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  • Mehrnoosh Sameki on Responsible AI

    In this podcast, Mehrnoosh 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.

    Mehrnoosh Sameki on Responsible AI
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    27:01
  • 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.

    From Cloud-Hosted to Cloud-Native with Rosemary Wang
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    30:28
  • 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.

    Hien Luu on ML Principles at DoorDash
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    18:24
  • 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.

    Leslie Miley on AI Bias and Sustainability
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    33:45
  • Real Time ML Pipelines Using Quix with Tomáš Neubauer

    Tomáš Neubauer will talk about Quix Streams, an open-source Python library that simplifies real-time machine learning pipelines. Tomáš will discuss various architecture designs, their pros and cons, and demonstrate a real use case of detecting a cyclist crash using Quix Streams and a TensorFlow model.

    Real Time ML Pipelines Using Quix with Tomáš Neubauer
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    17:16
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