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How Nvidia became a trillion-dollar company

CIO Business Intelligence

How Nvidia got here and where it’s going next sheds light on how the company has achieved that valuation, a story that owes a lot to the rising importance of specialty chips in business—and accelerating interest in the promise of generative AI.

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10 highest-paying IT skills for 2024

CIO Business Intelligence

As a result, AI skills are now among the most sought-after skills, even as companies retrench via layoffs. These roles include data scientist, machine learning engineer, software engineer, research scientist, full-stack developer, deep learning engineer, software architect, and field programmable gate array (FPGA) engineer.

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Will enterprises soon keep their best gen AI use cases under wraps?

CIO Business Intelligence

Similarly, clothing brand Under Armour recently produced an ad that used AI-generated 3D models of the British boxer Anthony Joshua, based on videos they took of him in the past. A chief commercial officer of a clothing company learned to use Midjourney to create images of new clothing products.

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Navigating the World of SDK for eBook Developers

Kitaboo

To help them deliver in a timely fashion, SDKs have started playing a crucial role in eBook development. SDKs, or software development kits, or dev kits, are toolkits that help eBook developers build software and apps for educational institutions. One such company is Amazon.

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Nvidia and Siemens to accelerate digital twins’ development

CIO Business Intelligence

Nvidia made its name designing chips that can dramatically accelerate certain kinds of calculations — those involved in rendering 3D models, for instance — but has recently moved into software development. If a customer comes to us and really wants to have multiple elements of a solution to be bought, … we facilitate that.”.

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10 emerging innovations that could redefine IT

CIO Business Intelligence

The hope is that these new analog chips will use dramatically less power making them useful for any of the mobile and distributed applications on machines that aren’t always plugged in. The main constituency: Any developer who will happily trade a bit of precision for a big savings in electricity. See here and here , for instance.)

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Enterprise IT moves forward — cautiously — with generative AI

CIO Business Intelligence

While the technology is still in its early stages, for some enterprise applications, such as those that are content and workflow-intensive, its undeniable influence is here now — but proceed with caution. One application, in vehicle imaging, was conceived as a way to improve customer experience.