Join Andy to dive into the intricacies of the data science lifecycle and learn how data products should be the connective tissue between data discovery, model development, and model deployment.

Discover the key elements of a robust reference architecture for hybrid model deployment, ensuring seamless integration and scalability. Moreover, we’ll emphasize the transformative power of data driven innovation by discussing how the ability to access and query unknown data with unknown questions drives valuable advancements. Learn how embracing the unknown can be a catalyst for creativity and innovation in your AI initiatives.

Session takeaways:
– Data Products Integration: Leverage data products as vital connectors in the data science lifecycle.
– Hybrid Model Deployment: Implement a flexible hybrid architecture for seamless model deployment.
– Innovation through Unknown Data: Drive AI innovation by accessing and querying unknown data with unknown questions.