Jay Krish

The future calls for flexibility in design and architecture of our data systems. As organizations continue to grow the ways they can leverage their data, developing an architecture that is scalable, agile, and easily maintained will be key to ensuring business value can be easily provided by data teams. This fireside chat will look at the concept of data modulization and will highlight: 

• The benefits of data modulization in financial data management.  
• Hurdles and opportunities that those interested in data modulization should be aware of. 
• Examples and use cases of data modulization across various industries.  

As regulatory pressure to combat fraud and money laundering increases on banks, the importance of ensuring AML compliance will continue to be a top concern for business and data leaders. Similarly, customers will continue their high expectations of having their financial institutions protect their PII and accounts. With millions of transactions to keep track of, tools like AI will help AML and fraud teams keep on top of this increasingly demanding task. Join us as we dive into how AI is helping financial institutions protect their customers against fraudulent transactions and money laundering attempts.