Tim Spann, an advocate of Open Source projects, has been working on the intersection of streaming and AI at Zilliz. He emphasizes the importance of a database for AI that can store and query any type of data in any mode needed. With Milvus, Towhee, Attu, and integrations with Kafka and LlamaX frameworks, Spann aims to build up a global group of unstructured data engineers and data superstars. He believes the future will see a rise in unstructured data engineering and processing like Spark, Flink, and Kafka for structured and semistructured data. The need for powerful, fast ways to do unstructured data processing and Vector ETL is evident and growing.