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News & Commentary
GSK Updates Analytics Platform for Faster Drug Development
Jessica Davis,  Senior Editor, Enterprise Apps
News
GSK began an overhaul transformation of its R&D data and analytics infrastructure three years ago. Here's what it looks like today.
By Jessica Davis Senior Editor, Enterprise Apps, 5/21/2018
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How to Prepare for the Machine-Aided Future
Lisa Morgan, Freelance Writer
Commentary
More business processes and highly-specialized tasks are being targeted for automation with the goal of making people and companies more efficient. If you haven't considered how intelligent automation will affect your career and your company, and even if you have, following are some points to consider that may help you navigate the issue.
By Lisa Morgan Freelance Writer, 5/21/2018
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5 Traits Organizations Need to Get Value from Machine Learning
Jessica Davis,  Senior Editor, Enterprise Apps
News
A new report identifies the traits of organizations that are getting value -- higher revenues and profits -- due to their machine learning initiatives. Does your enterprise have what it takes?
By Jessica Davis Senior Editor, Enterprise Apps, 5/18/2018
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Leverage Data to Align Business and IT
Bill Kleyman, Chief Technology Officer, MTM Technologies
Satire
A takeaway from an Interop ITX panel discussion: Data isn't a commodity to work with, but is a vehicle for unifying IT and the business at large.
By Bill Kleyman Chief Technology Officer, MTM Technologies, 5/16/2018
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How to Spin Up an AI Flywheel with Data
Guest Commentary, Guest Commentary
Commentary
Gather as much data as you can about your customers, optimize metrics to address business questions, and build out your AI-based applications.
By Sameet Agarwal, Vice President of Engineering, Snowflake Computing , 4/30/2018
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AI Challenge: Achieving Artificial Empathy
Lisa Morgan, Freelance Writer
Commentary
As AI is woven deeper into different types of software and business processes, the success of it, particularly from customer experience and personalization standpoints, depends on its ability to recognize emotion and act accordingly. Will machines be able to achieve artificial empathy? Have they already? Following are some of the challenges and opportunities.
By Lisa Morgan Freelance Writer, 4/25/2018
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4 Types of Machine Intelligence You Should Know
Lisa Morgan, Freelance Writer
Satire
Cognitive computing, AI, machine learning, and deep learning are often used to describe the same thing, when they actually differ. We explain what the differences are so you can better understand how the pieces fit together.
By Lisa Morgan Freelance Writer, 4/10/2018
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Facebook's Cambridge Analytica Trouble Highlights IT Data Privacy Concerns
Jessica Davis,  Senior Editor, Enterprise Apps
News
Facebook has lost billions in market value, been targeted for investigation by 37 states and the FTC, and many users are threatening to delete their accounts. It's past time for enterprise CIOs to stop ignoring customer data privacy concerns.
By Jessica Davis Senior Editor, Enterprise Apps, 3/29/2018
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Fixing Hacks Has Deadly Impact on Hospitals
Curtis Franklin Jr., Senior Editor at Dark Reading
News
A study from Vanderbilt University shows that remediating data breaches has a very real impact on mortality rates at hospitals.
By Curtis Franklin Jr. Senior Editor at Dark Reading, 3/28/2018
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My Algorithm is Better than Yours
Jen Underwood, Impact Analytix
Satire
New tools allow business users -- not just data scientists -- to leverage algorithms and venture into machine learning. But, handle with care because the choice of bad data means bad results.
By Jen Underwood Impact Analytix, 3/28/2018
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Beware the Dangers of 'Drive Thru' Analytics
John Edwards, Technology Journalist & Author
Satire
Cutting corners isn't the path to analytics success. Data science requires an enterprise commitment.
By John Edwards Technology Journalist & Author, 3/15/2018
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How Valuable Is Your Company's Data?
Lisa Morgan, Freelance Writer
Commentary
Organizations consider data one of their most valuable assets, but exactly, how much is that data worth? Most business leaders can't answer the question yet. But venture capitalists, financial analysts and board members increasingly want to know.
By Lisa Morgan Freelance Writer, 3/14/2018
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Why Operationalizing Analytics is So Difficult
Lisa Morgan, Freelance Writer
Commentary
Plenty of companies have plenty of data and plenty of analytics tools, but they fall short when it comes to converting analytics results into action.
By Lisa Morgan Freelance Writer, 3/2/2018
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4 Ways Companies Impede Their Analytics Efforts
Lisa Morgan, Freelance Writer
Commentary
Consider these four barriers to success when moving forward with your data analytics initiative.
By Lisa Morgan Freelance Writer, 2/28/2018
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Setting up Your OT and Data Teams for Success
Guest Commentary, Guest Commentary
Commentary
Organizations implementing the Industrial Internet of Things can't burden data scientists with cleaning up huge volumes of dirty data.
By Matthew C. King, IIoT Solutions Expert, FogHorn Systems , 2/26/2018
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Donít Lift and Shift Big Data Analytics, Lift and Optimize
Jen Underwood, Impact Analytix
Satire
Advancing through the digital era with a greater use of self-service analytics doesn't mean that you have to trash proven analytics tools and techniques.
By Jen Underwood Impact Analytix, 2/26/2018
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Avoid These Pitfalls to Get Maximum Value from Data Science
Guest Commentary, Guest Commentary
Commentary
Data science techniques are getting better, cheaper, and easier to use. Even small and medium sized organizations can now tap these technologies. But, if you fail to properly introduce, support, and integrate data science capabilities, a lot of money can be wasted.
By H.P. Bunaes, Chief Data Officer , 2/21/2018
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Unlock the Value: From Data Quality to Artificial Intelligence
Jessica Davis,  Senior Editor, Enterprise Apps
Satire
Data quality, data privacy, and advanced technologies such as AI, machine learning, neural networks, and more, are of top concern to data analytics pros and IT managers, says Karen Lůpez, Data & Analytics Track Chair for Interop ITX 2018.
By Jessica Davis Senior Editor, Enterprise Apps, 2/20/2018
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5 Tech Trends for the Enterprise in 2018
Jessica Davis,  Senior Editor, Enterprise Apps
News
The Accenture Vision 2018 report has identified five trends for CIOs and other executives for the year ahead, including citizen AI, extended reality, and data veracity.
By Jessica Davis Senior Editor, Enterprise Apps, 2/15/2018
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The Future of Information Technology is Intelligence
Guest Commentary, Guest Commentary
Commentary
Traditional IT has to make way for the intelligence-based business model.
By Ben Lamm, Co-founder and CEO of Conversable , 2/12/2018
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