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InfoQ's podcasts are interviews with the software architects, senior engineers, and team leaders who build and operate production systems. Episodes work through the tradeoffs behind real decisions in software architecture, AI and ML engineering, and engineering culture. Guests are practitioners and QCon speakers describing what worked and what broke in systems they built.

The InfoQ Podcast

About this Podcast

Interviews with the software architects and senior engineers who build and run production systems. Each episode works through the tradeoffs behind a real decision in architecture, AI engineering, and development.

Architecture & Design

43:46
Cover image for InfoQ Architecture and Design Trends in 2024

InfoQ Architecture and Design Trends in 2024

The panel discussion in this episode is around the annual InfoQ Architecture and Design Trends Report. InfoQ trends reports provide the InfoQ readers with a high-level overview of the topics to pay attention to this year, and also help the editorial team focus on innovative technologies across all the content on InfoQ.

Featuring: Eran Stiller, Daniel Bryant, Blanca Garcia Gil, Rafał Gancarz, Thomas Betts Published: ON Apr 5, 2024

AI, ML & Data Engineering

50:00
Cover image for Generally AI Episode 5: Making Waves

Generally AI Episode 5: Making Waves

In this episode, hosts explore the fascinating world of audio waves by discussing the history of Fourier analysis and how the Fast Fourier Transform (FFT) revolutionized signal processing with its efficiency. They then shift to song recognition apps like Shazam and their underlying algorithms: breaking songs into snippets and using techniques such as the FFT or neural networks.

Featuring: Anthony Alford, Roland Meertens Published: ON Feb 22, 2024

Engineering Culture Podcast

About this Podcast

Conversations on building intentional engineering culture: team dynamics, leadership, and software management. For engineering leaders, managers, and the developers they support.

Development

Architecture & Design

Culture & Methods

AI, ML & Data Engineering

DevOps

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