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, AI 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.