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CIOs in financial services embrace gen AI — but with caution

CIO

Highly regulated, customer-centric, and dependent on layers of human involvement and manual processes, financial services are ripe for automation through artificial intelligence (AI). So business technology leaders in financial services are carefully navigating a path toward AI.

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Rocket Mortgage lays foundation for generative AI success

CIO

That’s why Rocket Mortgage has been a vigorous implementor of machine learning and AI technologies — and why CIO Brian Woodring emphasizes a “human in the loop” AI strategy that will not be pinned down to any one generative AI model. The rest are on premises.

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Using artificial intelligence to fight fraud

CTOvision

Read Oliver Pickup explain how companies can fight cyber fraud with the help of artificial intelligence on Raconteur : Fraud has existed ever since humans began trading while cyber fraud has been in existence since the Internet came into being. Cyber fraud is endemic in the digital age.

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Intelligenza artificiale e gen AI: i quattro elementi per passare al “next level”

CIO

“L’intelligenza artificiale è una rivoluzione, perché rappresenta una general purpose technology: la possiamo paragonare all’introduzione dell’elettricità e alla nascita di Internet. Le reti neurali sono il modello di machine learning più utilizzato oggi. Si tratta di oggetti matematici composti da migliaia di parametri.

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The year’s top 10 enterprise AI trends — so far

CIO

The potential impacts are reminiscent of the dawn of the Internet, and are likely to be just as transformative for businesses. The world has flipped since 2022,” says David McCurdy, chief enterprise architect and CTO at Insight. This is where large language models get me really excited. Then gen AI came out.

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Artificial intelligence: the megatrend that’s first among equals

CTOvision

Artificial intelligence (AI) isn’t business as usual. Because of complementary advances in natural language processing, machine learning, and image recognition, the range of tasks for which AI is well-suited is growing daily. Imagine a barrel perched […].

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4 ways to enable explainability in generative AI

CIO

For instance, if you start with a Monet painting and use an extended generative AI model trained on all Monet artwork and complementary artists, you can create an input dataset that includes images by the artist. The dataset is complemented by a text-based dataset sourced from the entire internet.