Big Data Analytics News, Analysis, & Advice - InformationWeek
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Data Management // Big Data Analytics
News & Commentary
MIT and IEEE Partner to Advance Extended Intelligence
Lisa Morgan, Freelance Writer
Commentary
Innovation is entering a new stage of maturity as a range of academic and industry organizations ponder the impacts of autonomous and intelligent systems.
By Lisa Morgan Freelance Writer, 7/17/2018
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CDAOs Drive Change by Blurring Lines, not Drawing Them
Guest Commentary, Guest Commentary
Commentary
The buck stops with the chief data/analytics officer in modern business intelligence.
By Josh Parenteau, Director of Market Intelligence, Tableau , 7/17/2018
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TRAC Intermodal's Journey to Data, Analytics, Cloud
Jessica Davis,  Senior Editor, Enterprise Apps
News
The IT team at this provider of chassis for metal shipping containers has transformed its data infrastructure from spreadsheets and reports to a Hadoop data lake and dashboards.
By Jessica Davis Senior Editor, Enterprise Apps, 7/16/2018
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Four C-level Analytics Secrets to Grow Revenue
Guest Commentary, Guest Commentary
Commentary
Putting data and analytics tools into the hands of business users is one key to developing a data-driven organization.
By Ken Tacelli, Chief Operating Officer, Datawatch , 7/13/2018
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Data Transparency for a Recovering Detroit
InformationWeek,
SatireVideo
Detroit CIO, Beth Niblock, explains the process of creating data transparency in the wake of Detroit's bankruptcy.
By InformationWeek , 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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Clear the Real-World Barriers to Better Data Utilization
Bill Kleyman, Writer/Blogger/Speaker
Commentary
Success with IT initiatives isn't just about creating data; it's about making good use of that data.
By Bill Kleyman Writer/Blogger/Speaker, 7/11/2018
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Report: AI Is More Hype Than Reality
Lisa Morgan, Freelance Writer
Satire
The 2018 Interop ITX State of AI report includes some sobering statistics that will sound familiar to many business and IT leaders.
By Lisa Morgan Freelance Writer, 7/10/2018
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The Truth About Blockchain
Jessica Davis,  Senior Editor, Enterprise Apps
News
The distributed ledger technology called blockchain is getting a lot of attention right now. Is it the right solution for your IT project?
By Jessica Davis Senior Editor, Enterprise Apps, 7/9/2018
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Job Loss and AI: Startups Accentuate the Positive
Jessica Davis,  Senior Editor, Enterprise Apps
News
A new report from Village Capital highlights the opportunities for startups to contribute to a positive future for workers in a world re-shaped by the input of artificial intelligence and automation.
By Jessica Davis Senior Editor, Enterprise Apps, 7/6/2018
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Fundings Provide a Peek into Emerging Tech
James M. Connolly, Executive Managing Editor, InformationWeekEditor in Chief
News
Venture and angel fundings highlight where new technologies and companies are on the cusp of growth.
By James M. Connolly Executive Managing Editor, InformationWeekEditor in Chief, 7/3/2018
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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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10 Hottest Job Skills for Young IT Workers
Cynthia Harvey, Contributor, NetworkComputing
News
Technology job seekers under 40 are looking for positions that include these keywords.
By Cynthia Harvey Contributor, NetworkComputing, 6/28/2018
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Getting into Analytics: One Professional's Story, Advice
Jessica Davis,  Senior Editor, Enterprise Apps
News
Aimee Lessard didn't start off as a high-ranking analyst with the intelligence community and data analytics private sector companies. She learned on the job. Here are some of her recommendations for how to get started with analytics, machine learning and AI.
By Jessica Davis Senior Editor, Enterprise Apps, 6/26/2018
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3 Things Execs Should Know About Machine Learning
Guest Commentary, Guest Commentary
Commentary
Implementing machine learning isn't just about the technology; it requires organizational changes too.
By Girish Reddy, co-founder and CTO, SpringML , 6/25/2018
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Doing Computer Vision Without Cameras
James Kobielus, Lead Analyst, SiliconANGLE Wikibon
Commentary
The way you walk, the way radio waves reflect off your body, and your body's thermal signature all play into the ability for AI to identify you without the use of a camera.
By James Kobielus Lead Analyst, SiliconANGLE Wikibon, 6/25/2018
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Teradata Suit Says SAP Stole Tech Behind HANA
Jessica Davis,  Senior Editor, Enterprise Apps
News
A lawsuit filed by Teradata alleges that SAP lured the company into a joint venture to develop a bridge database for analytics. Soon after it was created and proven in a customer site, SAP pulled the plug. But a few days later it introduced HANA, which did the same thing.
By Jessica Davis Senior Editor, Enterprise Apps, 6/21/2018
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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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