Take advantage of hyper-personalization with AI and application modernization

• What is the impact of hyper-personalization in banking and what use cases will improve the overall customer experience?
  
  
• While modernizing the front office will increase revenue, modernizing the back office will reduce costs. How can companies use AI to enable these two drivers?
  
  
• Banks need to consider an end-to-end architecture when modernizing. So how can companies approach application transformation in the most effective way?

The AI ​​revolution in financial services is just around the corner. Traditional AI and generative AI offer a wealth of use cases for financial institutions – from improved fraud prevention to optimized operations – but one of the biggest opportunities lies in the impact of these technologies on the customer experience.
At a time when customer expectations are higher than ever, AI technologies enable banks to provide customers with tailored, hyper-personalized experiences, improving customer satisfaction, extending the customer lifecycle and increasing overall revenue.

But without the back office, it’s not possible to reap the front office benefits of hyperpersonalization. How can financial institutions reduce their reliance on legacy systems to take advantage of AI opportunities? Application modernization is necessary to become agile enough to customize the customer experience and respond to an increasingly flexible market. So how can banks modernize effectively without disrupting operations?

Register for this Finextra webinar, hosted in collaboration with MongoDB and Microsoft, to join our panel of industry experts discussing how financial institutions can achieve hyper-personalized service offerings by leveraging AI and intelligent application modernization strategies.