Enterprises now demand in-house implementations of AI which need massive data feeds for training and insights, especially of “unstructured” data such as emails and files. This poses serious challenges because: (a) it is difficult and expensive to store, access, search and cull massive datasets of emails and files scattered across the enterprise, and (b) the unstructured data must also be governed for e-discovery, compliance, records and privacy. In addition, GenAI training is now trying to scale with “SLM” and “RAG” approaches.

This session outlines how to achieve both information governance and AI data feeds, while also slashing storage costs and legal liabilities.

There may be another update on the title and/or description, but we’d like to have something on the website for now if that’s alright.