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SAP to buy LeanIX to advance process optimization with AI

CIO Business Intelligence

The data-driven view of the complexities of those processes, and of the infrastructure they run on that LeanIX provides, is becoming more central to IT departments’ work, he said. “We Artificial Intelligence, Data Center Management, Enterprise Applications, Enterprise Architecture, Generative AI, Mergers and Acquisitions, SAP

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

Rita Sallam

Are there mitigation strategies that show reasons for optimism? We explored these questions and more at our Bake-Offs and Show Floor Showdowns at our Data and Analytics Summit in Orlando with 4,000 of our closest D&A friends and family. What Data Did We Use? We did two Bake-Offs this year.

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

Rita Sallam

Are there mitigation strategies that show reasons for optimism? We explored these questions and more at our Bake-Offs and Show Floor Showdowns at our Data and Analytics Summit in London with 3,700 of our closest D&A friends and family. We did two Bake-Offs at the Gartner Data and Analytics Summit in London last week.

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Generative AI use cases for the enterprise

IBM Big Data Hub

Demystifying generative AI At the heart of Generative AI lie massive databases of texts, images, code and other data types. This data is fed into generational models, and there are a few to choose from, each developed to excel at a specific task. Imagine each data point as a glowing orb placed on a vast, multi-dimensional landscape.

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Dear SAP Support – We’ve Grown Apart

CIO Business Intelligence

I want a business-driven roadmap, not a vendor-dictated one. They don’t have a 2027 or 2030 or 2040 deadline; those dates are irrelevant. They’ll optimize my current environment and help me evolve by innovating around the edges of my ECC. link] Data Center Management, IT Leadership I don’t think so.

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Defining a new era of exponential companies

CIO Business Intelligence

Like the internet, AI was born in a digital-first world, using data as its food for artificial thought. For AI to thrive in any organization, it must be powered by integrated data, processes, resources, and governance. And to do that, new operating models must be fashioned to become AI-native and optimized.