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9 IT resolutions for 2025

CIO

They want to expand their use of artificial intelligence, deliver more value from those AI investments, further boost employee productivity, drive more efficiencies, improve resiliency, expand their transformation efforts, and more. I am excited about the potential of generative AI, particularly in the security space, she says.

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Banks bet on AI to deliver digital efficiencies

CIO

In the face of shrinking budgets and rising customer expectations, banks are increasingly relying on AI, according to a recent study by consulting firm Publicis Sapiens. Even beyond customer contact, bankers see generative AI as a key transformative technology for their company.

Banking 212
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5 Things To Look For When Evaluating AI Startups

Crunchbase News

By Bob Ma According to a report by McKinsey , generative AI could have an economic impact of $2.6 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. trillion to $4.4

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

CIO

Just as Japanese Kanban techniques revolutionized manufacturing several decades ago, similar “just-in-time” methods are paying dividends as companies get their feet wet with generative AI. We activate the AI just in time,” says Sastry Durvasula, chief information and client services officer at financial services firm TIAA.

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CIOs’ lack of success metrics dooms many AI projects

CIO

Many organizations have launched dozens of AI proof-of-concept projects only to see a huge percentage fail, in part because CIOs don’t know whether the POCs are meeting key metrics, according to research firm IDC. Thirty-five percent of CIOs said none of their custom-built AI apps made it out of POC.

Metrics 187
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Your Generative AI strategy could use a startup’s touch

CIO

You’re an IT leader at an organization whose employees are rampantly adopting generative AI. Successful startups don’t get caught chasing butterflies; they identify opportunities that will generate the best return. You require a strategy for efficient, productive, and responsible corporate use. What are your metrics for success?

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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. And while most executives generally trust their data, they also say less than two thirds of it is usable. We’re trying to get the AI to have the same knowledge as the best employee in the business,” he says.

Data 211