Skip to content

Registration Open for FREE Webinar: ‘Detecting Fraud with Hybrid AI’ (October 28, 2020)

by on September 24, 2020

In collaboration with BigML partner, INFORM Gmbh, we’re pleased to bring the BigML community a new educational webinar: Machine Learning Fights Financial Crime. This FREE virtual event will take place on October 28, 2020, at 8:00 AM PDT / 9:00 AM PDT and it’s the ideal learning opportunity for Financial institutions, banking sector professionals, credit professionals, risk advisers, crime fighters, fraud professionals, and anyone interested in finding out about the latest financial crime-fighting and risk analysis strategies and trends.

Moving from Lab to Production

Financial institutions must innovate to stop the onslaught of fraudulent transactions. The utilization of Machine Learning as a tool for fraud detection is trending. Combining Machine Learning with existing intelligent and dynamic rule sets produces a sustainable strategy to address this challenge. Hybrid Artificial Intelligence takes historical transactional data and learns from past decisions using both supervised and unsupervised learning algorithms and combines it with knowledge-based methods such as mixed logic rule sets, fuzzy logic scorecards, and dynamic profiling. Financial institutions and professionals can benefit from this powerful combination that detects new modus operandi in a digital environment.

The webinar will showcase the RiskShield Machine Learning solution, a world-class risk assessment, fraud prevention, and Anti-Money Laundering (AML) compliance monitoring solution built on top of the BigML platform to protect your organization against financial crime.

What

When

  • 1-hour event: Wed, Oct 28, 2020 8:00 AM – 9:00 AM PDT

Registration

  • Please follow this link and reserve your spot. We will do our best to accommodate as many participants as possible, however, we recommend that you register soon.

Schedule

  • Speaker details can be accessed here as well as the full agenda.

We look forward to your participation!

 

Leave a Comment

Leave a Reply

Fill in your details below or click an icon to log in:

WordPress.com Logo

You are commenting using your WordPress.com account. Log Out /  Change )

Google photo

You are commenting using your Google account. Log Out /  Change )

Twitter picture

You are commenting using your Twitter account. Log Out /  Change )

Facebook photo

You are commenting using your Facebook account. Log Out /  Change )

Connecting to %s

%d bloggers like this: