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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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We’ll See You at the Gartner Data and Analytics Summit

Cloudera

The Gartner Data and Analytics Summit in London is quickly approaching on May 13 th to 15 th , and the Cloudera team is ready to hit the show floor! With the rapid pace of AI innovations, today’s leaders must connect, share, and learn from each other on how to best leverage AI technology to effectively analyze data to our advantage.

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Getinge’s digital transformation shows scaling and adapting in equal measure

CIO Business Intelligence

We’re now scaling all these services and have increased the volume toward our end customers,” says Getinge CIO Pelle Nilsson. The IT organization is also works to improve the quality and management of data to better utilize their many sources in order to become a more data-driven organization.

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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.”

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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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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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FPGA vs. GPU: Which is better for deep learning?

IBM Big Data Hub

It is primarily used for tasks like speech recognition, image processing and complex decision-making, where it can “read” and process a large amount of data to perform complex computations efficiently. However, managing multiple GPUs on-premises can create a large demand on internal resources and be incredibly costly to scale.