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Artificial intelligence and machine learning adoption in European enterprise

O'Reilly on Data

In a recent survey , we explored how companies were adjusting to the growing importance of machine learning and analytics, while also preparing for the explosion in the number of data sources. As interest in machine learning (ML) and AI grow, organizations are realizing that model building is but one aspect they need to plan for.

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IRM Is Essential for Digital Transformation Success

John Wheeler

Last week, I had the distinct privilege to join my Gartner colleagues from our Risk Management Leadership Council in presenting the Q4 2018 Emerging Risk Report. We hosted more than 500 risk leaders across the globe in our exploration of the most critical risks.

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Top 10 IT & Technology Buzzwords You Won’t Be Able To Avoid In 2020

datapine

An important part of artificial intelligence comprises machine learning, and more specifically deep learning – that trend promises more powerful and fast machine learning. Likewise, 2018 was the year of virtual assistants: Alexa, Cortana, all of them have taken the consumers’ market by storm.

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Customer Experience and Emerging Technologies: My CXChat Summary on Artificial Intelligence, Machine Learning and the Customer

Business Over Broadway

I was invited as a guest in a weekly tweet chat that is hosted by Annette Franz and Sue Duris. For those of you who are interested, here is Gartner’s latest (2018) hype cycle on emerging technologies. IoT Artificial Intelligence. The chat (#CXChat) was on customer experience and emerging technologies.

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Meet the newest Data Superheros: The Sixth Annual Data Impact Awards Finalists Are…

Cloudera

From AI models that power retail customer decision engines to utility meter analysis that disables underperforming gas turbines, these finalists demonstrate how machine learning and analytics have become mission-critical to organizations around the world. Enterprise Machine Learning. TECHNICAL IMPACT.

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How The Cloud Made ‘Data-Driven Culture’ Possible | Part 1

BizAcuity

The platform is built on S3 and EC2 using a hosted Hadoop framework. Microsoft launches Azure ML Studio for machine learning capabilities on the cloud. AWS rolls out SageMaker, designed to build, train, test and deploy machine learning (ML) models. Microsoft starts to offer Azure IoT Central and IoT Edge.

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And the winners are…. Congratulations to the Sixth Annual Data Impact Awards winners

Cloudera

The week is typically filled with exciting announcements from Cloudera and many partners and others in the data management, machine learning and analytics industry. — Mike Barlow, author of “Learning to Love Data Science” (O’Reilly Media). Enterprise Machine Learning: . Technical Impact.