Rethinking Constituent Weighting with AI-Optimized Indexing

According to Mercer’s 2026 AI in Asset Management Survey, the most commonly cited measurable benefits of using AI models are enhanced operational efficiency, highlighted by 69% of respondents, and faster, higher-quality insights and decision-making, cited by 55%. Following these trends leads us to a growing number of firms that are applying AI to traditionally data-driven areas of finance. Among them is BrandLoyalties, a data and ratings provider using AI models to construct indices designed to capture the strength and importance of their sentiment data, while also seeking to enhance their potential to generate alpha. Today, we’re joined by Rick Davis from BrandLoyalties, who have launched the BrandPower AI Enhanced Index. The index uses an advanced AI and machine-learning model to optimize the weighting of its constituents during its quarterly reallocation and rebalancing process. 🗓️ Thursday, October 1st, 2026 ⏰ 11:00 EDT | 16:00 BST 👥 Speaker: Rick Davis | Chairman & CEO, BrandLoyalties ➡️ Register now to secure your spot in the upcoming webinar: https://streamyard.com/watch/T4Psdt4M... See you there!