Resources

While the transition towards self-service banking was already in motion, COVID-19 accelerated it beyond anyone’s imagination.

Discover the innovative opportunities for using real-time machine learning to outsmart risk and fight fraud.

The unique challenges and opportunities for Challenger Banks to comply with fraud and Anti-Money Laundering obligations.

Anti-Money Laundering compliance teams are adopting machine learning techniques for real-time transaction monitoring.

Real-Time Payments is a great innovation and preventing an increase in fraud should be part of the dialog.

Through the pandemic and beyond: overcoming data management challenges

Read this whitepaper to learn how CIOs, technology and business leaders at financial services companies can leverage cloud technologies to enable digital and business agility.

Driving GTM success: Aligning product and sales to accelerate treasury mgmt. revenues

Before the COVID-19 pandemic, discussions about a customer’s digital preferences would typically fall on generational lines – focusing on millennials and their preference for mobile channels, or baby boomers’ affinity for personal service. However, during the first few months of the pandemic, most Americans were under lockdown, relying on digital technology to purchase the basic necessities they needed to survive.

Financial Services and Insurance organizations are increasingly adopting cloud in order to gain advantage from speed to market, better customer experience and data-driven product development. Yet, balancing risk and security with business agility can be challenging.