A framework for AI systems built on LLMs with a data layer called Data 360 that integrates multiple sources. The speaker's company acquired Informatica and MuleSoft to support this unified data approach, arguing that without clean, connected data, AI performance suffers.
We believe at the very base of the stack is the large language model. It's an incredibly new but exciting part of our architecture. And call it, that's the beginning of our architecture. And then the next stage of it is really data itself, that data that is federated, that means, you know, connected to other data sources, that is integrated, that is harmonized, that all of that data together, we call it Data 360. We just bought Informatica. MuleSoft, that, that data layer is critical to getting your AI right. If you don't have your data right, your AI is not going to be as strong as it could be.
