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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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IoT, Automation and Domopalooza 2019

David Menninger's Analyst Perspectives

Domopalooza 2019 marked the first annual user conference after Domo went public, but the energy, excitement and new feature announcements have not slowed.

IoT 124
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IoT Adoption in Healthcare Brings Security Opportunities

CIO Business Intelligence

At the end of the day, it’s all about patient outcomes and how to improve the delivery of care, so this kind of IoT adoption in healthcare brings opportunities that can be life-changing, as well as simply being operationally sound. Why Medical IoT Devices Are at Risk There are a number of reasons why medical IoT devices are at risk.

IoT 100
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Highlights from TensorFlow World in Santa Clara, California 2019

O'Reilly on Data

Theodore Summe offers a glimpse into how Twitter employs machine learning throughout its product. Anna Roth discusses human and technical factors and suggests future directions for training machine learning models. Watch “ TensorFlow.js: Bringing machine learning to JavaScript “ MLIR: Accelerating AI.

IoT 190
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New DoE Program Drives Demand For Machine Learning Programmers

Smart Data Collective

Machine learning is leading to numerous changes in the energy industry. The Department of Energy recently announced that it is taking steps to accelerate the integration of machine learning technology in energy research and development. Machine learning is already disrupting the global energy industry on a massive scale.

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Analytics Insights and Careers at the Speed of Data

Rocket-Powered Data Science

One CIO said it this way , “If CIOs invested in machine learning three years ago, they would have wasted their money. One of the primary drivers for the phenomenal growth in dynamic real-time data analytics today and in the coming decade is the Internet of Things (IoT) and its sibling the Industrial IoT (IIoT).

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New Online Data Summit Coming Fall 2019

Data Science 101

The focus of the event is data in the cloud (migrating, storing and machine learning). Some of the topics from the summit include: Data Science IoT Streaming Data AI Data Visualization. Immerse yourself with the platforms which make modern Data Science and Machine Learning possible. I hope to see you there.

IoT 95