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Cloud analytics migration: how to exceed expectations

CIO

A modern data and artificial intelligence (AI) platform running on scalable processors can handle diverse analytics workloads and speed data retrieval, delivering deeper insights to empower strategic decision-making. Intel’s cloud-optimized hardware accelerates AI workloads, while SAS provides scalable, AI-driven solutions.

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9 IT skills where expertise pays the most

CIO

It enables developers to create consistent virtual environments to run applications, while also allowing them to create more scalable and secure applications via portable containers. Using this software, organizations can better streamline server hardware, with fewer physical servers on site, and still expand server capabilities.

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How today’s enterprise architect juggles strategy, tech and innovation

CIO

to identify opportunities for optimizations that reduce cost, improve efficiency and ensure scalability. Software architecture: Designing applications and services that integrate seamlessly with other systems, ensuring they are scalable, maintainable and secure and leveraging the established and emerging patterns, libraries and languages.

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Gartner projects major IT spending increases for 2025

CIO

growth this year, with data center spending increasing by nearly 35% in 2024 in anticipation of generative AI infrastructure needs. This spending on AI infrastructure may be confusing to investors, who won’t see a direct line to increased sales because much of the hyperscaler AI investment will focus on internal uses, he says.

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Choosing a cloud infrastructure provider: A beginner’s guide

TechCrunch

The promise of lower hardware costs has spurred startups to migrate services to the cloud, but many teams were unsure how to do this efficiently or cost-effectively. Realistically, it’s essential to analyze the tools available before you decide on a cloud infrastructure provider to keep application maturity and running costs in check.

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Can serverless fix fintech’s scaling problem?

CIO

Add to this the escalating costs of maintaining legacy systems, which often act as bottlenecks for scalability. The latter option had emerged as a compelling solution, offering the promise of enhanced agility, reduced operational costs, and seamless scalability. Scalability. Legacy infrastructure. Scalability.

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Navigating the future of national tech independence with sovereign AI

CIO

There are two main considerations associated with the fundamentals of sovereign AI: 1) Control of the algorithms and the data on the basis of which the AI is trained and developed; and 2) the sovereignty of the infrastructure on which the AI resides and operates. high-performance computing GPU), data centers, and energy.