Big Data Software & Platforms News, Analysis, & Advice - InformationWeek
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News & Commentary
Build Reliability into Autonomous and Intelligent Systems
Lisa Morgan, Freelance Writer
Commentary
When building and using autonomous and intelligent systems, it’s important to know they’re behaving reliably, because if things go wrong, they can do so at scale, fast.
By Lisa Morgan Freelance Writer, 12/6/2018
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Data Privacy, Ethics: The Time Has Arrived
Jessica Davis,  Senior Editor, Enterprise Apps
News
Cloudera Chief Architect and Hadoop creator Doug Cutting says that the time has arrived for data privacy and ethics rules.
By Jessica Davis Senior Editor, Enterprise Apps, 12/3/2018
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Amazon AWS Themes: Faster, Easier, Cheaper
Lisa Morgan, Freelance Writer
News
Customers are constantly asking Amazon to help them accomplish more in less time at lower costs. Amazon CEO Andy Jassy said the company is listening. Here’s what AWS presented as proof.
By Lisa Morgan Freelance Writer, 11/29/2018
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Big Data Governance – Metadata Is the Key
Guest Commentary, Guest Commentary
Commentary
A new approach to data governance is needed in the age of big data, when data is scattered throughout the enterprise in many formats, and coming from many sources.
By Aroop Maliakkal Padmanabhan, Senior Manager, and Tiffany Nguyen, Senior Software Engineer, eBay , 11/29/2018
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Using Blockchain to Support Trustworthy Transactions on the IoT
James Kobielus, Lead Analyst, SiliconANGLE Wikibon
Commentary
Recent computer industry developments set the stage for demonstrations of how blockchain can help to turn Internet of Things networks into trusted environments.
By James Kobielus Lead Analyst, SiliconANGLE Wikibon, 11/27/2018
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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. 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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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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Don’t 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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More Stories
News
6 Tech Trends for the Enterprise in 2019
Calvin Hennick, Technology Writer,  11/16/2018
Commentary
Tech Vendors to Watch in 2019
Susan Fogarty, Editor in Chief,  11/13/2018
Commentary
How Automation Empowers the CIO to Think Outside the IT Department
Guest Commentary, Guest Commentary,  11/20/2018
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