InfoQ Homepage AI, ML & Data Engineering Content on InfoQ
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InfoQ AI, ML, and Data Engineering Trends Report - September 2023
In this episode of the podcast we'll be discussing the current trends in the domain of AI, ML and Data Engineering as part of the process of creating our annual trends report. These reports provide InfoQ readers with a high-level overview of the topics to pay attention to and also help the editorial team focus on innovative technologies.
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Ben Dart on 2023 Trends in Robotics at ICRA
Live from the venue of the International Conference on Robotics and Automation (ICRA), we are talking with Ben Dart about the trends in robotics. In this podcast, Dart and Meertens discuss the latest robotics technology as showcased at ICRA, and discuss where this technology is on the hype cycle. They also discuss how to get started with robotics yourself.
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Backstage with the QCon London 2023 Programming Committee
What makes QCon software conferences stand out from other events? The top reason has to be the content, which focuses on innovator and early adopter trends, and presenters who are expert practitioners, sharing their real-world stories.
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Getting Value out of an ML Model with Philip Howes
We are talking with Philip Howes about how to get value from your ML model as fast as possible. We will also talk about how to improve your deployed model, and what tools you can use when setting up ML projects. We conclude by discussing how stakeholders should be involved, and what makes up a complete ML team.
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InfoQ AI, ML and Data Engineering Trends Report 2022
There have been a lot of innovations and developments in the AI and ML space since last year. In this podcast, InfoQ’s AI, ML, and Data Engineering editorial team discusses the latest trends that our readers should find interesting to learn about and apply in their own organizations when these trends become mainstream technologies.