The Rise of Agentic AI:
Why Context Rich Data is the New Competitive Advantage

The Rise of Agentic AI: Why Context Rich Data is the New Competitive Advantage
Agentic AI is rapidly emerging as the next evolution of enterprise AI, enabling systems to reason, make decisions, and take actions with increasing autonomy. However, the success of AI agents depends on far more than powerful models. They require trusted, well governed, and context rich data to operate effectively, safely, and in line with regulatory expectations.
Join experts from Informatica and Agile as they explore why leading Financial Services organisations are investing in modern data foundations to unlock the full potential of AI agents, accelerate AI adoption, and deliver measurable business outcomes.

Event details: Friday 3rd July, 1pm

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Key Takeaways
• Understand why AI agents require business context, not just access to data.
• Learn how data quality, governance, metadata, lineage, and master data management underpin trusted AI outcomes.
• Discover why organisations with mature data foundations are significantly more likely to achieve successful AI deployments.
• Explore the risks of deploying AI agents without trusted and explainable data, particularly within highly regulated Financial Services environments.
• Leave with a roadmap for building an AI ready data foundation that supports long term business value.
Who Should Attend
This webinar is designed for senior leaders responsible for data, technology, governance, and AI strategy within Financial Services organisations, including Chief Data Officers, Chief Technology Officers, Heads of Data Management, Heads of Data Governance, Data Strategy Leaders.
As AI agents become increasingly embedded within Financial Services operations, the organisations that succeed will not be those with the most AI models, but those with the most trusted, contextualised, and governed data. Join Informatica and Agile to discover how a strong data foundation is becoming the essential competitive advantage for the age of Agentic AI.

 

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