Making Your Data Strategy Work for AI

Artificial intelligence has become a hot topic, with endless possibilities for financial institutions. But bankers need data — and lots of it — to make AI-driven technologies work in the real world. They should also look at their organization’s strategy or long-term objectives to figure out the best use cases for AI, says Lee Wetherington, senior director of corporate strategy with Jack Henry. Once they know what kind of data they need and how much of it, bankers can then utilize open banking rails to tap into external data that can plug the gaps in the bank’s existing data.