InfoQ Homepage Architecture & Design Content on InfoQ
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The Evolution of Evolutionary Architecture with Rebecca Parsons
In Evolutionary Architectures, the book she co-authored, Dr. Rebecca Parsons described the principles and practices that allow architecture to evolve. In this episode of the podcast, we talk about those principles, how they’ve changed between the first and second editions of the book, and what changes we might see in the next few years.
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Mehrnoosh Sameki on Responsible AI
In this podcast, Mehrnoosh Sameki discusses the importance of responsible AI, the principles behind it, and the challenges in ensuring fairness and transparency in AI systems. She also highlights various open-source tools and approaches for developers to incorporate responsible AI practices into their machine learning models and ensure better decision-making and ethical outcomes.
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From Cloud-Hosted to Cloud-Native with Rosemary Wang
In this episode of the podcast, Rosemary Wang talks about the patterns and practices that help you move from cloud-hosted to cloud-native architecture and maximize the benefit and use of the cloud. The discussion covers essential application and infrastructure considerations, as well as cost and security concerns you need to think about when approaching a cloud-native architecture.
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Hien Luu on ML Principles at DoorDash
Live from the venue of the QCon London Conference, we are talking with Hien Luu, head of ML Platform at DoorDash. In this podcast, Luu discusses the main principles and strategies that DoorDash uses to scale and evolve MLOps, as well as some tips for those who want to get started with MLOps.
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Leslie Miley on AI Bias and Sustainability
In this podcast, Leslie Miley shares his insights on AI bias, sustainability, and the potential impact of AI on society. He emphasizes the importance of understanding and mitigating the harm these technologies can cause, while also discussing the responsibilities of developers, tech companies, and individuals in ensuring a more responsible and ethical approach to AI development.