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AI Adoption in the Enterprise 2021

O'Reilly on Data

First, we wanted to understand how the use of AI grew in the past year. We were also interested in the practice of AI: how developers work, what techniques and tools they use, what their concerns are, and what development practices are in place. Relatively few respondents are using version control for data and models.

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What is Oracle’s generative AI strategy?

CIO Business Intelligence

The service also comes with Nvidia’s foundation models, such as BioNeMo and Nvidia Picasso, along with AI training and governance frameworks. AWS offers foundation models via its generative AI-based service Amazon Bedrock , while Microsoft offers APIs for GPT models via its Azure OpenAI service.

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Enterprise IT moves forward — cautiously — with generative AI

CIO Business Intelligence

Kellen, CIO at the University of California San Diego (UCSD), says employees are already using ChatGPT to write code as well as job descriptions. The models respond to written requests to generate a variety of responses ranging from text documents and images to programming code. Generative AI can facilitate that.

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

CIO Business Intelligence

AI is now a board-level priority Last year, AI consisted of point solutions and niche applications that used ML to predict behaviors, find patterns, and spot anomalies in carefully curated data sets. Once you have it in the workplace, you get 1,000 use cases because everyone wants to do it.” And nobody has to get sold on it, he adds.

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Generative AI in the Enterprise

O'Reilly on Data

In enterprises, we’ve seen everything from wholesale adoption to policies that severely restrict or even forbid the use of generative AI. In enterprises, we’ve seen everything from wholesale adoption to policies that severely restrict or even forbid the use of generative AI. What’s the reality? Only 4% pointed to lower head counts.

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Where Programming, Ops, AI, and the Cloud are Headed in 2021

O'Reilly on Data

We’ve included search data in the graphs, although we have avoided using search data in our analysis. Usage data shows what content our members actually use, though we admit it has its own problems: usage is biased by the content that’s available, and there’s no data for topics that are so new that content hasn’t been developed.