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.
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.
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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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Shawn Wang (swyx), head of developer experience at Airbyte, and Daniel Bryant discussed the rise of remote development environments. Topics covered included whether remote development experiences are good enough to see the death of local(host) development, what a wishlist might look like for the ultimate developer experience, and how cloud native organizations are currently developing software.
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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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In this episode, Marco Valtas, technical lead for cleantech and sustainability at ThoughtWorks North America, discusses the Principles of Green Software Engineering. The principles help guide software decisions by considering the environmental impact. The principles are intended for everyone involved in software, and emphasize that sustainability, on its own, is a reason to justify the work.
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Live from the venue of the QCon London Conference we are talking with Omar Sansevier about Hugging Face, the limitations and biases of machine learning models, the carbon emitted when training large scale machine learning models, and democratizing good ML practices.
Conversations on building intentional engineering culture: team dynamics, leadership, and software management. For engineering leaders, managers, and the developers they support.
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In this podcast, Shane Hastie spoke to Jonathan Schneider and the development team from Moderne about their experiences using an immersive VR environment for collaborative software development.
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In this podcast, Shane Hastie, Lead Editor for Culture & Methods spoke to Dr Natalie Baumgartner of Achievers Workforce Institute about the recently released State of Engagement report, how recognition needs to be far more than just lip service and how managers can engage effectively with their people.
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In this podcast, Shane Hastie, spoke to Missy Lawrence Johnston about the human skills engineers and engineering leaders need to build in the digital age.
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Shane Hastie spoke to Mingxi Wu, VP of Engineering for TigerGraph about their engineering culture, motivating engineers through empowerment and shifting from a passenger to a driver mindset.
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In this podcast Shane Hastie, Lead Editor for Culture & Methods spoke to Idit Levine, founder of Solo.io, who is on the shortlist of women-founded Unicorn status startups in the world.
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