Remove Digital Transformation Remove IoT Remove Prescriptive Analytics Remove Strategy
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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

AI Adoption and Data Strategy. Lack of a solid data strategy. In order to adopt AI solutions for your business, the best way forward is to first ensure that you have a strong data strategy in place. Data strategy allows you to build a roadmap to adopt AI. Worth a read if you are brainstorming on AI strategy.

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Introducing Cloudera DataFlow (CDF)

Cloudera

It is a key capability that will address the needs of our combined customer base in areas of real-time streaming architectures and Internet-of-Things (IoT). It meets the challenges faced with data-in-motion, such as real-time stream processing, data provenance, and data ingestion from IoT devices and other streaming sources.

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