MLOps London May - Talks on Data Quality and Production-Grade Pipelines

📽️ Livestream: https://youtu.be/6SjLx4dsGok
🧑 In Person: https://forms.gle/joLzvCfNVHktY9Mn7
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MLOps London is back again in May with more talks on production machine learning, DevOps and Data Science. The plan, as usual, is to run another hybrid event so please come along in person if you're local. If you're further afield you will still be able to join the stream.

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AGENDA:
⏱️ 6.00pm onwards
🍺 Arrival, drinks and networking

⏱️ 6.30pm
🎤 Kick off and welcome

⏱️ 6.40pm
🎤 Driving ML Data Quality with Data Contracts
🧑 Andrew Jones - Principal Engineer @ GoCardless

Andrew will introduce the concept of Data Contracts and talk about how we at GoCardless are using it to improve the quality and reliability of data by empowering data consumers - including our Data Scientists - to work closely with the data generators and get the data they really need to power highly effective ML models and other data-driven products.

⏱️ 7.25pm
🎤 Designing Production Grade MLOps Pipeline using KubeFlow
🧑 Srivalsan Mannoor - Cloud Engineer @ Amazon

This tech talk talks about designing MLOps Pipeline by leveraging Kubernetes services and the talk also covers the efficient ways of building pipeline taking into consideration the security and cost optimisation as well.

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If you are attending in person please complete the registration form (link at top of this description)