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

IBM Big Data Hub

For example, heat maps can show where in the electricity network bottlenecks may occur due to an expected heat wave caused by intensive air conditioning usage (and how these could be addressed by intelligent switching). Consider some of the examples of use cases from our clients in the industry: Visual insights.

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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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Accelerating sustainable modernization with Green IT Analyzer on AWS

IBM Big Data Hub

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. Their activity requires active cooling and management of the data center spaces that they operate in.

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Transforming an Expert into an Expert System

Role Model Software

Given structured data and an algorithm, they can sort through data very quickly. With a different algorithm, they can turn unstructured data into structured data very quickly. They have to have someone produce the data in a way they can access. They have to be told what to do with that data.

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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