How to avoid data paralysis with a practical AI data strategy

The IT industry consensus seems to be that deploying reliable, enterprise-scale AI requires first getting the data in order. But dissenting voices say that's not necessarily the case and that it's better to achieve small wins earlier than wait for perfect data and risk losing out on opportunities.
That doesn't mean neglecting data cleansing, integration and unification. Those steps are necessary for agentic AI to work across the entire enterprise. And they can be done in parallel with the initial AI app development.
In this episode of Enterprise Apps Unpacked, we explore how to implement a…