Accelerate AI with automated data lake pipelines
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.