For companies like Global Retail Corp., the switch to federated learning isn't just about technology, it's about finding a more efficient, secure, and effective way to harness the power of AI. As more enterprises face similar challenges, federated learning is poised to become the standard approach for implementing generative AI in the enterprise.
Given the architectural and cost advantages of using these mechanisms to couple your enterprise's data with a public LLM's vast knowledge, I'm not sure why it's not a bigger deal. It's the easiest way.
The path to federated learning begins with thoroughly understanding your current data landscape. Start by conducting a comprehensive assessment of where your data lives, how it's governed, and how it flows through your organization.
The technical groundwork requires careful attention to detail. Your organization needs standardized data labeling practices, robust edge computing capabilities where necessary, and reliable network connectivity between data sources.
Collection
[
|
...
]