Enterprises now demand in-house implementations of GenAI which needs 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 and cull such enormous 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.

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