Automating Data Lake Pipelines For AI

As AI becomes vital for business, data engineers must quickly provide precise, model-ready data. Traditional tools, however, often involve manual coding and can't fully prepare and catalog the varied data AI requires.

This e-book covers building AI- and ML-driven data pipelines for AI-ready data, including:

Considerations for AI data lakes: storage, compute, quality
Using machine learning and generative AI to speed up data ingestion, quality checks, processing, and storage
A checklist for successful AI data pipeline automation
And more

Read on now to discover how automated data lake pipelines can ensure accurate data for advanced AI applications.

Vendor:: Qlik
Posted:: Jul 30, 2024
Published:: Aug 9, 2024
Format:: PDF
Type:: eBook

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