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3 ways CIOs are leading the way to an AI-enabled enterprise

CIO

According to an April 2024 IDC study, CIOs will oversee AI resources in 53 percent of surveyed organizations. 1 Determining target areas AI is being used in many different use cases, from enterprise off-the-shelf productivity tools to tailor-made solutions. 2 CIOs must decide which priorities come first.

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Predibase exits stealth with a low-code platform for building AI models

TechCrunch

In a recent survey of “data executives” at U.S.-based based companies, 44% said that they’ve not hired enough, were too siloed off to be effective and haven’t been given clear roles. “Machine learning projects today usually take six months to a year at most organizations we’ve worked with.

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Come trasformare l’AI in un successo per le vendite: tutti i segreti e le applicazioni-chiave

CIO

Questi risultati del McKinsey Global Survey [in inglese]y sull’AI (condotto su un campione di 1.363 dirigenti tra il 22 febbraio e il 5 marzo del 2024) sottolineano un trend inarrestabile. Il 65% delle aziende mondiali sta usando l’intelligenza artificiale generativa su base regolare, quasi il doppio di un anno fa.

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Hivery bags new money to automatically optimize product placement on store shelves

TechCrunch

For example, according to a recent survey by Retail Insights, seven out of 10 consumers believe that stockouts — events that cause inventory to be exhausted — are worse today than they were during peak pandemic-induced panic buying. “Today, if you walk into one of the major retail chains in the U.S.,

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10 things keeping IT leaders up at night

CIO

CIOs are hardly Luddites, but even some technologists fret about artificial intelligence, the rapid pace of tech evolution, and their ability to keep up. That’s not to say they’re looking to ditch their roles or smash machines, as the real Luddites had. Yet CIOs do admit that they’re worried about multiple issues these days.

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How Retailers Use Artificial Intelligence to Innovate Customer Experience and Enhance Operations

Altexsoft

Fast checkout, personalized recommendations, or instant access to customer care at any time are a few services that can be implemented with the help of artificial intelligence. In-store cameras and sensors detect each product one takes from a shelf, and items are being added to a virtual cart while a customer proceeds.

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7 data trends on our radar

O'Reilly Media - Ideas

In a recent O’Reilly survey , we found that the skills gap remains one of the key challenges holding back the adoption of machine learning. For most companies, the road toward machine learning (ML) involves simpler analytic applications. Increasing focus on building data culture, organization, and training.

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