Abrigo

JUNE 23, 2020

Learn from your peers and hear what problems they are dealing with in our Abrigo Community, exclusive to our customers. Community financial institutions are often tasked with doing more with less. We understand the trust you put in us when you use our BSA/AML and fraud software and we make the same investment in your program’s success.

Software 195

Software Community Fraud Resources 195

FICO

DECEMBER 5, 2022

Top 5 Surprises from FICO’s Fraud and Digital Banking Survey. Our survey found that good fraud protection is paramount for customers - even though they themselves may exaggerate income or claims. A report released by the FTC in February 2022 indicates a 71% increase in fraud in 2021, which cost consumers roughly $5.8 FICO Admin.

Survey 52

Survey Fraud Digital Banking social media 52

FICO

JULY 24, 2018

This is the fourth in my series on five keys to using AI and machine learning in fraud detection. In fraud detection, a model will benefit from the experience gained by ingesting millions or billions of examples, consisting of both legitimate and fraudulent transactions. It’s the computing equivalent of human experience.

Fraud 49

Fraud Training Analytics Data 49

Gonzobanker

DECEMBER 14, 2023

Not the financial industry’s “Troublemakers ” – those regional and community banks, credit unions and supporting fintech entrepreneurs who continue to engage customers and communities and find niches that keep the grassroots of our country’s financial system alive and kicking. We are in awe. Seriously in awe.

Fintech 194

Fintech Community Regional Technology 194

FICO

JULY 18, 2022

FICO leverages machine learning (ML) in solutions ranging from fraud detection to marketing. To drive greater financial inclusion across underserved communities, FICO has developed innovative new credit scores that incorporate new and robust alternative data sources such as telecom payments. Tue, 07/02/2019 - 02:45. by Can Arkali.

Analytics 52

Analytics Lending Data Industry 52

NCR

JULY 12, 2017

When it comes to fraud detection and prevention, for example, big data analytics tools can offer banks much better, real-time insight into potentially fraudulent transactions. A few key use cases for big data have been around for some time. But let’s not underestimate the potential that technology brings forth.

Data 80

Data Analytics Big Data Community Bank 80

PYMNTS

MARCH 10, 2017

In a world where convergence is coming faster than any white paper can articulate, O’Connell said it’s more important than ever for payments players to ensure their payments networks are responsible, safe, secure and fair. When you have that consortium data, fraud becomes much easier to manage and stay ahead of,” O’Connell noted.

Payments 168

Payments Innovation Security Community 168