InfoQ Homepage AI, ML & Data Engineering Content on InfoQ
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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.
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Handling High Demand Ticket On-Sales with Anderson Parra and Vitor Pellegrino
Live from the venue of the QCon London Conference we are talking with Vitor Pellegrino and Anderson Parra. They will talk about how SeatGeek is handing ticket on-sales where a large amount of users use their service in a short time, and which engineering challenges this brings.
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ML Tools to Accelerate Your Work with Cassie Breviu
Live from the venue of the QCon London Conference, we are talking with Cassie Breviu. She will talk about how she got started with AI, and what machine learning tools can accelerate your work when deploying models on a wide range of devices. We will also talk about GitHub Copilot and how AI can help you be a better programmer.
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Jaxon Repp on HarperDB Distributed Database Platform
In this podcast, Srini Penchikala spoke with Jaxon Repp, head of product at HarperDB, about their distributed database platform, edge persistence, and custom functions.
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AI, ML and Data Engineering InfoQ Trends Report
How AI, ML and Data Engineering evolved in 2021 as seen by the InfoQ editorial team. Topics discussed include deep learning, edge deployment of machine learning algorithms, commercial robot platforms, GPU and CUDA programming, natural language processing and GPT-3, MLOps, and AutoML.