Big Data Software & Platforms News, Analysis, & Advice - InformationWeek
IoT
IoT
Data Management // Software Platforms
News & Commentary
How Retail is Advancing AI, IoT
Jessica Davis,  Senior Editor, Enterprise Apps
News
Combining computer vision, IoT, and AI creates a system that delivers more value than those three technologies in isolation, as the retail industry is highlighting.
By Jessica Davis Senior Editor, Enterprise Apps, 1/18/2019
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Now That You Have IoT, How Do You Manage It?
Mary E. Shacklett, Mary E. Shacklett
Commentary
A key to success with an IoT strategy is to keep the IT group involved in the process even at the pilot stage.
By Mary E. Shacklett Mary E. Shacklett, 1/10/2019
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AI in Production: A Roadmap for Success
Jessica Davis,  Senior Editor, Enterprise Apps
News
Plenty of enterprises have run pilots or small-scale projects that leverage machine learning and AI. Scaling those to high-value, large-scale data projects can get complicated.
By Jessica Davis Senior Editor, Enterprise Apps, 1/3/2019
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IoT: Living on the Edge
Guest Commentary, Guest Commentary
Commentary
Where is your data when you need it? Edge computing offers an alternative to processing all data in the cloud or the data center.
By Kevin Meany, Co-Founder and CTO, Versatile , 12/31/2018
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Predictions for Artificial Intelligence in 2019
James Kobielus, Lead Analyst, SiliconANGLE Wikibon
Commentary
From issues such as privacy and data bias regulation to model training and self-service AI, you can expect a broad range of key advances in the artificial intelligence space.
By James Kobielus Lead Analyst, SiliconANGLE Wikibon, 12/18/2018
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5 Machine Learning Resolutions for 2019
Lisa Morgan, Freelance Writer
Commentary
More organizations are using machine learning for competitive reasons, but their results are mixed. It turns out there are better -- and worse -- ways of approaching it. If you want to improve the outcome of your efforts in 2019, consider these points.
By Lisa Morgan Freelance Writer, 12/13/2018
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The New Job Description for Data Scientists
Rich Wagner, President and CEO of Prevedere
Commentary
As new tools help to automate data collection and cleaning, the role of data scientists is evolving into one where they deliver more value to their organizations.
By Rich Wagner President and CEO of Prevedere, 12/12/2018
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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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More Stories
News
5 Data and AI Trends for 2019
Jessica Davis, Senior Editor, Enterprise Apps,  1/7/2019
Commentary
Act Now to Reap Automation Benefits Later
Guest Commentary, Guest Commentary,  1/3/2019
Commentary
Cloud Trends: Look Behind the Numbers
James M. Connolly, Executive Managing Editor, InformationWeekEditor in Chief,  12/31/2018
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