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Smug until weirdly silent: who told us to say “I am alive”?33m ago Disney's new CTO tells staff he 'won't pretend it will be easy' to win in the changing media landscape45m ago OpenAI Adds New Irish Roles in Boost to Firm’s EU Headquarters47m ago Manifold Steering from a Natural State is Effective and Generalizable, but Relies on Model Accuracy48m ago Microsoft Research Introduces StudentSim for AI Tutor Training49m ago Why Big Tech Is Borrowing Billions to Fund AI Spending53m ago Meet the Anthropic Engineer Keeping Its AI Agent Trustworthy55m ago Meta Unveils New Series of Advanced A.I. Models2h ago Russia was not ready for the data center war it started with Ukraine1h ago Accessing OpenAI GPT models on Amazon Bedrock with global cross-Region inference in Thailand, Malaysia, Singapore, Indonesia, and Taiwan1h ago Meta says its new Muse model has reached the AI frontier1h ago Do you have any ideas?1h ago Claude sent a false homicide tip to police – and it’s part of a troubling AI pattern1h ago Labs’ current alignment plans seem terrible1h ago

Industry & Manufacturing5 min reading time

The Real Reason Digital Transformations Fail In Manufacturing

ForbesPublished 5 days ago

Read the full article

Manufacturing digital transformations often fail due to inaccessible, inconsistent data and lack of governance, hindering AI projects like predictive maintenance and digital twins. Standardized data models simplify integration and improve AI effectiveness, yet many manufacturers hesitate to invest or staff these initiatives. The U.S. DOE supports efforts like CESMII to boost adoption of smart manufacturing standards.

#cesmii #data-modeling #smart-manufacturing #u-s-department-of-energy

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