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Will generative AI make the digital twin promise real in the energy and utilities industry?

IBM Big Data Hub

Generative AI and digital twin use cases in asset-intensive industries Various use cases come into reality when you leverage generative AI for digital twin technologies in an asset-intensive industry such as energy and utilities. Consider some of the examples of use cases from our clients in the industry: Visual insights.

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Accelerating sustainable modernization with Green IT Analyzer on AWS

IBM Big Data Hub

Companies are also striving to balance this innovation with growing environmental, social and governance (ESG) regulations. As carbon emissions reporting becomes common worldwide, IBM is committed to assisting its clients in making informed decisions that can help address their energy demands and associated carbon impact while reducing costs.

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The Future of Information Governance: Trends Shaping 2025 and Beyond 

Gimmal

In the rapidly evolving digital landscape, information governance has become more critical than ever. As we approach 2025, organizations face new challenges and opportunities in managing, securing, and extracting value from their data. Improve Decision-Making: AI-driven analytics provide deeper insights into data trends and patterns.

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Utilities Digital Journey Insights (Part 3): Data, the new “digital capital” - Going beyond the hype of advanced analytics and AI

CGI

Utilities Digital Journey Insights (Part 3): Data, the new “digital capital” - Going beyond the hype of advanced analytics and AI. This series of blog posts builds on the 2018 CGI Client Global Insights, providing insights into how utilities are making progress toward digital transformation. So where do utilities stand?