Remove Digital Transformation Remove Enterprise Remove IoT Remove Prescriptive Analytics
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Editorial Review of “Building Industrial Digital Twins”

Rocket-Powered Data Science

This book is a very timely contribution to the world of industrial digital transformation. The digital twin is more than a data collector. examples, with constant reminders that’s it all about the data plus analytics! 7) Forward-looking DTs in the industrial enterprise. 4) The DT Canvas (chapter 4)!

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Analytics Insights and Careers at the Speed of Data

Rocket-Powered Data Science

The dynamic changes of the business requirements and value propositions around data analytics have been increasingly intense in depth (in the number of applications in each business unit) and in breadth (in the enterprise-wide scope of applications in all business units in all sectors). trillion by 2030. Now things are the Internet.”.

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Introducing Cloudera DataFlow (CDF)

Cloudera

Late last year, the news of the merger between Hortonworks and Cloudera shook the industry and gave birth to the new Cloudera – the combined company with a focus on being an Enterprise Data Cloud leader and a product offering that spans from edge to AI. So, what happens to HDF in the new Cloudera? What should customers expect?

IoT 73
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Incorporating Artificial Intelligence for Businesses : The Modern Approach to Data Analytics

BizAcuity

Integrating IoT and route optimization are two other important places that use AI. Enterprise Artificial Intelligence. Enterprise Artificial intelligence (AI) is a common jargon used to refer to how an organization integrates artificial intelligence (AI) into its infrastructure to drive digital transformation.