The GFMI 3rd Annual Development, Implementation and Management of ML Models conference taking place on April 23-25, 2025 in New York, will focus on harnessing AI and ML technologies to drive operational efficiency, enhance business performance, and navigate regulatory complexities in financial services. Key sessions will explore practical applications of AI/ML automation to streamline financial operations, reduce costs, and identify highest ROI use cases addressing some of the industry’s key challenges associated with machine learning. In addition, industry experts will share actionable strategies to optimize AI-driven solutions, safeguard data integrity throughout the model lifecycle and innovate responsibly whilst adhering to compliance requirements.
Attending This Premier marcus evans Conference Will Enable You to:
- Transform Operational Efficiency through AI and ML Automation to enhance performance
- Identify the best use cases for ML models to generate maximum ROI
- Streamline business operations using LLMs; Prioritization Vs Automation
- Manage risk whilst encouraging ML innovation in an uncertain regulatory landscape
- Assess the importance and impact of data integrity throughout the model lifecycle to optimize performance
- Navigate the Risks of Errors in LLMs to leverage them more competently
Best Practices and Case Studies from:
- Otakar Gregory Hubschmann, Chief Artificial Intelligence Officer, TransRe
- Sam Henkel, Executive Director, Model Development, UBS
- Bola Ajayi, Head of Machine Learning and Data Science, Vanguard
- Ila Gupta, Head of Model Development and Data Science, Umpqua Bank
- Sanjay Gupta, Head of Model Development, PNC
- Carlos Rodriguez, Senior Director - Model Validation, AI & ML, Ally
For more information please contact Ria Kiayia, Digital Media and PR Marketing Manager at riak@marcusevanscy.com or visit: https://bit.ly/3ES97jp
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