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The Failed Promises of Digital Transformation and What to Do About It

Ontotext

Digital Transformation, which has been a top priority for CEOs and boards of directors for many years, has had mixed results. As graph data platforms become more widely understood, they play a key enabling role in delivering on many of the failed promises of Digital Transformation. Let’s be frank.

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Why sustainable transportation needs 5G connectivity and digitalisation

CIO Business Intelligence

This is because a great deal of information will need to flow during the transition to sustainable transportation – from the digital support of electric vehicles, to providing customers with information on where to charge their vehicles and how to optimise the charging process. Learn more here.

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Minimizing Supply Chain Disruptions with Advanced Analytics

Cloudera

Advanced analytics and enterprise data empower companies to not only have a completely transparent view of movement of materials and products within their line of sight, but also leverage data from their suppliers to have a holistic view 2-3 tiers deep in the supply chain. Digital Transformation is not without Risk.

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Digital twin helps NTT Indycar deliver better race experience to fans

CIO Business Intelligence

“If you go back to the early days of the Indianapolis Motor Speedway, it was in some regards built as a proving ground for the emerging automobile business and a place for a lot of automotive manufacturers that are based here in Indianapolis and around the Midwest to bring their newest inventions and test them.”.

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Digital twin helps NTT Indycar deliver better race experience to fans

CIO Business Intelligence

“If you go back to the early days of the Indianapolis Motor Speedway, it was in some regards built as a proving ground for the emerging automobile business and a place for a lot of automotive manufacturers that are based here in Indianapolis and around the Midwest to bring their newest inventions and test them.”.

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Smart manufacturing technology is transforming mass production

IBM Big Data Hub

Smart manufacturing (SM)—the use of advanced, highly integrated technologies in manufacturing processes—is revolutionizing how companies operate. Smart manufacturing, as part of the digital transformation of Industry 4.0 , deploys a combination of emerging technologies and diagnostic tools (e.g.,

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Using DataOps to Drive Agility and Business Value

DataKitchen

In May 2021 at the CDO & Data Leaders Global Summit, DataKitchen sat down with the following data leaders to learn how to use DataOps to drive agility and business value. Kurt Zimmer, Head of Data Engineering for Data Enablement at AstraZeneca. Jim Tyo, Chief Data Officer, Invesco.

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