When it comes to success with Generative AI, it’s all about the data — specifically, your data. Powerful deep learning models are becoming smarter, more accessible and cost-effective. However, it’s only by combining these with rich proprietary datasets and operational data streams that organizations can find true differentiation.
This whitepaper discusses the criticality of orchestrated data pipelines for the most common use cases in Generative AI, and provides recipes for your team to get started today. It covers:
- Why Apache Airflow® is key to managing complex data and machine learning workflows
- How to build differentiated, resilient, and governed AI applications tuned for your business
- Steps to take Generative AI applications from prototypes to production
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