{"version":"1.0","type":"rich","provider_name":"Acast","provider_url":"https://acast.com","height":250,"width":700,"html":"<iframe src=\"https://embed.acast.com/$/624cc6e4a259030012cf5c87/6444e0bff659a80010858a2d?\" frameBorder=\"0\" width=\"700\" height=\"250\"></iframe>","title":"Data Journey with Yetunde Dada & Ivan Danov (QuantumBlack) - Kedro (an open-source MLOps framework) - introduction, benefits, use-cases, data & insights used for its development","thumbnail_width":200,"thumbnail_height":200,"thumbnail_url":"https://open-images.acast.com/shows/624cc6e4a259030012cf5c87/1682247941877-537ce86f006a6ba179e6e3827f26a704.jpeg?height=200","description":"<p><a href=\"https://www.linkedin.com/in/yetudada/\" rel=\"noopener noreferrer\" target=\"_blank\">Yetunde Data</a> and <a href=\"https://www.linkedin.com/in/idanov/\" rel=\"noopener noreferrer\" target=\"_blank\">Ivan Danov</a> both live in London, work at <strong>QuantumBlack</strong>, and develop <a href=\"https://kedro.org/\" rel=\"noopener noreferrer\" target=\"_blank\"><strong>Kedro</strong></a> which is an open-source <strong>MLOps</strong> 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.</p><p><br></p><p>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 &amp; Company, a global management consulting firm, in 2015, and now operates as part of McKinsey's global analytics practice.</p><p><br></p><p>Topics that we talk about:</p><ul><li>What <strong>Kedro</strong> is and what problems it solves</li><li>Reasons why different groups of <strong>data practitioners use</strong> <strong>Kedro</strong></li><li>Differences between companies that use and don't use Kedro</li><li>Companies that use Kedro in production e.g. <strong>Telksomsel</strong> (Indonesia's largest telecom) - <a href=\"https://medium.com/life-at-telkomsel/how-we-build-a-production-grade-data-pipeline-7004e56c8c98\" rel=\"noopener noreferrer\" target=\"_blank\">blog post</a></li><li>Data and statistics that describe the <strong>adoption of Kedro</strong></li><li>When to use <strong>Kedro vs. Jupyter Notebooks </strong></li><li>Running<strong> Kedro everywhere</strong>, on all clouds and on-premise using various <strong>Kedro plugins</strong> e.g. VertexAI, Azure ML, SageMaker - <a href=\"https://getindata.com/blog/running-kedro-everywhere-machine-learning-pipelines-kubeflow-vertex-ai-azure-airflow/\" rel=\"noopener noreferrer\" target=\"_blank\">blog post</a></li><li>Using <strong>data, analytics, and community-driven insights</strong> in the <strong>product development</strong> of Kedro e.g. <a href=\"https://github.com/quantumblacklabs/kedro-telemetry\" rel=\"noopener noreferrer\" target=\"_blank\"><strong>Kedro-Telemetry</strong></a>, Github, online training</li><li>Current challenges, <strong>milestones</strong>, and <strong>focus areas</strong> for Kedro e.g. simpler configuration</li><li>Trends in the <strong>MLOps</strong> <strong>landscape</strong> e.g. so many MLOps tools, <strong>LLMOPs</strong></li><li>Integration between <strong>Iguazio &amp; QuantumBlack</strong>, and its plans for Kedro</li></ul><p><br></p><p>The podcast was recorded by <a href=\"https://www.linkedin.com/in/adamkawa/\" rel=\"noopener noreferrer\" target=\"_blank\">Adam Kawa</a> (<a href=\"https://getindata.com/\" rel=\"noopener noreferrer\" target=\"_blank\">GetInData</a>).</p><p><br></p><p><strong>Subscribe to Radio Data</strong> on<a href=\"https://open.spotify.com/show/4BZj15LtVmk1e8mcCgh9KH?si=bc5a160bd513437d\" rel=\"noopener noreferrer\" target=\"_blank\"> Spotify</a>,<a href=\"https://www.youtube.com/channel/UCasSODfRGOcXOPooM6OvSig/featured\" rel=\"noopener noreferrer\" target=\"_blank\"> YouTube</a>, and<a href=\"https://podcasts.google.com/feed/aHR0cHM6Ly9mZWVkcy5hY2FzdC5jb20vcHVibGljL3Nob3dzL3JhZGlvLWRhdGE\" rel=\"noopener noreferrer\" target=\"_blank\"> Google Podcasts</a> to get notifications about future podcast episodes.</p><p><strong>Find more</strong> about our <strong>data</strong>, <strong>analytics</strong>, <strong>cloud</strong>, and <strong>MLOps</strong> projects and services at <a href=\"https://getindata.com/\" rel=\"noopener noreferrer\" target=\"_blank\">getindata.com</a>.</p>","author_name":"Adam Kawa"}