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PODCAST: COVID19 | Redefining Digital Enterprises – Episode 10: COVID-19 | Evolving Trends of Digital Transformation

bridgei2i

PODCAST: COVID 19 | Redefining Digital Enterprises. Episode 10: COVID-19 | Evolving Trends of Digital Transformation. COVID-19 | Evolving Trends of Digital Transformation. My name is Vignesh, and I help companies succeed in their AI-enabled digital transformation. Listening time: 12 minutes.

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Bridging the Gap Between Industries: The Power of Knowledge Graphs – Part I

Ontotext

This allows companies to model and optimize the interactions between the various computers that make a car run, ensuring everything is operating in sync to meet the desired specifications. Manufacturing and Industry 4.0 For some time, the manufacturing industry has been benefiting significantly from knowledge graph technology.

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Consumer Technology & Durables (CTD) in the COVID-19 Era

bridgei2i

However, Italy, which seems to be flattening the curve, has started showing signs of optimism. Across markets, younger generations (including Generation Z and millennials) express less optimism and more worry than more mature generations. The challenge for businesses is, therefore, how to engage digitally with employees.

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Minimizing Supply Chain Disruptions with Advanced Analytics

Cloudera

Advanced predictive analytics and modeling are now optimizing safety stocks and supply chains to include the element in risk so that optimized inventory levels and redundant capital deployment in high risk manufacturing processes are optimized. Digital Transformation is not without Risk.

Analytics 111
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CIOs still grapple with what gen AI can do for the enterprise

CIO Business Intelligence

Yves Caseau, global CIO, Michelin Michelin Some technology leaders, including Patrick Thompson, former chief information and digital transformation officer of Albemarle, go so far to say that generative AI will become the most disruptive technology in our lifetimes. “It

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Mainframe and the cloud? It’s easy with open source

IBM Big Data Hub

Developers require hands-on interaction with the tools they use—a deep relationship that makes the technology their own, even as they work in the cloud. As a result, the optimal architecture for achieving mainframe inclusiveness balances activities on the mainframe with its integration into the broader DevOps toolchain.

Software 121
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AI in commerce: Essential use cases for B2B and B2C

IBM Big Data Hub

To take one example, AI-facilitated tools like voice navigation promise to upend the way users fundamentally interact with a system. As the future of commerce unfolds, each use case interacts holistically to transform the customer journey from end-to-end–for customers, for employees, and for their partners.

B2B 64