Role Models: Ensuring AI Compliance & Optimizing Performance with Observability
Demo session
AI Application
AI REGULATION
AI Technology
MODEL DRIFT
MODEL MONITORING
MODEL PERFORMANCE MANAGEMENT
MODELOPS
2024-02-08 | 01:00 PM - 01:30 PM | Demo Stage 1
Information
In the rapidly evolving landscape of AI applications, the need for robust compliance and optimal performance is paramount. This demo session explores the intersection of AI regulation, technology, and practical implementation strategies. We delve into cutting-edge approaches for addressing challenges such as model drift, monitoring, and performance management through the lens of MLOps.
The session will feature a hands-on demo showcasing solutions and methodologies to ensure AI models align with regulatory requirements while optimizing their performance. By integrating observability into the AI development lifecycle, we empower organizations to proactively manage and mitigate risks associated with data & concept drift. Additionally, the talk will cover the critical aspects of model observability and alert notifications, offering insights into how these components can be seamlessly integrated into the Radicalbit Platform.
