Navigating the New Era of AI Regulation: What Organizations Need to Know About the EU AI Act
The EU AI Act marks a significant step towards regulating artificial intelligence, setting a global standard for AI…
Understanding the intricacies of nth party relationships is paramount for effective risk management. Optimizing risk classification in nth party relationships entails a multifaceted approach geared towards enhancing visibility, comprehending dependencies, and implementing proactive risk management strategies.
Join LogicGate's Sean McGovern and a panel of experts to learn the concept of nth party relationships, the inherent risks involved, and strategies for optimizing risk classification in these relationships, including insights on:
- Advanced machine learning methodologies and how they can enhance risk scoring and classification systems
- Strategies to integrate risk scoring and classification systems with diverse data sources
- The benefits of implementing ongoing monitoring processes and increasing automation in forensic analytics processes
- How social media and text analytics can help augment risk scoring and classification systems
