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3 Compelling Ways IoT is Changing the Solar Industry

Smart Data Collective

Many industries are helping drive growth for the IoT. More solar manufacturers are turning to the IoT to get the most output for their customers. This is why there is a need for expanding IoT applications in the power sector. billion in 2019 and is growing rapidly. One of the most significant is the solar energy sector.

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Highlights from TensorFlow World in Santa Clara, California 2019

O'Reilly on Data

Watch “ Personalization of Spotify Home and TensorFlow “ TensorFlow Hub: The platform to share and discover pretrained models for TensorFlow. Mike Liang discusses TensorFlow Hub, a platform where developers can share and discover pretrained models and benefit from transfer learning.

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A 5D model to assess your IoT readiness

Cloudera

The number one challenge that enterprises struggle with their IoT implementation is not being able to measure if they are successful or not with it. Most of the enterprises start an IoT initiative without assessing their potential prior hand to be able to complete it. The five dimensions of the readiness model are –.

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Analytics Insights and Careers at the Speed of Data

Rocket-Powered Data Science

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). One group has declared , “IoT companies will dominate the 2020s: Prepare your resume!” trillion by 2030. trillion by 2030.”.

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Top 10 Data Governance Predictions for 2019

erwin

We’re making the following data governance predictions for 2019: Top 10 Data Governance Predictions for 2019. GDPR fines are coming and they will be massive : Perhaps one of the safest data governance predictions for 2019 is the coming clamp down on GDPR enforcement. Data is no longer just an IT issue.

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Artificial intelligence and machine learning adoption in European enterprise

O'Reilly on Data

In this post, I’ll describe some of the key areas of interest and concern highlighted by respondents from Europe, while describing how some of these topics will be covered at the upcoming Strata Data conference in London (April 29 - May 2, 2019). Machine Learning model lifecycle management. IoT and its applications.

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Data Science News from Microsoft Ignite 2019

Data Science 101

This allows Azure to manage a completely hybrid infrastructure of: Azure, on-premise, IoT, and other cloud environments. Azure Machine Learning is an environment to help with all the aspects of data science from data cleaning to model training to deployment. It’s true, I saw it happen this week. Visual Studio Online.