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Addressing cloud waste: 4 steps to cloud computing cost optimization

CIO Business Intelligence

Organizations with little or no cloud cost optimization plans rush into cloud technology investments,” according to Gartner. Conclusion Reducing cloud waste and optimizing cloud costs are critical to gaining competitive advantage in the cloud. It’s a complex challenge, and smart business leaders leave no opportunity unexplored.

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Are you ready for networking in 2025 and beyond?

CIO Business Intelligence

Watching the trends A new NTT ebook, The Future of Networking in 2025 and Beyond , looks at the trends that are likely to have the biggest impact on CIOs and information technology in the next few years. These tools allow you to maintain and optimize your systems in line with business changes. These trends include: 1. Networking

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Optimizing IT resources through infrastructure, people, and processes

CIO Business Intelligence

Optimization also rose to the top of IT leaders’ lists: 67% measure success within their IT organization by better optimizing resources. Optimizing IT resources—namely infrastructure, processes, and people—fuels digital transformation and modernization, which drives businesses to keep pace in today’s tough economy.

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How Can You Use Machine Learning to Optimize Pricing in FinTech?

Smart Data Collective

It’s similar to prices – price optimization through machine learning is a great tool to grow your revenue. By processing and analyzing big amounts of data, they can help you establish optimized pricing plans. Hire machine learning to make optimal pricing decisions. Price optimization without machine learning is incomplete.

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Dell cuts jobs amid growing economic uncertainties

CIO Business Intelligence

Optimistic of AI demand In the filing, Dell highlighted that despite a general sense of caution among enterprise and large corporate clients, its Infrastructure Solutions Group (ISG) has seen a boost in demand driven by the growing interest in AI-optimized solutions. Dell, Staff Management, Technology Industry

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Want AI? Here’s how to get your data and infrastructure AI-ready

CIO Business Intelligence

Getting the right and optimal responses out of GenAI models requires fine-tuning with industry and company-specific data. That includes solid infrastructure with the core tenets of scale, security, and performance–all with optimized costs. That’s because data is often siloed across on-premises, multiple clouds, and at the edge.

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10 Examples of How Big Data in Logistics Can Transform The Supply Chain

datapine

You can use big data analytics in logistics, for instance, to optimize routing, improve factory processes, and create razor-sharp efficiency across the entire supply chain. The big data market is expected to exceed $68 billion in value by 2025 , a testament to its growing value and necessity across industries. Did you know?

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