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Four become One: Impact of Agentic AI at ASN Bank
Steven Laan
Lead Data Scientist
As ASN Bank is merging four brands, we leveraged Agentic AI to streamline the process. This presentation will explore two key areas:
Data Lineage: The SQL-based agent efficiently traced and consolidated data lineage across legacy systems, accelerating the integration and providing valuable insights.
Policy Agent: The Policy Agent analyzed and compared varied policies, significantly simplifying the complex task of creating a unified policy framework.
The architecture behind these agents will be discussed, showcasing different design patterns.
Don't miss this opportunity to learn about ASN Bank's practical approach to using Agentic AI to support its digital transformation initiatives!
As ASN Bank is merging four brands, we leveraged Agentic AI to streamline the process. This presentation will explore two key areas:
Data Lineage: The SQL-based agent efficiently traced and consolidated data lineage across legacy systems, accelerating the integration and providing valuable insights.
Policy Agent: The Policy Agent analyzed and compared varied policies, significantly simplifying the complex task of creating a unified policy framework.
The architecture behind these agents will be discussed, showcasing different design patterns.
Don't miss this opportunity to learn about ASN Bank's practical approach to using Agentic AI to support its digital transformation initiatives!
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