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Digital Twins and Their AI Use Cases

Dataiku

The officer said that, in that case, he needed to weigh the software since the overall weight of a submarine was critical to its performance. to which Barry replied, “We only use the holes.”. Barry said no need sir; it weighs nothing.

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A comparative assessment of digital transformation in Italy

CIO Business Intelligence

CIOs are at the forefront of this as they help shepherd their organizations through digitalization. Digital is a powerful business lever,” says Alessandra Luksch, director of the Digital Transformation Academy Observatory at Politecnico di Milano, which has been mapping trends in ICT spending by Italian organizations since 2016. “In

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

IBM Big Data Hub

A digital twin is the digital representation of a physical asset. 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. Asset performance management.

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How generative AI can transform the aviation industry 

IBM Big Data Hub

In an industry where safety is paramount and new technologies require utmost scrutiny, generative AI promises to boost aviation businesses and their industry partners. There are a myriad of potential use cases for generative AI.

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Digital Twin Use Races Ahead at McLaren Group

CIO Business Intelligence

Meanwhile, the digital twin market is set to grow at a 50% compound annual growth rate, reaching $184.5 For businesses like the McLaren Group, these two trends are at the core of the conglomerate’s digital transformation and competitive strategy, on and off the track. . Using Data to Generate Simulations.

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My top learning and pondering moments at Splunk.conf22

Rocket-Powered Data Science

Observability is a business strategy: what you monitor, why you monitor it, what you intend to learn from it, how it will be used, and how it will contribute to business objectives and mission success. Observability meets AI – it is part of the complete AIOps package: ‘keeping an eye on the AI.’ is here, now!

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How foundation models can help make steel and cement production more sustainable

IBM Big Data Hub

They use high temperature heat in many of their processes that is primarily driven by fossil fuel. Generative AI , when applied to industrial processes, can improve production yield, reduce quality variability and lower specific energy consumption (thereby reducing operational costs and emissions).

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