intelligence challenges (and more) by working with student teams.
By Joseph Byrum, Chief Data Scientist, Principal Financial Group , 9/3/2019
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Cloud 2.0: A New Era for Public Cloud
Crystal Bedell, Technology Writer
Commentary
With new technologies and cloud offerings available almost by the day, the impetus for cloud adoption is stronger than ever before.
By Crystal Bedell Technology Writer, 9/1/2019
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IBM Puts Red Hat OpenShift to Work on Sports Data at US Open
Joao-Pierre S. Ruth, Senior Writer
News
In its latest outing at the tennis tournament, IBM brings technology from Red Hat to the courts to process data in the public cloud.
By Joao-Pierre S. Ruth Senior Writer, 8/30/2019
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Do Self-Service and Low-Code Curb Shadow IT?
Lisa Morgan, Freelance Writer
Commentary
Self-service may help reduce shadow IT, but it won’t eliminate it. Business-IT relationships help.
By Lisa Morgan Freelance Writer, 8/28/2019
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Banks Ramp Up Machine Learning, Work Through Data Challenges
Jessica Davis, Senior Editor, Enterprise Apps
News
Machine learning in pilot and production is growing in many industries, and finance is no exception, but there are concerns.
By Jessica Davis Senior Editor, Enterprise Apps, 8/27/2019
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State of the Cloud
State of the Cloud
Cloud has drastically changed how IT organizations consume and deploy services in the digital age. This research report will delve into public, private and hybrid cloud adoption trends, with a special focus on infrastructure as a service and its role in the enterprise. Find out the challenges organizations are experiencing, and the technologies and strategies they are using to manage and mitigate those challenges today.
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Editors' Choice
News
IBM Puts Red Hat OpenShift to Work on Sports Data at US Open
Joao-Pierre S. Ruth, Senior Writer,  8/30/2019
Slideshows
IT Careers: 10 Places to Look for Great Developers
Cynthia Harvey, Freelance Journalist, InformationWeek,  9/4/2019
Commentary
Cloud 2.0: A New Era for Public Cloud
Crystal Bedell, Technology Writer,  9/1/2019
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