Big Data Software & Platforms News, Analysis, & Advice - InformationWeek
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News & Commentary
Why Mixed Reality is Messed Up, for Now
Lisa Morgan, Freelance Writer
Commentary
Augmented reality (AR) and virtual reality (VR) were supposed to transform user experiences, but technologies have had false and soft starts in various industries. Here's why.
By Lisa Morgan Freelance Writer, 11/15/2018
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Tech Vendors to Watch in 2019
Susan Fogarty, Editor in Chief
Commentary
Our listings of the hottest vendors in cloud, DevOps, infrastructure, security, and data and analytics can help streamline your IT product selection process.
By Susan Fogarty Editor in Chief, 11/13/2018
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5 Predictions for 2019: Business Value From Data
Jessica Davis,  Senior Editor, Enterprise Apps
News
You'll get more value out of your data projects and programs in 2019, according to five predictions from Forrester Research.
By Jessica Davis Senior Editor, Enterprise Apps, 11/6/2018
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Who's Hot in Data & Analytics: Top Vendors to Watch
Lisa Morgan, Freelance Writer
Commentary
Organizations are using data to facilitate digital transformation, making data analytics a booming market. We highlight vendors that are addressing enterprise challenges with products for advanced analytics, machine learning, and data governance.
By Lisa Morgan Freelance Writer, 11/6/2018
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AI and the Death of 'Employment for Life'
James M. Connolly, Executive Managing Editor, InformationWeekEditor in Chief
Commentary
When AI brings about job losses and changes our careers, remember that we've been through this before, time and again.
By James M. Connolly Executive Managing Editor, InformationWeekEditor in Chief, 11/1/2018
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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. Hereís 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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Structure Your Analytics Team for Success in the Age of AI
Guest Commentary, Guest Commentary
Commentary
The data team structure that your company has used for a few years needs to turn its focus to results and putting analytics tools in the hands of business units.
By Doug Bordonaro, Chief Data Evangelist, ThoughtSpot , 10/17/2018
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The Transformation of Healthcare with AI and Machine Learning
Guest Commentary, Guest Commentary
Commentary
Artificial intelligence and machine learning already are having an impact in a sector that concerns all of us, healthcare.
By Mark Johnston, Director of Global Business Development, Healthcare, Life Sciences and Agricultural Technology, AWS , 10/16/2018
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Donít Take the ACLU Report on Face Recognition at Face Value
Guest Commentary, Guest Commentary
Commentary
Face recognition can be a valuable tool that makes our lives easier and safer, but it has to be done right.
By Bhargav Avasarala, Machine Learning Lead, Ever AI , 10/8/2018
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Cloudera Hortonworks Merger Aimed at Enterprise
Jessica Davis,  Senior Editor, Enterprise Apps
News
Two of the big three independent Hadoop distributors -- Cloudera and Hortonworks -- are merging, and the big winner may be the enterprise.
By Jessica Davis Senior Editor, Enterprise Apps, 10/7/2018
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ADP Harnesses Data for HR Insights
Jessica Davis,  Senior Editor, Enterprise Apps
News
ADP has created a data benchmarking service for salary, compensation, and other HR needs.
By Jessica Davis Senior Editor, Enterprise Apps, 10/4/2018
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Blockchain: 5 Use Cases for the Enterprise
Jessica Davis,  Senior Editor, Enterprise Apps
News
Everybody talks about blockchain, but is anybody really doing it? Here's a look at five use cases across industries.
By Jessica Davis Senior Editor, Enterprise Apps, 9/28/2018
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Predictive Analytics 101: Getting Started and Avoiding Mishaps
Guest Commentary, Guest Commentary
Commentary
Predictive analytics, offering a data-enabled view into what is likely to happen, are key to driving organizational change.
By Kris Hutton, Director of Product Management, ACL , 9/26/2018
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Microsoft, Adobe, SAP Launch Open Data Initiative
Jessica Davis,  Senior Editor, Enterprise Apps
News
Microsoft, Adobe, and SAP will enable a common data model in a Microsoft Azure-based data lake that allows for interoperability of data among platforms from all three companies.
By Jessica Davis Senior Editor, Enterprise Apps, 9/25/2018
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Tools Tackle AI's Bias, Trust Problem
Jessica Davis,  Senior Editor, Enterprise Apps
News
AI and machine learning deployments are hitting the mainstream in enterprises, but executives still hesitate to blindly accept insights from inside the "black box" without seeing the logic behind them.
By Jessica Davis Senior Editor, Enterprise Apps, 9/20/2018
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How Enterprises Can Scale their Machine Learning
Jessica Davis,  Senior Editor, Enterprise Apps
News
Enterprise organizations are already seeing benefits from their machine learning practices, but Forrester Research says they've only scratched the surface.
By Jessica Davis Senior Editor, Enterprise Apps, 9/19/2018
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Building a Smart City Doesnít Have a Common Blueprint
Guest Commentary, Guest Commentary
Commentary
While there is no exact definition of what a smart city must offer its citizens, there is also no shortage of "smart" initiatives.
By Jean Turgeon, VP and Chief Technologist, Avaya , 9/18/2018
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Ethics, Privacy Issues Highlight Strata Data Conference
Jessica Davis,  Senior Editor, Enterprise Apps
News
Machine learning, artificial intelligence, and unified data platforms are the focus for data scientists attending the Strata Data Conference in New York.
By Jessica Davis Senior Editor, Enterprise Apps, 9/13/2018
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Health Data Sharing Will Follow the Open Banking Model
Guest Commentary, Guest Commentary
Commentary
The trend toward API-based banking offers a model for health records, giving patients access to and control over their personal health data.
By Sarah Squire, Senior Technical Architect, Ping Identity , 9/12/2018
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Help Wanted: Data Engineers Who Fill Enterprise Need
Jessica Davis,  Senior Editor, Enterprise Apps
News
Data engineers build the infrastructure and tools that data scientists and business users need to perform analysis and create machine learning models. Maybe that's why demand is high for this emerging category of IT pro.
By Jessica Davis Senior Editor, Enterprise Apps, 9/6/2018
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More Stories
Commentary
Tech Vendors to Watch in 2019
Susan Fogarty, Editor in Chief,  11/13/2018
Commentary
Getting DevOps Wrong: Top 5 Mistakes Organizations Make
Bill Kleyman, Writer/Blogger/Speaker,  11/2/2018
Commentary
AI & Machine Learning: An Enterprise Guide
James M. Connolly, Executive Managing Editor, InformationWeekEditor in Chief,  9/27/2018
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