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3 steps to get your data AI ready

CIO

As they embark on their AI journey, many people have discovered their data is garbage, says Eric Helmer, chief technology officer for software support company Rimini Street. For many CIOs, preparing their data for even one AI project is a tall order. They arent sure where it is among hundreds of different systems in some cases.

CTO 193
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What’s holding back CIO’s AI strategies? Their own AI learning curve for one

CIO

A lack of AI expertise is a problem, however, when other company leaders often turn to CIOs and other IT leaders as the “go-to people” for solving AI problems, says Pavlo Tkhir, CTO at Euristiq, a digital transformation company. “A Tkhir calls on organizations to invest in AI training.

Strategy 199
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Taking stock of human capital in the age of AI

CIO

Lack of properly trained candidates is the main cause of delays, and for this reason, IT and digital directors in Italy work together with HR on talent strategies by focusing on training. We provide continuous training and have also introduced Learning Friday as a half-day dedicated to training,” says Perdomi.

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IT leaders: What’s the gameplan as tech badly outpaces talent?

CIO

Dun and Bradstreet has been using AI and ML for years, and that includes gen AI, says Michael Manos, the companys CTO. To help address the problem, he says, companies are doing a lot of outsourcing, depending on vendors and their client engagement engineers, or sending their own people to training programs.

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AI in action: How enterprises are scaling AI for real business impact

CIO

To capitalize on the enormous potential of artificial intelligence (AI) enterprises need systems purpose-built for industry-specific workflows. Enterprise technology leaders discussed these issues and more while sharing real-world examples during EXLs recent virtual event, AI in Action: Driving the Shift to Scalable AI.

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CIOs must mind their own data confidence gap

CIO

This data confidence gap between C-level executives and IT leaders at the vice president and director levels could lead to major problems when it comes time to train AI models or roll out other data-driven initiatives, experts warn. Directors see the backend broken pipelines, inconsistent definitions, alerts missing context.

Data 195
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Rethinking digital transformation for the agentic AI era

CIO

For example, by analyzing customer feedback, including unstructured data such as reviews and social media comments, AI helps organizations operationalize that feedback to improve training, policies, and hiring, Mazur says.

CTO Coach 197