2nd Edition Development, Implementation and Management of AI and ML Models

Quick Summary

The AI and ML Model Management conference by Marcus Evans addresses how financial institutions can safely deploy advanced technologies like Gen AI and Agentic AI. Taking place in Amsterdam from September 28-30, 2026, it focuses on EU AI Act compliance, model explainability, and ethical data governance for banking leaders.

How Can Banks Ensure AI and ML Model Management Compliance?

As financial institutions transition from experimental to production-grade AI and ML Model Management, the regulatory pressure from the EU AI Act has become a primary concern. This conference provides a roadmap for aligning model development with strict transparency and explainability standards. Experts from Barclays and ABN Amro will share methodologies for embedding AI oversight into existing risk frameworks to mitigate non-deterministic outputs.

• Continuous monitoring strategies to detect model drift in real-time.

• Bias mitigation techniques to ensure ethical lending and credit decisions.

• LLM interpretability frameworks for high-stakes financial applications.

What Are the Risks of Deploying Agentic AI in Finance?

The shift toward autonomous modelling workflows introduces unique challenges, specifically regarding Agentic AI systems and their dynamic learning capabilities. Financial professionals must establish robust data governance to manage the increased risk profiles associated with these self-evolving models. The event highlights how to leverage generative AI effectively while maintaining operational integrity and reducing the risk of hallucinations in critical reporting.

• Risk management protocols for non-deterministic AI outputs.

• Data governance frameworks that support global regulatory alignment.

• Case studies from ING on model development chapter leadership.

How Does This Event Drive Business Value Through AI?

Beyond compliance, the core objective of AI and ML Model Management is to drive tangible business value without compromising ethics. By attending, leaders from Nordea and BNP Paribas will demonstrate how to strengthen AI development to meet evolving customer expectations. The sessions focus on practical implementation strategies that allow banks to maintain a competitive edge through faster, more accurate decision-making powered by Agentic AI and LLMs.

FF NEWS TAKE:

The 2nd Edition AI and ML Model Management conference moves the needle by moving past the hype of Gen AI into the gritty reality of governance and compliance. For an industry as regulated as finance, the EU AI Act is a looming hurdle; Marcus Evans is providing the essential forum for Tier-1 banks to standardize their response. This isn't just a tech talk; it's a strategic necessity for any institution serious about autonomous finance.