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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.

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Ultimate List of CFO Blogs and Resources – 2023 Edition

Jet Global

Another nice aspect of the blog is that it frequently publishes the results of surveys conducted by the CFOSP. and Digital Transformation Beyond Financial Management As the world has modernized, so has the role of a CFO. and digital transformation beyond financial management.”

KPI 105
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5 hot IT budget investments — and 2 going cold

CIO Business Intelligence

Hot: AI and VR/AR With digital transformations moving at full throttle, and a desire to stay innovative, it should come as no surprise that use cases for virtual reality, augmented reality, and artificial intelligence continue to grow in several verticals. The unified communications market’s meager 1.6%

IT 145
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Blogs and Resources for the Modern CFO – 2020 Edition

Jet Global

Another nice aspect of the blog is that it frequently publishes the results of surveys conducted by the CFOSP. The digital transformation has provided us with numerous tools that give us insight into what the future may hold. and digital transformation beyond financial management.”.

KPI 52
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Birst 7: A new level of ease of use and collaboration across centralized and decentralized analytic teams

Birst BI

Cloud, digital transformation, mergers and acquisitions, big data analytics, data monetization, and more are all critical business initiatives creating an even greater divide between centralized IT and decentralized analytic teams in the business.

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The art and science of data product portfolio management

AWS Big Data

This is due to a common misconception about data mesh as a data strategy, which is that it is effectively self-organizing—meaning that once presented with the opportunity, data owners within the organization will spring to the responsibilities and obligations associated with publishing high-quality data products.