The Next Big Thing: will Enterprise AI revolutionise your operation?

OVERVIEW

Talk of AI is all around. ChatGPT has paved the way for consumer adoption and some pioneers of Generative AI in business are seeing early success in commercial areas, but what are the compelling use cases for Enterprise AI? A familiar obstacle remains: disparate, unstructured data that cannot always be trusted as being accurate and secure.

How can enterprise data be unified and normalised to enable AI to support, build, transform and manage?

Join the dots

Business across the board often struggle to align systems, processes and architecture between departments, business units and territories. Success with AI is only likely to come to enterprises achieving unification of disconnected elements and data…how do you best achieve that?

Getting the buy in

For any transformation programme to succeed in harnessing the power of Enterprise AI the principles need to be fully embedded into processes and to be fully adopted by your people. How can you integrate the tech with your teams and unleash AI’s potential?

Build trust

AI can be employed to manage, analyse and produce trillions of gigabytes of information. But there are fine lines to be trodden when it comes to assessing which data is usable, trustworthy and secure. What do you need to do to build trust for all your stakeholders?