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Generative AI in the Enterprise

O'Reilly on Data

Generative AI has been the biggest technology story of 2023. In enterprises, we’ve seen everything from wholesale adoption to policies that severely restrict or even forbid the use of generative AI. Our survey focused on how companies use generative AI, what bottlenecks they see in adoption, and what skills gaps need to be addressed.

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The 10 Essential SaaS Trends You Should Watch Out For In 2020

datapine

“Software as a service” (SaaS) is becoming an increasingly viable choice for organizations looking for the accessibility and versatility of software solutions and online data analysis tools without the need to rely on installing and running applications on their own computer systems and data centers. How will AI improve SaaS in 2020?

Software 314
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Cloudera AI Inference Service Enables Easy Integration and Deployment of GenAI Into Your Production Environments

Cloudera

Welcome to the first installment of a series of posts discussing the recently announced Cloudera AI Inference service. Today, Artificial Intelligence (AI) and Machine Learning (ML) are more crucial than ever for organizations to turn data into a competitive advantage. This is where the Cloudera AI Inference service comes in.

Metrics 73
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MLOps Helps Mitigate the Unforeseen in AI Projects

DataRobot Blog

The latest McKinsey Global Survey on AI proves that AI adoption continues to grow and that the benefits remain significant. At the same time, AI remains complex and out of reach for many. For example, a recent IDC study 1 shows that it takes about 290 days on average to deploy a model into production from start to finish.

Metrics 145
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Generative AI’s killer enterprise app just might be ERP

CIO Business Intelligence

Enterprise resource planning (ERP) is ripe for a major makeover thanks to generative AI, as some experts see the tandem as a perfect pairing that could lead to higher profits at enterprises that combine them. Instead of monotonously and manually performing these tasks themselves, employees will act as human reviewers of the AI-generated work.”

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Humans and AI: Should We Describe AI as Autonomous?

DataRobot

Beware the hype about AI systems. Although AI is powerful and generates trillions of dollars of economic value across the world, what you see in science fiction movies remains pure fiction. According to the dictionary, autonomous means “having the freedom to govern itself or control its own affairs.” Is AI Autonomous?

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Minding Your Models

DataRobot Blog

Using AI-based models increases your organization’s revenue, improves operational efficiency, and enhances client relationships. You need to know where your deployed models are, what they do, the data they use, the results they produce, and who relies upon their results. That requires a good model governance framework.

Modeling 105