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The ML Pond

The ML Pond

By: Qwak
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About this listen

 How do companies build their ML stacks? How do they tackle the practice of MLOps? This podcast, lead by Ran Romano VP Engineering @ Qwak, will focus on a variety of different challenges and practices that MLOPS has introduced to the industry Ran will discuss Data Science, Machine learning, Artificial intelligence and ML engineering topics. Each episode will host an interview with leaders in the industry who will answer questions about the technology and strategy challenges when it comes to building machine learning focused projects or organizations.Qwak Economics Leadership Management & Leadership
Episodes
  • E:2 ML Pipelines at a reasonable scale

    E:2 ML Pipelines at a reasonable scale
    Nov 8 2022

    In this episode Ran interviews Jacopo Tagliabue , founder and CTO of Tooso, former director of AI @ Coveo,  MLOps thought leader and much more: https://jacopotagliabue.it/

    Jacopo and Ran discuss MLOps "at reasonable scale" which was coined by Jacopo based on his experience in building and maintaining MLOps environments and infrastructure for "reasonable scale" organizations.  Additionally  Ran and Jacopo discuss some interesting landscape changes that have happened over the past few years.
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    57 mins
  • E:1 Data labeling & Crowdsourcing, what's the connection?

    E:1 Data labeling & Crowdsourcing, what's the connection?
    Oct 8 2022

    In this episode Ran interviews the CEO of Toloka AI, Olga Megorskaya.  

    Olga, very interestingly explains how your voice assistant gets the words it uses to speak, and how autonomous vehicles are manually fed by millions of images to allow them to be autonomous. How at the end of the day, there is always a need for human involvement. 

    Toloka is a unified environment to support fast and scalable AI/ML development: from data collection and annotation to model training, deployment and monitoring.
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    1 hr and 9 mins
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