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When is data too clean to be useful for enterprise AI?

CIO

But along with siloed data and compliance concerns , poor data quality is holding back enterprise AI projects. Once the province of the data warehouse team, data management has increasingly become a C-suite priority, with data quality seen as key for both customer experience and business performance.

Data 211
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What to expect from AI in the enterprise in 2025

CIO

This is particularly true with enterprise deployments as the capabilities of existing models, coupled with the complexities of many business workflows, led to slower progress than many expected. This year saw the initial hype and excitement over AI settle down with more realistic expectations taking hold.

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How AI orchestration has become more important than the models themselves

CIO

Computing costs rising Raw technology acquisition costs are just a small part of the equation as businesses move from proof of concept to enterprise AI integration. Computing costs rising Raw technology acquisition costs are just a small part of the equation as businesses move from proof of concept to enterprise AI integration.

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5 Things To Look For When Evaluating AI Startups

Crunchbase News

Bob Ma of Copec Wind Ventures AI’s eye-popping potential has given rise to numerous enterprise generative AI startups focused on applying large language model technology to the enterprise context. Standard products include employee copilots, content generation for marketing, back-office automation and enterprise knowledge search.

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‘Just-in-time’ AI: Has its moment arrived?

CIO

For example, because they generally use pre-trained large language models (LLMs), most organizations aren’t spending exorbitant amounts on infrastructure and the cost of training the models. And although AI talent is expensive , the use of pre-trained models also makes high-priced data-science talent unnecessary.

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CIOs’ lack of success metrics dooms many AI projects

CIO

A particular concern is that many enterprises may be rushing to implement AI without properly considering who owns the data, where it resides, and who can access it through AI models,” he says. The potential cost can be huge, with some POCs costing millions of dollars, Saroff says. Access control is important, Clydesdale-Cotter adds.

Metrics 187
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CIOs are rethinking how they use public cloud services. Here’s why.

CIO

Over the past few years, enterprises have strived to move as much as possible as quickly as possible to the public cloud to minimize CapEx and save money. As VP of cloud capabilities at software company Endava, Radu Vunvulea consults with many CIOs in large enterprises. Are they truly enhancing productivity and reducing costs?

Cloud 209