Bank technology

Integrating artificial intelligence into banking operations needs to be done with a clear business purpose in mind, and the articulation of that purpose needs to come straight from the top of the organization.

There is fundamental work involved in laying a modern data foundation and adopting a flexible, data-driven, cloud-based IT architecture suitable for AI implementation. Most banks aren't there yet.

The financial services company has found that engineers report higher satisfaction and save time when using a copilot to assist with coding.

Branches won't succeed without significant investment in mobile and in-branch technology; but failing to invest in bankers themselves is just as big a problem.

The Dallas-based regional bank tapped a client for its co-pilot capabilities, where employees can message a bot instead of a human to get tech assistance.

Financial industry workers don't need to be concerned about losing their jobs to AI — they need to be concerned over which of the many opportunities they will want to seek out when the time comes.

The New York megabank is working to deploy artificial intelligence as it seeks to make its own operations more efficient. Solomon also sees an "unprecedented" opportunity in financing clients' needs as they invest in AI.