AUTOMATE DATA ENGINEERING PIPELINES TO POWER ML WORKFLOWS -

AUTOMATE DATA ENGINEERING PIPELINES TO POWER ML WORKFLOWS

One of the biggest challenges with machine learning in the enterprise is ensuring ML data is up to date, clean, and delivered to data science teams in ways that you can use it immediately.

Learn how you can:

Increase productivity across teams with purpose-built tooling designed for speed — enabling data engineers to automate data pipelines, and data scientists to focus on building AI use cases
Collaborate and communicate seamlessly across CDP Data Engineering and Machine Learning
Securely share data, outputs, and ML models in a single unified platform

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