Part 10/11:
In both examples, the key takeaway is the critical role of real-time, open-format data platforms in supporting scalable, AI-powered workflows.
Summary and Final Thoughts
The speaker concluded by emphasizing the need for a unified, integrated approach to data management—one that aligns with the demands of generative AI, agentic architectures, and real-time analytics. This involves:
Developing open, scalable, and automated data ecosystems.
Building platforms that are nimble, intelligent, and capable of processing data instantaneously.
Embedding AI into governance, quality, and deployment pipelines to ensure responsible and trustworthy AI.