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Data Governance in the Age of Exponential Technology
Guest Commentary, Guest Commentary
Commentary
The emerging data-hungry and data-generating technologies demand two types of data governance: security, and the need for holistic, enterprise-wide governance, rather than governance on a silo-by-silo basis.
By Amit Walia, President of Products and Strategic Ecosystems, Informatica , 12/28/2018
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Modern Advances in Disaster Alert Technology
Emily Johnson, Digital Content Editor, InformationWeek
News
When lives are on the line information can make the difference between survival and tragedy. Here’s a look at the technology organizations are using to communicate with the public and employees before, during, and after a disaster occurs.
By Emily Johnson Digital Content Editor, InformationWeek, 10/22/2018
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10 Top Strategic Predictions for 2019
Jessica Davis,  Senior Editor, Enterprise Apps
News
Blockchain, AI, facial recognition? Here are Gartner's top strategic predictions for 2019 and beyond, delivered during the Gartner Symposium/ITExpo.
By Jessica Davis Senior Editor, Enterprise Apps, 10/17/2018
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A Data-Centric Approach to the US Census
James M. Connolly, Executive Managing Editor, InformationWeekEditor in Chief
News
There might be a better, knowledge management-based, way to conduct the US Census, according to a group of university researchers.
By James M. Connolly Executive Managing Editor, InformationWeekEditor in Chief, 10/12/2018
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How Analytics Supports Value-Based Healthcare
Jessica Davis,  Senior Editor, Enterprise Apps
News
Value-based healthcare is changing the business model for doctors and hospitals. Here's how analytics is helping these practices change the way they work.
By Jessica Davis Senior Editor, Enterprise Apps, 8/16/2018
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Most Health Organizations Can't Ensure Responsible AI Use
John Edwards, Technology Journalist & Author
News
A report finds that most industry execs haven't yet committed to investing in AI data verification technology.
By John Edwards Technology Journalist & Author, 7/12/2018
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Novartis Seeks Hidden Cures in Machine Learning, AI
Jessica Davis,  Senior Editor, Enterprise Apps
News
Novartis' Global Drug Development has completed the first phase of a digital transformation that has enabled it to better leverage one of its best assets -- data.
By Jessica Davis Senior Editor, Enterprise Apps, 7/11/2018
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How to Woo Data Scientists to Your Enterprise
Jessica Davis,  Senior Editor, Enterprise Apps
News
What factors motivate data scientists and other data analytics professionals to take new jobs? A new survey looks at factors including salary, opportunities to learn, challenging work, and benefits.
By Jessica Davis Senior Editor, Enterprise Apps, 7/2/2018
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The Big Data Question: To Share or Not To Share
Jessica Davis,  Senior Editor, Enterprise Apps
News
Your business's unique data may be your enterprise's greatest asset. Should you share it with partners and vendors, or should you keep it proprietary?
By Jessica Davis Senior Editor, Enterprise Apps, 6/28/2018
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Big Data in the Cloud: Avoiding Vendor Lock-in
Jessica Davis,  Senior Editor, Enterprise Apps
News
More enterprise application and big data vendors are pursuing a cloud-agnostic strategy -- supporting AWS, Microsoft Azure, and Google Cloud. Big data platform provider Hortonworks is taking that strategy one step farther.
By Jessica Davis Senior Editor, Enterprise Apps, 6/20/2018
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The Right Fit: Choosing an AI Strategy
Jessica Davis,  Senior Editor, Enterprise Apps
News
Dun & Bradstreet is transforming its own internal AI and analytics operations, even as it helps customers with their analytics and machine learning transformations.
By Jessica Davis Senior Editor, Enterprise Apps, 6/19/2018
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Self-taught Kaggle Champ: Engineering to Data Science to AI
Jessica Davis,  Senior Editor, Enterprise Apps
News
You don't need a degree in data science to become a top professional in the field. Here's how one Kaggle data science champion taught himself. Now Gilberto Titericz is moving from Airbnb to AI startup Ople.
By Jessica Davis Senior Editor, Enterprise Apps, 6/15/2018
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IBM Bets On Private Cloud Data Platform
Jessica Davis,  Senior Editor, Enterprise Apps
News
Assembling the pieces to create a modern platform for data management, data governance, and data science can be complex. IBM says it's done the heavy lifting with a private, on-premises cloud platform to do the work.
By Jessica Davis Senior Editor, Enterprise Apps, 5/31/2018
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Big Data Platforms Evolve for Analytics, Machine Learning
Jessica Davis,  Senior Editor, Enterprise Apps
News
Machine learning and advanced analytics are now the centerpiece for companies that got their start as Hadoop distributors.
By Jessica Davis Senior Editor, Enterprise Apps, 5/24/2018
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Debiasing Our Statistical Algorithms Down to Their Roots
James Kobielus, Lead Analyst, SiliconANGLE Wikibon
Commentary
Eliminating bias in the data and algorithms that drive artificial intelligence and machine learning initiatives requires constant vigilance on the part of not only data scientists but up and down the corporate ranks.
By James Kobielus Lead Analyst, SiliconANGLE Wikibon, 5/23/2018
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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, Executive Vice President of Digital Solutions, Switch; Writer/Speaker
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 Executive Vice President of Digital Solutions, Switch; Writer/Speaker, 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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More Stories
Commentary
The Staying Power of Legacy Systems
Mary E. Shacklett, Mary E. Shacklett,  4/15/2019
Commentary
Q&A: Red Hat's Robert Kratky Discusses Essentials of Docs
Joao-Pierre S. Ruth, Senior Writer,  4/15/2019
Commentary
How Cloud Shifts Security Balance of Power to the Good Guys
Guest Commentary, Guest Commentary,  4/11/2019
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