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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

Qlik Key Findings: In the US alone, there’s $367 billion in agricultural commodities at risk to flooding in the US alone. A large part of under-developed Asian countries ranging from Bangladesh to Vietnam are at high risk of flooding events. million people at risk of catastrophic, flooding. In 2000, the Netherlands had 8.5

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Gartner D&A Summit Bake-Offs in London 2023: Flooding Impact And Reasons for Optimism!

Rita Sallam

Qlik Key Findings: In the US alone, there’s $367 billion in agricultural commodities at risk to flooding in the US alone. A large part of under-developed Asian countries ranging from Bangladesh to Vietnam are at high risk of flooding events. million people at risk of catastrophic, flooding. In 2000, the Netherlands had 8.5

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UKISUG Connect Keynote: Innovation in the Cloud

Timo Elliott

We were also told that S/4HANA would be supported until 2040. If SAP refuses to communicate more on this matter, there is a real risk many of those planning to migrate to S/4HANA may change their plans. RISE isn’t only about S4, it’s a cloud operating model that leverages the power of our ecosystem for you.

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Defining a new era of exponential companies

CIO Business Intelligence

Instead, many digitized analog-first processes and bolted them onto aging operating models. Companies will miss out if they make assumptions about business and operational models without reflecting on the possibilities afforded by AI. In short, modern operating models will be the enabler of business transformation.