Machine learning

Leveraging AI and machine learning can help credit unions focus on doing what they do best: forging connections with members.

Many new artificial intelligence and machine learning methods used for underwriting are not fully equipped to predict defaults.

Artificial intelligence has given merchants and banks handling payment data a fighting chance against fraud because it essentially pits machine against machine in compiling data and establishing prevention algorithms.

Banks are so caught up in the newest technology trends that they lose sight of the need to build a talented workforce and a purpose-driven organization.

Regions, Citizens, BMO and others are adopting principles IBM unveiled at Davos.

"To wake up one day and assume everyone in America is going to be above average at math and above average rational is crazy," says Ethan Bloch, whose app is designed to help people achieve financial health.

Square has buttressed its deep-learning with the purchase of Dessa, a Toronto-based machine learning startup that specializes in advanced risk management.

Yes, bots are taking the routine calls from business cardholders, but make no mistake — these are demanding clients from around the world who phone in from loud airports, on bad connections and speak with heavy accents.

The fintech community was both surprised and energized by recent news that Visa has agreed to acquire Plaid, one of the nation’s largest fintech platforms for financial data analytics.

Werner Loots, the bank’s first head of transformation, is helping the bank redesign how work is done, then streamlining and digitizing as much as possible.