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Know before you go: 6 lessons for enterprise GenAI adoption

CIO

Many organizations know that commercially available, “off-the-shelf” generative AI models don’t work well in enterprise settings because of significant data access and security risks. We’re using our own databases, testing against our own needs, and building around specific problem sets.

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Should you build or buy generative AI?

CIO

Since the release of ChatGPT last November, interest in generative AI has skyrocketed. But many organizations are limiting use of public tools while they set policies to source and use generative AI models. In the shaper model, you’re leveraging existing foundational models, off the shelf, but retraining them with your own data.”

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Introducing the GenAI models you haven’t heard of yet

CIO

Ever since OpenAI’s ChatGPT set adoption records last winter, companies of all sizes have been trying to figure out how to put some of that sweet generative AI magic to use. Companies are looking at Google’s Bard, Anthropic’s Claude, Databricks’ Dolly, Amazon’s Titan, or IBM’s WatsonX, but also open source AI models like Llama 2 from Meta.

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How Financial Services and Insurance Streamline AI Initiatives with a Hybrid Data Platform

Cloudera

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. It’s the most revolutionary technological development in at least a generation.

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AI in Short-Term Rentals: How Machine Learning Shapes STR

Altexsoft

The short-term rentals (STR) market has been expanding rapidly in recent years, with popular vacation rental platforms like Airbnb, Booking.com, and VRBO transforming how people travel and lodge. As this industry progresses, property owners and managers constantly search for ways to improve their operations and outpace their competition.