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Moving From Data to Value at Scale

Dataiku

This is a blog post from our friends at AHEAD. AHEAD is a leading provider of platforms for digital business that weaves together advances in enterprise cloud infrastructure, intelligent operations, and modern applications to fuel innovation for their customers.

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To understand the risks posed by AI, follow the money

O'Reilly on Data

By Rufus Rock , UCL ; Tim O’Reilly , UCL ; Ilan Strauss , UCL ; and Mariana Mazzucato , UCL This article is republished from The Conversation under a Creative Commons license. Focusing on the economic risks from AI is not simply about preventing “monopoly,” “self-preferencing,” or “Big Tech dominance.”

Risk 221
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Accelerating Industry 4.0 at warp speed: The role of GenAI at the factory edge

CIO Business Intelligence

The implementation of digital transformation has been underway, but moving slowly for over a decade. Manufacturers have been using gateways to work around these legacy silos with IoT platforms to collect and consolidate all operational data. You’re fast asleep aboard the USS Enterprise Star Trek. Captain James T.

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Analytics Insights and Careers at the Speed of Data

Rocket-Powered Data Science

How to make smarter data-driven decisions at scale : [link]. The determination of winners and losers in the data analytics space is a much more dynamic proposition than it ever has been. A lot has changed in those five years, and so has the data landscape. But if they wait another three years, they will never catch up.”

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A changing market landscape requires constant evolution: Our mission for VMware customers

CIO Business Intelligence

Our goal since the Broadcom/VMware acquisition was completed last November has been to help our customers move fast in their digital transformation to position themselves for success. Last month, I reflected on the first 100 days since we completed the acquisition, and I shared what I was hearing from customers.

Marketing 105
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IT leaders explore footing amid shifting needs and the AI power struggle

CIO Business Intelligence

This immediately opened the potential to tap more value from legacy systems.” We saw media advances that ranged from the very practical, like automatic jump cut editing, to mildly terrifying examples of criminals using deepfake audio to impersonate relatives.” It was easy to identify use cases, says Sample.

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CIOs not entirely sold on generative AI copilots

CIO Business Intelligence

But Microsoft still has work to do on its value proposition. AI technology is moving so fast, and the ROI is still murky, making it difficult to commit to one AI assistant, he says. We’re still a ways away from clearly understanding who might be winners and losers in this space,” he adds. No,” he says. Yeah, that makes sense.”