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

IBM Big Data Hub

It uses real-world data (both real time and historical) combined with engineering, simulation or machine learning (ML) models to enhance operations and support human decision-making. We can use this to scale the use of AI in identification of anomalies and damages on utility assets versus manually reviewing the image.

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Solving data challenges to accelerate the energy transition

CGI

Solving data challenges to accelerate the energy transition. The energy transition is a technological, cultural and organizational sea change—and data is the means by which utilities can solve the foundational challenges of the transition. ravi.kumarv@cgi.com. Tue, 01/14/2020 - 02:21. More complex coordination.

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Capgemini and IBM Ecosystem strengthen partnership for Drone-as-a-Service

IBM Big Data Hub

Today, utilities and many other industries use drones extensively to conduct surveys, map assets and monitor business operations. They use drones for tasks as simple as aerial photography or as complex as sophisticated data collection and processing. The global commercial drone market is projected to grow from USD 8.15

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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. Quite simply, data.