Remove Digital Transformation Remove IoT Remove Modeling 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. In order to help an organization get started with a DT (digital twin), this book outlines the process of building the MVT (Minimum Viable Twin). 4) The DT Canvas (chapter 4)!

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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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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 (AI) is a common jargon used to refer to how an organization integrates artificial intelligence (AI) into its infrastructure to drive digital transformation. Artificial Intelligence Analytics. AI Services.