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How AI orchestration has become more important than the models themselves

CIO

In just about two years since OpenAI jolted the news cycle with the introduction of ChatGPT, weve already seen the launch and subsequent upgrades of dozens of competing models. to GPT-o1, the list keeps growing, along with a legion of new tools and platforms used for developing and customizing these models for specific use cases.

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5 Things To Look For When Evaluating AI Startups

Crunchbase News

LLM customization Is the startup using a mostly off-the-shelf LLM — e.g., OpenAI ’s ChatGPT — or a meaningfully customized LLM? Different ways to customize an LLM include fine-tuning an off-the-shelf model or building a custom one using an open-source LLM like Meta ’s Llama. trillion to $4.4 trillion annually.

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What to expect from AI in the enterprise in 2025

CIO

But this isnt intelligence in any human sense. This year saw the initial hype and excitement over AI settle down with more realistic expectations taking hold. Central to this is a realization among many corporate users that theres no I in AI so far anyway. Michael Hobbs, founder of the isAI trust and compliance platform, agrees.

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Microsoft’s latest OpenAI investment opens way to new enterprise services

CIO

OpenAI has landed billions of dollars more funding from Microsoft to continue its development of generative artificial intelligence tools such as Dall-E 2 and ChatGPT. In July 2019 it became OpenAI’s exclusive cloud provider and invested $1 billion in the company to support its quest to create “artificial general intelligence.”

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Ulta Beauty embraces low-code to deliver better CX

CIO

Over the years, they’ve created a virtual make-up try-on tool using augmented reality, played around with intelligent mirrors, and used AI to build their personalization engine, which intelligently mines customer data to give product recommendations. The goal is to experiment quickly and identify solutions that appeal to customers.

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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. In other words, we are walking a mile in our customers’ shoes. Here’s a quick read about how enterprises put generative AI to work).

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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. Many, if not most, enterprises deploying generative AI are starting with OpenAI, typically via a private cloud on Microsoft Azure.