Data Mill
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MIT aims to pry open 'black box' of machine learning systems
MIT's Sam Madden said machine learning algorithms are more dark art than science. A new initiative at MIT hopes to change that. The Data Mill reports. Continue Reading
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Blockchain use cases proliferate, but to whose benefit not yet clear
Blockchain use cases are cutting across industries and making use of a spectrum of technologies. Is it time to talk standards? Continue Reading
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Cloud-based robotics could be an AI game changer
Gill Pratt, CEO at the Toyota Research Institute, explains why it's better for robots to have their heads in the clouds. Continue Reading
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Roboticists: Universal basic income demands attention
MIT Tech Conference: Technologists and academics debate the merits of universal basic income in the face of automation. Continue Reading
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Looking to get hyperpersonal with customers? Better get AI
Alfred Essa from McGraw-Hill and Mike Gualtieri from Forrester on serving the customer of one at Spark Summit East. Continue Reading
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Data transparency is the lifeblood of new information economy
Many companies have invested in the analytics infrastructure that helps turn data into a business asset. Now what? Gartner's Debra Logan offers insight. Continue Reading
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Five analytics priorities for 2017
The International Institute for Analytics recommends embracing AI, clearly defining roles, and finding a balance between experimentation and deployment. Continue Reading
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International Institute for Analytics' five analytics predictions
AI classification systems will be created, predictive models will be scrutinized and analytics teams will be decentralized. Welcome to analytics 2017. Continue Reading
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Renew vs. replace software? CFOs say it depends on business capabilities
CFOs discussed how they decide whether to keep or replace software at the recent MIT Sloan CFO Summit. Cloud looms large in their decisions, as do business capabilities. Continue Reading
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Companies will 'get serious' about AI technology in 2017
AI tech at work: The Data Mill reports from EmTech. Continue Reading
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IoT data analysis may require hybrid approach
Where should companies analyze their IoT data, and what is AnalyticOps? The Data Mill reports. Continue Reading
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Backlash against a bimodal IT strategy
A new report from Forrester cautions CIOs against bimodal IT, contending the two-tiered approach could create more problems than it solves. Continue Reading
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Augmented and virtual reality make a play for the enterprise
Augmented and virtual reality are breaking out of the consumer space and into the enterprise. Deloitte explains why it's a good time for CIOs to get ready: The Data Mill reports. Continue Reading
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Five analytics priorities for 2016
Looking to sharpen your analytics programs in the new year? Follow this cheat sheet on how to win with analytics in 2016. Continue Reading
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Cognitive technology, microservices top 2016 analytics trends list
The International Institute for Analytics released its annual list of predictions, which highlights the rise of analytical microservices and data curation tools. Continue Reading
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Prospects are bright for CIOs and chief data officers who work together
CIOs and chief data officers will own data strategy, if they can learn to play nice. Plus, is the United Airlines customer engagement app cool or creepy? And a gimmick to build C-suite trust: The Data Mill reports. Continue Reading
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Data-driven decisions win in blackjack -- and in business
Still debating the merits of gut feel vs. data-driven decisions? Take a page from Jeff Ma's book, which tells how he used data to win millions at blackjack. Continue Reading
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C-level execs should keep tabs on IBM-Weather Co. deal
IBM’s plans to acquire The Weather Co. underscores the importance of IoT and predictive analytics. Continue Reading
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Pixar president on why building a 'fail fast' culture is hard
The duality of failure, IBM's bet on cognitive computing, and the difference between a data officer and an analytics officer: The Data Mill reports. Continue Reading
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Pixar president on why building a 'fail fast' culture is hard
The duality of failure, IBM's bet on cognitive computing, and the difference between a data officer and an analytics officer: The Data Mill reports. Continue Reading