Institutions that fail to embrace AI, machine learning and data analytics could quickly find themselves losing ground to competitors.

The Alabama bank’s artificial intelligence system ROSIE pulls information from hundreds of data sources to help employees suggest the best new product or service to offer a customer. It’s a good example of a regional trying to balance competitive pressures and cost control.

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The most popular features of the AI-driven virtual assistant include transaction search and spending alerts.

An executive at the Rhode Island company said the complexity of business lending remains an obstacle to switching to entirely automated, paperless operations.

There’s currently a focus on investing in technology and data to remain competitive, but financial firms also need to ensure they are helping workers adapt, argues Synchrony’s Margaret Keane.

Reports of improper charges by perpetrators who know the victim soared last year. Issuers and card networks are failing to tighten security, clearly label transactions and police chargebacks, critics say.

AI can help reduce risk, make more loans and find ideal members for credit unions.

JPMorgan Chase said it wants to improve training for technology-related jobs and help community college programs. The five-year initiative is one of several the company has announced in recent years in the name of community development.

An overwhelming amount of transactions can cause noncompliant payments to fall through cracks. New technology such as AI can be helpful, says Josephine McCann, a senior marketing associate at AppZen.

Regulators have taken a critical look at AML controls and handed out significant fines to financial institutions found to be lacking, according to Chad Hetherington, global vice president of professional services for NICE Actimize.

Software startups say bringing borrowers, builders and lenders onto one digital platform can remove some of the risks lenders faced during the crisis.

Leading investors say too many traditional financial institutions, out of their depth in fintech investment, end up imposing controls that slow down otherwise nimble young companies.

Merchant terminals—the longtime bedrock technology of the payments industry—are rapidly evolving, and few people have a better view than Jennifer Miles, executive vice president of North America for France-based payment terminal maker Ingenico.

Whenever Facebook adds something that more closely ties its network to shopping, service or payments, it has an immediate ripple effect. And Marketplace is becoming a major part of Facebook’s influence.

As machine learning generally benefits from lots of examples, by the time a model can be implemented to tackle the new threat, the threat has generally moved on, so frequent updates to models are necessary, writes Oliver Tearle, head of research at The ai Corporation

The lab works with more than 200 data scientists to create access to affordable credit and help financial firms match products to customers, the company says.

Financial institutions must manage compliance budgets without losing sight of primary functions and quality control, writes Chad Hetherington, global vice president of professional services for NICE Actimize.

There are a number of actions financial institutions should take to improve their application of machine learning and data analytics technologies.

A data-driven approach, regardless of human or machine involvement, is a state that organizations need to move to in order to maximize detection in the present and to ease the transition to a more primarily machine-driven future, writes Oliver Tearle, head of research at The ai Corporation.