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Beyond the hype: 4 use cases that show what’s actually working with gen AI

CIO

In a survey of 2,300 IT decision makers that IBM released in December, 47% say theyre already seeing ROI from their AI investments, and 33% say theyre breaking even on AI. According to experts and other survey findings, in addition to sales and marketing, other top use cases include productivity, software development, and customer service.

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2021 Data/AI Salary Survey

O'Reilly Media - Ideas

In June 2021, we asked the recipients of our Data & AI Newsletter to respond to a survey about compensation. The average salary for data and AI professionals who responded to the survey was $146,000. To nobody’s surprise, our survey showed that data science and AI professionals are mostly male.

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Galileo emerges from stealth to streamline AI model development

TechCrunch

Finding these issues is often a major pain point for data scientists. According to one recent survey (from MLOps Community), 84.3% ” Galileo fits into the emerging practice of MLOps, which combines machine learning, DevOps and data engineering to deploy and maintain AI models in production environments.

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What is Oracle’s generative AI strategy?

CIO

While Microsoft, AWS, Google Cloud, and IBM have already released their generative AI offerings, rival Oracle has so far been largely quiet about its own strategy. While AWS, Google Cloud, Microsoft, and IBM have laid out how their AI services are going to work, most of these services are currently in preview.

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Equalum lands new capital to help companies build data pipelines

TechCrunch

By 2025, driven partly by the need for digital services, 85% of enterprises will have a cloud-first principle, according to Gartner. In a recent MuleSoft survey , 84% of organizations said that data and app integration challenges were hindering their digital transformations and, by extension, their adoption of cloud platforms.

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Predibase exits stealth with a low-code platform for building AI models

TechCrunch

Data science teams are stymied by disorganization at their companies, impacting efforts to deploy timely AI and analytics projects. In a recent survey of “data executives” at U.S.-based and low-code data engineering platform Prophecy (not to mention SageMaker and Vertex AI ). healthcare company.”

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How companies are building sustainable AI and ML initiatives

O'Reilly Media - Ideas

A recent survey investigated how companies are approaching their AI and ML practices, and measured the sophistication of their efforts. The current generation of AI and ML methods and technologies rely on large amounts of data—specifically, labeled training data. Data scientists and data engineers are in demand.