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How companies around the world apply machine learning

O'Reilly Media - Data

Strata Data London will introduce technologies and techniques; showcase use cases; and highlight the importance of ethics, privacy, and security. The growing role of data and machine learning cuts across domains and industries. Data Science and Machine Learning sessions will cover tools, techniques, and case studies.

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The key to operational AI: Modern data architecture

CIO

Recent research shows that 67% of enterprises are using generative AI to create new content and data based on learned patterns; 50% are using predictive AI, which employs machine learning (ML) algorithms to forecast future events; and 45% are using deep learning, a subset of ML that powers both generative and predictive models.

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From Machine Learning to AI: Simplifying the Path to Enterprise Intelligence

Cloudera

A Name That Matches the Moment For years, Clouderas platform has helped the worlds most innovative organizations turn data into action. Thats why were moving from Cloudera Machine Learning to Cloudera AI. Why AI Matters More Than ML Machine learning (ML) is a crucial piece of the puzzle, but its just one piece.

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Are you ready for MLOps? 🫵

Xebia

Universities have been pumping out Data Science grades in rapid pace and the Open Source community made ML technology easy to use and widely available. Both the tech and the skills are there: Machine Learning technology is by now easy to use and widely available. Big part of the reason lies in collaboration between teams.

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AI data readiness: C-suite fantasy, big IT problem

CIO

While there seems to be a disconnect between business leader expectations and IT practitioner experiences, the hype around generative AI may finally give CIOs and other IT leaders the resources they need to address longstanding data problems, says TerrenPeterson, vice president of data engineering at Capital One.

Data 201
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IT leaders: What’s the gameplan as tech badly outpaces talent?

CIO

Weve been innovating with AI, ML, and LLMs for years, he says. Gen AI-related job listings were particularly common in roles such as data scientists and data engineers, and in software development. We ask, When did you last learn a new thing? We currently have about 10 AI engineers and next year, itll be around 30.

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4 ways to build a team equipped with emerging skills

CIO

Moreover, everything we’ve experienced with gen AI so far will probably be repeated with other innovations including quantum computing, ambient intelligence, and others that haven’t been released yet. The new team needs data engineers and scientists, and will look outside the company to hire them. And there’s no end in sight.