CIO

FEBRUARY 23, 2024

Generative AI takes a front seat As for that AI strategy, American Honda’s deep experience with machine learning positions it well to capitalize on the next wave: generative AI. The ascendent rise of generative AI last year has applied pressure on CIOs across all industries to tap its potential.

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CIO

JULY 26, 2023

And the crew is using AWS SageMaker machine learning (ML) to give its agents the best local leads and prospective buyers. Generative AI engines like ChatGPT will create better and well-crafted descriptions for new listings and put more time on the agent’s calendar,” Cox says.

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Mentormate

JUNE 26, 2023

Over the past several months, artificial intelligence (AI) has revealed its power and potential to the general public with the rise of generative AI tools like ChatGPT and Stable Diffusion. That was when the first commercial computers started supporting business operations and tasks in the insurance and military sector.

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CIO

DECEMBER 1, 2023

Since its origins in the early 1970s, LexisNexis and its portfolio of legal and business data and analytics services have faced competitive threats heralded by the rise of the Internet, Google Search, and open source software — and now perhaps its most formidable adversary yet: generative AI, Reihl notes. “We In total, LexisNexis spent $1.4

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Openxcell

APRIL 25, 2023

As a result of ChatGPT’s recent introduction, AI has become mainstream in a short amount of time. Profitable AI business ideas to look for in 2023 Launch your AI-driven fraud detection firm Various industries such as finance, banking, e-commerce, and insurance are in danger of fraud attacks.

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Cloudera

SEPTEMBER 7, 2023

With the emergence of new creative AI algorithms like large language models (LLM) fromOpenAI’s ChatGPT, Google’s Bard, Meta’s LLaMa, and Bloomberg’s BloombergGPT—awareness, interest and adoption of AI use cases across industries is at an all time high. There’s one more thing.

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CIO

MAY 1, 2024

Gen AI takes us from single-use models of machine learning (ML) to AI tools that promise to be a platform with uses in many areas, but you still need to validate they’re appropriate for the problems you want solved, and that your users know how to use gen AI effectively. Productivity improvements can be much lower initially, though.

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