Remove Digital Transformation Remove IoT Remove Prescriptive Analytics Remove Technology
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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. It is truly a business digital transformation manual. 3) The consistent emphasis on and elaboration of key DT value propositions, requirements, and KPI tracking.

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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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Introducing Cloudera DataFlow (CDF)

Cloudera

One of the most promising technology areas in this merger that already had a high growth potential and is poised for even more growth is the Data-in-Motion platform called Hortonworks DataFlow (HDF). to generate key insights and actionable intelligence for predictive and prescriptive analytics.

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

BizAcuity

The widespread adoption of AI technology is fueled by 3 major challenges that businesses have been facing since the last decade. Integrating IoT and route optimization are two other important places that use AI. Artificial Intelligence Analytics. AI for Business. Fast shifting trends in consumer behavior. AI in Healthcare.