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Webinars 

On-Demand | Host: Tim Davis, John Mearls, Alex Faivusovich, Rivka Gewirtz Little
Webinar

Challenger Banks Weigh In: Fraud, Growth, and Innovation in Turbulent Times

These are turbulent times, to say the least. As the nation copes with a pandemic, the financial fallout is already significant. 
 
Fintechs will need to continuously innovate to serve consumers with rich remote features and flexible, affordable services. Yet they could also find themselves managing an uptick in fraud attacks similar to trends that have occurred in previous times of financial crisis.
 
In this webinar, hear from leading challenger bank executives who share insights on: 
  • Fintech business models built for uncertain times
  • Preparing identity verification and fraud prevention strategy as agencies disburse stimulus and disaster recovery funds
  • Educating consumers and preparing internally for COVID-19 scams
  • Aligning fraud, growth, and innovation strategies 
 
On-Demand | Host: Annie C.Bai, Rivka Gewirtz Little, Gene Radin
CCPA Webinar with Socure

Will the California Privacy Laws Expose You to More Fraud? AI-Based Identity Verification as a Solution

In this webinar, Socure Privacy & Compliance Officer Annie Bai, Socure Product Director Gene Radin, and Socure VP of Marketing Rivka Little explore the demand CCPA places on identity verification and how leveraging advanced analytics and data science methods along with digital document verification can enable a safe road to CCPA compliance. 

In this webinar we’ll discuss:

  • What is the process of CCPA’s verified customer requests (VCR) – or is there one?
  • What are the consumer and business risks in complying with CCPA’s verified customer requests?
  • How AI-based digital identity verification enables safe CCPA compliance
  • Aligning fraud, growth, and innovation strategies
On-Demand  | Host: Pablo Abreu
060518 PICZ - HEADSHOTS--5 Pablo-1

Webinar: Feature Engineering – The Magic Behind Great Machine Learning Outcomes

Feature Engineering is what separates good machine learning outcomes from great machine learning outcomes.  Part art and part science, feature engineering combines domain expertise with data science acumen to transform raw data into the variables that drive machine learning models.

In this second webinar in our six-part series, Socure’s VP Data Science, Pablo Abreu, discusses the methods used in feature engineering to go from raw data (discussed here Data Exploration - Improving the Foundation) to highly predictive features. More specifically, Pablo will share the approach Socure takes to build proprietary predictors to boost machine learning model performance.

In this webinar, Pablo will share:

  • General concepts and approaches to feature engineering
  • Typical challenges encountered with feature engineering
  • Several best practice approaches to consider to maximize success
  • Considerations for manual vs. automated approaches to feature engineering
On-Demand  | Host: Pablo Abreu
data exploration -1

Webinar: Data Exploration - Improving the Foundation

In this first of six webinars, Pablo starts at the beginning and discusses different methods for data exploration. As the goal of data science is to extract knowledge and insights from data, it makes sense that we start with data and explain the process used for the initial analysis of data.

In this on-demand webinar, Pablo shares:

  • General concepts and approaches to data exploration
  • Typical challenges encountered with data exploration
  • Several best practice approaches to consider to maximize success