With 73% of millennials and 66% of Gen Z living paycheck to paycheck, it's crucial for credit unions to adapt and play a role in improving their financial health. However, currently, only a small fraction of the younger generation, 5% of millennials and 4% of Gen Z individuals are credit union members.

Advancements in AI present a game-changing opportunity for credit unions using MeridianLink. By automating loan application assessments, AI technology liberates underwriters' time, allowing them to establish personalized relationships with members who have unique stories.

Using AI, MedianLink users can gain a deeper understanding of members and adopt fair, transparent, and regulatory-compliant AI-powered underwriting. This approach enables the provision of a hyper-personalized digital lending experience that fosters trust.

Discover the transformative power of AI in credit unions, specifically catering to the financial needs of Gen Z and millennials.

In our webinar, we had delve into:

• How AI revolutionizes credit unions' ability to serve Gen Z and millennials.

• The automation of loan decisions through AI

• Real-world examples showcasing how MeridianLink users increased approvals and automation

• How AI works for credit unions of all sizes

In today's fast-paced digital lending landscape, traditional fraud detection methods are no longer sufficient. Identity theft remains a significant cause of losses for credit unions, and synthetic ID Fraud is a growing concern, with recent studies revealing 1.8 million consumer credit accounts potentially linked to fraudulent synthetic identities within a year. Alarmingly, over 30% of these accounts were at risk of major delinquency or charge-offs, resulting in average losses of $8,000 - $10,000 per incident. Credit unions need comprehensive solutions to effectively detect and prevent fraudulent applications during origination while ensuring genuine members' experiences are unaffected.

Join Scienaptic and SentiLink for an insightful webinar on how deep understanding of these tactics coupled with technology can be a game changer in credit origination fraud prevention. Together, let's combat synthetic ID fraud and identity theft, and create a safer and more secure credit origination environment.

Our discussion will include: 

• Evolving fraud landscape: Understand the changing fraud techniques and regulatory challenges in credit origination. 

• Human insights powered by machine learning in fraud prevention: Discover how this union can accurately detect and prevent fraud, leveraging vast data analysis and complex pattern recognition.

• Streamlined operations with AI: AI-powered solutions automate manual processes, reduce false positives, and provide a frictionless credit origination experience.

• Real-world success stories: Gain insights from credit unions that have achieved reduced fraud losses, improved detection rates, and enhanced compliance through AI implementation.

• Best practices for AI fraud tool adoption: Understand key considerations for implementing AI-driven fraud prevention systems, including member experience, and false-positive considerations.

• Q&A engagement: Get specific answers to your questions about credit origination fraud prevention and AI adoption.

Many financial institutions are turning to AI for recession-resistant, fair, and inclusive lending strategies to support their customers. Financial institutions that have implemented AI-enabled platforms have seen 70-90% increases in automated decisioning with gains of 30-50% in automated approvals. In addition, overall approval rates improved by 15-40% while decreasing loss rates by 10-25%.

Our discussion will include:

• The benefits of leveraging AI for financial institutions and their customers

• Strategies for financial institutions and lenders to build recession-resistant portfolios powered by AI

• How to use AI to increase credit access for underbanked and marginalized customers

• Examples of successful implementation of AI in lending

• Methodologies to manage the Internal and external challenges in bringing AI into a lender’s risk organization

This webinar is designed for senior risk leaders and lending professionals who want to learn how to use AI to mitigate recession risks. 

In an effort to support their members, many credit unions have turned to AI for recession-resistant, fair, and inclusive lending strategies. In this webinar, we will dive deep into the specific ways that fair and inclusive AI can be used to assist deserving members and improve credit access safely.

The webinar is designed for credit unions and lending professionals who want to learn about using AI to mitigate recession risks and improve credit access for underserved members. It will showcase examples of lenders who have successfully implemented fair and inclusive AI-powered lending and its positive impact on their members and loan portfolios.

Our discussion will include the following:

• Benefits of fair and inclusive AI in increasing access to credit for underbanked and marginalized members

• Strategies for credit unions and lenders to use fair and inclusive AI to mitigate risks

• Examples of successful implementation of fair and inclusive AI in lending

• How fair and inclusive AI can help credit unions and lenders weather a recession