The journey from training a simple model to creating a production machine learning pipeline is often seen as challenging. Typically, you have to overcome hurdles such as siloed data, inconsistent tooling and overly complex infrastructure.
The key to productionizing ML is finding a solution that’s scalable, serverless and automated at every step.
Learn how the Databricks Lakehouse Platform simplifies your journey by delivering a unified, data-centric ML environment that uses the same platform, tools and governance for machine learning you already use for the rest of your data.
Watch now to learn how to:
Co-founder and VP of Engineering
Staff Product Manager, Machine Learning
Senior Director Product Management
SVP Engineering and Product