Another Avenue for Digital Twins: Behavioral Modeling for Banks
Financial services organizations are using digital twins and machine learning algorithms to identify behavioral characteristics including individual …
Topic: Financial Services
How banks, credit unions, and other financial services gain business value from the use of real-time analytics on transactions and products.
The Key to Accelerated AI Adoption in Financial Services: MLOps
By integrating MLOps practices, financial institutions can overcome hurdles related to model scalability, reliability, transparency, fairness, and compliance …
Financials Ramp Up Services with Hybrid Real-Time Apps
Financial services companies are increasingly embedding insurance offerings into new digital customer solutions and real-time apps.
Data Privacy in the Era of Digital Payments: Who Owns Your Financial Information?
One thing that can be done to address data privacy challenges in digital payments is for all parties involved to prioritize
How AI Helps Businesses Fight Fraud
To stay a step ahead of the bad guys, businesses are leveraging artificial intelligence (AI)-powered automation to identify patterns of suspicious activity and …
Breaking Free from Invoicing Fraud with Blockchain
Blockchain is already transforming the way businesses operate, particularly when it comes to
How Can Digital Audit and Risk Monitoring Tools Improve Financial Services?
As more financial services face business risk pressures, there will be an increased need for putting the right digital tools in place to ensure that data is …
Stream Processing in Financial Services
Stream processing is transforming how the most ambitious financial services companies serve customers and how they operate in complex, always-changing …
Next-Gen Online Fraud Detection: The Journey is the Destination
Thwarting online fraud requires a more holistic approach to fraud prevention, one that captures the full context of a transaction based on the user's digital …
How AI/ML Can Help Banks Bridge the Human-Digital Divide
When applied correctly, AI/ML and other technologies can take banking back to its roots to solve challenges and help identify new business
