Remove Book Remove Digital Transformation Remove Forecasting Remove Internet of Things
article thumbnail

Editorial Review of “Building Industrial Digital Twins”

Rocket-Powered Data Science

I was asked by the publisher to provide an editorial review of the book “Building Industrial Digital Twins: Design, develop, and deploy digital twin solutions for real-world industries using Azure Digital Twins“, by Shyam Varan Nath and Pieter van Schalkwyk. The digital twin is more than a data collector.

article thumbnail

Shocking Amount of Data

Rocket-Powered Data Science

50 years after the publication of Alvin Toffler ’s landmark book “ Future Shock “, a new book “ After Shock ” is here. I present here a short excerpt from my contribution to the book. I am honored to be included among those luminary contributors. After Shock, edited by John Schroeter.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Six EAM trends pushing the oil and gas industries forward

IBM Big Data Hub

More recently, these systems have integrated advanced technologies like Internet of Things (IoT), artificial intelligence (AI) and machine learning (ML) to enable predictive analytics and real-time monitoring. Cost control and budgeting : EAM systems provide valuable insights into asset performance as it relates to maintenance costs.

article thumbnail

Data, The Unsung Hero of the Covid-19 Solution

Cloudera

Capacity on planes and with ground transportation has been booked, and, of course, this was all done in the absence of the vaccine itself. This is, in turn, causing a mismatch between demand forecasting and supply replenishment. A key element of successful supply chains of this magnitude is a gile demand forecasting.

article thumbnail

10 manufacturing trends that are changing the industry

IBM Big Data Hub

Manufacturing has undergone a major digital transformation in the last few years, with technological advancements, evolving consumer demands and the COVID-19 pandemic serving as major catalysts for change. Manufacturers can also use digital twins to simulate scenarios and test configurations before implementing them.