AI/ML Within a Data Lakehouse Architecture
Is your data infrastructure ready to support agentic AI, generative AI, and traditional AI?
These different types of AI have many things in common, but there are also significant differences that you must consider when building your AI data infrastructure. At the same time, you can’t neglect your other workloads. It’s still imperative for your solution to support BI, data analytics, and data science.
A modern data lakehouse can be the foundation that supports all your data needs. Download this paper today for an in-depth explanation of data lakehouse reference architecture and its capabilities for supporting AI/ML workloads.