Remove 7-must-have-data-management-capabilities
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7 Must-Have Data Management Capabilities

Data Virtualization

Agile processes and automation are on the rise, causing companies to increasingly seek data virtualization solutions, which offer several important benefits: First, maintenance is cheaper compared to traditional tools, and data virtualization, which does not rely on data replication, eliminates.

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

CIO Business Intelligence

CIOs are responsible for much more than IT infrastructure; they must drive the adoption of innovative technology and partner closely with their data scientists and engineers to make AI a reality–all while keeping costs down and being cyber-resilient. An estimated 90% of the global datasphere is comprised of unstructured data 1.

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7 sins of digital transformation

CIO Business Intelligence

As CIOs prepare for the next wave of digital transformation, they must demonstrate shorter-term business impacts from technology investments and achieve larger innovation goals that evolve the organization’s business model. Gartner’s data suggests that, without executive partnership, as many as 88% of CIOs are primed to fall short.

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What IT leaders need to know about the EU AI Act

CIO Business Intelligence

The vote isn’t the final passage, but it indicates that many CIOs at organizations using AI tools will have new regulations to comply with, as the law will apply both to organizations developing AIs and those simply deploying them. Carlsson fears the law will have a “profound cooling effect” on AI research and adoption.

IT 97
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10 digital transformation roadblocks — and 5 tips for overcoming them

CIO Business Intelligence

IT leaders must work with business leadership to help establish a clear understanding of digital transformation goals and a practical roadmap for achieving them. Transformational leaders must ensure that everyone is on the same page and that there is effective communication and collaboration throughout the digital transformation process.

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Should finance organizations bank on Generative AI?

CIO Business Intelligence

That’s because generative AI large language models (LLMs) have prowess in text-based generation, readily finding language and word patterns. In the numerically based finance and banking industry, does generative AI have as much application potential? At the top of that list are data privacy and security as well as output accuracy.

Finance 133
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Microsoft can’t keep up with demand for AI in the cloud — for now

CIO Business Intelligence

Within the Intelligent Cloud segment, revenue from Azure and other cloud services grew 31% year on year, ahead of expectations, with AI services contributing 7 points of growth, Hood said. Many features have been developed for Windows and Office copilots without having been deployed due to the lack of compute.