article thumbnail

Market your community bank with first-party data

Independent Banker

Illustration by The Laundry Room/Stocksy Customer data fuels efficient and effective marketing these days. Community banks own an enviable amount of data, but not all are leveraging it to its fullest extent. By Mindy Charski People share important data about themselves with their community bank in myriad ways.

article thumbnail

A Bank Automation Summit Preview: Key 2023 Banking Automation Trends

Perficient

AI is increasingly being used to automate a variety of tasks in financial services institutions, including customer service, fraud detection, and loan applications. Banks are using AI to analyze large amounts of data, make predictions, and automate complex processes.

Trends 474
Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Passing The Middle-Market Automation Exam

PYMNTS

The National Center for the Middle Market must have a definition of what the term is so that they can do data analytics and sample and survey these firms. Visa prefers to define mid-market as a set of needs and a set of customer behaviors, he said. And both the needs and behaviors change as firms grow, he said.

article thumbnail

How Can Regional Insurance Carriers Harness the Power of AI?

Perficient

AI algorithms can analyze vast amounts of data, including historical claims, customer profiles, and external factors, to assess risk more accurately. The mix of different types of new data sources and AI will be a powerful combination that today is in its infancy.

Regional 221
article thumbnail

How The API Revolution Fuels Corporates’ SaaS Fatigue

PYMNTS

The company dubbed this trend “SaaS Chaos,” but FinTech innovation slows down for no one. Last year, data from Harmon.ie Software developers saw a huge year in 2017 in terms of initial public offerings (IPOs), with data from Reuters finding more than a dozen B2B software companies going public last year.

Tools 135
article thumbnail

Financial Inclusion Using Analytics

FICO

Replacing human bias with data-driven science. As a data scientist working on credit models in the late 80s, it was a mission to help replace human bias with data-driven science. It means the inclusion of credit markets that are less developed, where a larger part of the population is underserved. Vice President, Scores.

article thumbnail

Insurance Microservices Provide Needed Agility Today

FICO

Rising risk exposure, changing personal circumstances and a continually evolving financial picture mean they need to adapt at speed, at scale, as their market dictates - or even quicker. But many firms are already constrained by siloed insights, data and conventional thinking. Cloud-Hosted Platforms Are Empowering Businesses .