Artificial intelligence

Traditionally, the intelligent document processing industry has relied on machine learning to extract data from unstructured documents. The issue is that this solely relies on pattern recognition which limits the level of accuracy of data extraction, is costly and takes months to build and train the data extraction model.

Customers expect a consistent and relevant experience with every interaction and you need a solution that can automate the process while ensuring each communication is compliant.

Though generative AI has limitations and risks, there is a cost to ignoring it, according to Ryan Favro, a managing principal at Capco.

Immersive technologies and automation are also on the list of technologies that are here, employees want them and companies like banks need to deal with them, says Phil Simon, author of a new book called The Nine: The Tectonic Forces Reshaping the Workplace.

The world of business is evolving quickly—and the cloud is powering the change. PwC's Industry Cloud for Banking helps financial services firms deliver the personalized products and services that today's customers expect.

Leaders of many of the biggest tech companies recently signed an open letter calling on all AI labs to immediately pause the training of advanced artificial intelligence systems. Seth Dobrin, advisor to the Responsible AI Institute and former chief AI officer at IBM, shares his thoughts on where banks should be careful about using AI.

Dr. Aniket Bera, associate professor at the department of computer science at Purdue University, explains how AI can be used in the financial services industry to detect when a customer is angry or depressed or even when an employee is upset or about to commit fraud.