Training

The Next Wave of AI Technologies to Enhance your Fraud Platform

Presented by 2020 Virtual Cybersecurity Summit: Fraud & Payments 30 Minutes

Artificial Intelligence in the 2010s was dominated by machine learning, with deep neural networks and reinforcement learning delivering advancements in image captioning, natural language translation, and game playing. But the unstructured, changing nature of fraud was ill-suited to the complexity of machine learning, slowing the advancement of automated fraud detection. During this session, we'll discuss:

Criteria to identify high-ROI AI opportunities including the successes and challenges Kount has seen pursuing them
How next wave AI technologies like network analysis, expert knowledge transfer, and small sample learning may be better suited to the fraud domain than supervised machine learning
Strategies for maturing AI and ML teams and broadening the ability to incorporate these technologies

Webinar Registration

In Development

Receive Invite When Available

Around the Network

Integrating Generative AI Into the Threat Detection Process

What's Inside Washington State's New My Health My Data Act

Why Legacy Medical Systems Are a Growing Concern

Closing Privacy 'Loopholes' in Reproductive Healthcare Data

How to Simplify Data Protection within your Organization

HHS OCR Leader: Agency Is Cracking Down on Website Trackers

Are We Facing a Massive Cybersecurity Threat?

CyberArk CEO Touts New Browser That Secures Privileged Users

Top Privacy Considerations for Website Tracking Tools

Checking Out Security Before Using AI Tools in Healthcare

Our website uses cookies. Cookies enable us to provide the best experience possible and help us understand how visitors use our website. By browsing fraudtoday.io, you agree to our use of cookies.