Remove 2022 Remove Data Processing Remove Modeling Remove Optimization
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Practical advice to optimize savings with cloud migrations

CIO Business Intelligence

As organizations of all stripes continue their migration to the cloud, they are coming face to face with sometimes perplexing cost issues, forcing them to think hard about how best to optimize workloads, what to migrate, and who exactly is responsible for what. It’s an issue that’s coming to the fore with the steady migration to the cloud.

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Seekr finds the AI computing power it needs in Intel’s cloud

CIO Business Intelligence

The company needs massive computing power with CPUs and GPUs that are optimized for AI development, says Clark, adding that Seekr looked at the infrastructure it would need to build and train its huge AI models and quickly determined that buying and maintaining the hardware would be prohibitively expensive.

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

CIO Business Intelligence

“Awareness of FinOps practices and the maturity of software that can automate cloud optimization activities have helped enterprises get a better understanding of key cost drivers,” McCarthy says, referring to the practice of blending finance and cloud operations to optimize cloud spend. It depends on what business model you’re in.

Strategy 139
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Setting up and Getting Started with Cloudera’s New SQL AI Assistant

Cloudera

As described in our recent blog post , an SQL AI Assistant has been integrated into Hue with the capability to leverage the power of large language models (LLMs) for a number of SQL tasks. It can help you to create, edit, optimize, fix, and succinctly summarize queries using natural language.

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Want to be a hybrid cloud winner? The recipe for XaaS success

IBM Big Data Hub

relative to 2022, with the highest being in infrastructure-as-a-service (at 23%) followed by software-as-a-service (SaaS, at 8.4%) and IT services (at 3%). Scaling AI for better business outcomes and impact AI has transitioned from peripheral to core business driver, demanding optimized infrastructure for high-performance AI workloads.

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Powering the future: How Gen AI and AI illuminate utility companies

CIO Business Intelligence

To overcome these challenges, energy companies are increasingly turning to artificial intelligence (AI), particularly generative AI large language models (LLM). First, AI is improving weather models so that utilities can have a better idea of where disaster might strike. Today, over 70% of the U.S. How can AI and generative AI help?

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Sustainability trends: 5 issues to watch in 2024

IBM Big Data Hub

Circular economy: When waste is a resource Waste not, want not: the circular economy model, which aims to minimize unnecessary waste and make the most of resources, is booming. 2 For example, some are turning to software solutions that can more easily capture, manage and report ESG data. trillion in economic benefits by 2030.

Reporting 101