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Generative AI use cases for the enterprise

IBM Big Data Hub

This data is fed into generational models, and there are a few to choose from, each developed to excel at a specific task. Generative adversarial networks (GANs) or variational autoencoders (VAEs) are used for images, videos, 3D models and music. Autoregressive models or large language models (LLMs) are used for text and language.

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Why Data is Essential for the Big Oil Transformation: The Ørsted Story

Anmut

Formerly known as DONG (Danish Oil and Natural Gas) Energy, in 2008 Ørsted announced a new focus on renewables, targeting 85% clean-energy supply by 2040. The transformation seems almost miraculous, having met their 2040 target 19 years in advance whilst posting record operating profits along the way. A clear company vision?

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Gartner D&A Summit Bake-Offs Explored Flooding Impact And Reasons for Optimism!

Rita Sallam

In 2040 that number is projected to grow to 10.2 Interpretation of our machine learning model suggests buying $50k in building coverage and $100k in warehouse content coverage, as the latter significantly boosts predicted flood claim payouts. In 2000, the Netherlands had 8.5 million people at risk of catastrophic, flooding.