Generative AI and operational machine learning play crucial roles in the modern data landscape. They enable organizations to leverage their own data to power new products, increase customer satisfaction, and drive innovation and business opportunities.
But the field is still maturing, so leaders are also met with a constantly changing set of requirements and best practices — and figuring out the right approach and the best technical components is key to the success of delivering production-ready AI applications that bring immediate value to end users.
Join us for this virtual roundtable where resident experts from Weaviate and Astronomer will explore:
- How they are providing modern infrastructure for world class AI applications
- Why orchestrators like Apache Airflow are at the core of many of these projects, and how it enables teams to build production-quality applications with the latest advances in ML and AI
- Top strategies to harnessing the potential of AI and natural language processing
- Why vector databases like Weaviate enable organizations to quickly scale AI projects from prototype to production while optimizing for cost
- A demo of how to use Astro to orchestrate Airflow pipelines together with Weaviate to ingest and index data for an e-commerce application
