Remove categories data-centers
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Generative AI gold rush drives IT spending — with payoff in question

CIO

Interest in AI, building since last year, will push a 10% increase in data center system spending this year, driving worldwide IT spending to $5.06 Data centers shoulder the load To support AI workloads, spending on data center systems will increase by 10% in 2024, Gartner predicted, compared to a 4% increase in 2023.

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UPS delivers customer wins with generative AI

CIO

Bala Subramanian, chief digital and technology officer at UPS, sees the company’s foray into generative AI as not only a winner for its customer contact center agents but something to be introduced to other business processes in the near future, he says. Built to extend For UPS, contact center use of generative AI is just a springboard.

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Nvidia AI Enterprise adds generative AI microservices

CIO

They’re split into two main categories — Nvidia NIM, which covers microservices related to deploying production AI models, and CUDA-X, for microservices like cuOpt, the company’s optimization engine. Business data hosted on Box, Cloudera, Cohesity, Datastax and the like can be used in AI applications as of version 5.0,

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Capitalizing on technology budgets: A CIO’s story

CIO

By leveraging data-driven methods, businesses can optimize and reclaim operating capital from their extensive technology budgets, reducing expenses without resorting to drastic measures. However, she was consistently impressed with AIQ’s data-driven process and the significant cost savings they drove.

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CIOs take aim at SaaS sprawl

CIO

Years into strategies centered on adopting cloud point solutions, CIOs increasingly find themselves facing a bill past due: rationalizing, managing, and integrating an ever-expanding lineup of SaaS offerings — many of which they themselves didn’t bring into the organization’s cloud estate. Addressing the ensuing sprawl was no quick fix.

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How AI can drive efficiencies in your supply chain

CIO

For example, AI can quickly answer: what is the best strategy for optimizing savings in a rising market for a particular category? One scenario in which AI can help is with a category or sourcing manager at a data center who needs to run a request for proposal with over a dozen suppliers, some they’ve worked with before.

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Yogurt maker stirs in SAP to boost its demand planning capability

CIO

And that’s especially true if you’re using manual processes to gather data from your diverse, complex, and often siloed ecosystem to do the planning/forecasting. And a large part of reaching that goal centered on having healthy demand planning/forecasting processes. Such was the case with Danone.

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