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CIOs sharpen cloud cost strategies — just as gen AI spikes loom

CIO

Yet, controlling cloud costs remains the top challenge IT leaders face in making the most of their cloud strategies, with about one third — 35% — of respondents citing these expenses as the No. 1 barrier to moving forward in the cloud. He went with cloud provider Wasabi for those storage needs.

Strategy 351
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What the Evolution of Specialized Hardware for AI and ML Means for DevOps

DevOps.com

DevOps teams should consider a number of different strategies to ensure apps remain efficient and portable across various chip architectures.

DevOps 115
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10 hottest IT jobs for salary growth in 2023

CIO

There’s a strong need for workers with expertise in helping companies make sense of data, launch cloud strategies, build applications, and improve the overall user experience. Companies need qualified CTOs, CIOs, vice presidents, and directors who are focused on developing and overseeing the business’ overall technology strategy and goals.

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CIOs sharpen tech strategies to support hybrid work

CIO

Those principles, along with lessons learned during recent years, have helped Pfeiffer sharpen her tech strategy for supporting hybrid work in 2023. The same goes for any hardware (e.g., laptops) being used. My philosophy is your office is your laptop and everything you need to be productive is enabled through that laptop,” he says.

Strategy 356
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Transform the modern data center: From today to the future

CIO

This entails rethinking architectures, particularly network architectures, to enable seamless scale-out while unlocking deeper correlations and insights into system performance and behavior. Modular designs extend the lifecycle of hardware and reduce waste, and they facilitate the integration of commonly used components.

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Avoid generative AI malaise to innovate and build business value

CIO

The research cited a lack of talent and skills to work with the technology (62%), unclear AI and GenAI investment priorities (47%), and the absence of a strategy for responsible AI (41%) as the top three obstacles. Reach consensus on strategy. But how do you get there? This playbook can help. Cleanse your data.

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Deep Vision announces its low-latency AI processor for the edge

TechCrunch

Hameed and Qadeer developed Deep Vision’s architecture as part of a Ph.D. “They came up with a very compelling architecture for AI that minimizes data movement within the chip,” Annavajjhala explained. In addition, its software optimizes the overall data flow inside the architecture based on the specific workload.