InfoQ Homepage AI, ML & Data Engineering Content on InfoQ
About this Podcast
Intended for architects and senior developers.
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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.
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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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Q&A moderated by InfoQ
Building Field-Level Lineage for Modern Data Systems
Lineage is a critical component of any root cause, impact analysis, and overall analytics heath assessment workflow. But it hasn’t always been easy to create. In this session, you'll tackle this challenge head-on by leveraging some of the most popular tools in the modern data stack.