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Latest Videos

[MLOPS] From experiment management to model serving and back. A complete usecase, step-by-step!

The recording of our talk at the MLOps World summit. This talk covers a complete example, starting from experiment management and data versioning, building up into a pipeline and finally deploying using ClearML serving with drift monitoring. We then induce artifical drift to trigger the monitoring alerts and go back down the chain to quickly retrain a model and deploy it using canary deployment.

Accelerating the Banking Transformation with Digital Assurance

Many banks make the error of attempting several independent digital efforts, which fail because they lack the support or coordination necessary to compete with digital-native solutions. Instead, a top-down strategy incorporating digital systems, customer experience platforms, apps, and infrastructure is required for banking's digital transformation.

MLOps World Toronto: MLOps Beyond Training Simplifying and Automating the Operational Pipeline

Most data science teams start with building AI models and only think about operationalization later. But taking a production-first approach and automating components is the key to generating measurable ROI for the business. In this talk, Iguazio’s co-founder and CTO, Yaron Haviv, explains how to simplify and automate your production pipeline to bring data science to production faster and more efficiently. He displays real live use cases while going through all the different steps in the process.

Demo - Exploiting a data fabric to drive data literacy and data democratisation

Join Talend experts to learn how to drive data literacy and adoption throughout your organisation with a seamless data fabric. Discover how to balance collaboration, ease of use and governance to deliver trusted data insights and outcomes at the speed of the business.