Radio DaTa

Data Journey with Yetunde Dada & Ivan Danov (QuantumBlack) - Kedro (an open-source MLOps framework) - introduction, benefits, use-cases, data & insights used for its development

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Yetunde Data and Ivan Danov both live in London, work at QuantumBlack, and develop Kedro which is an open-source MLOps project. Yetunde works as a Director of Product Management, while Ivan works as a Senior Principal Machine Learning Engineer and the Engineering Director of Kedro.


QuantumBlack, a McKinsey company is a data science and advanced analytics company that works with customers from various industries. QuantumBlack was founded in 2009 and has its headquarters in London, United Kingdom. The company became a part of McKinsey & Company, a global management consulting firm, in 2015, and now operates as part of McKinsey's global analytics practice.


Topics that we talk about:

  • What Kedro is and what problems it solves
  • Reasons why different groups of data practitioners use Kedro
  • Differences between companies that use and don't use Kedro
  • Companies that use Kedro in production e.g. Telksomsel (Indonesia's largest telecom) - blog post
  • Data and statistics that describe the adoption of Kedro
  • When to use Kedro vs. Jupyter Notebooks
  • Running Kedro everywhere, on all clouds and on-premise using various Kedro plugins e.g. VertexAI, Azure ML, SageMaker - blog post
  • Using data, analytics, and community-driven insights in the product development of Kedro e.g. Kedro-Telemetry, Github, online training
  • Current challenges, milestones, and focus areas for Kedro e.g. simpler configuration
  • Trends in the MLOps landscape e.g. so many MLOps tools, LLMOPs
  • Integration between Iguazio & QuantumBlack, and its plans for Kedro


The podcast was recorded by Adam Kawa (GetInData).


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