How BlackRock Builds Custom Knowledge Apps at Scale

Learn how BlackRock developed a modular, Kubernetes-native AI framework to rapidly deploy custom knowledge applications across their investment operations in this 19-minute conference talk. Discover the challenges investment management firms face when scaling AI applications for document extraction and data processing, and explore BlackRock's solution that enables teams to launch production-grade applications in minutes rather than months. Examine the framework's architecture designed for speed, flexibility, and regulatory compliance, and see a live demonstration of their sandbox environment. Understand how this approach has streamlined document extraction processes, generated investment signals, reduced operational overhead, and accelerated business use case delivery while maintaining the robustness required in regulated financial environments. The presentation covers AI application classification, specific use cases like New Issue Operations, scaling challenges, architectural decisions, and key implementation insights from BlackRock's Principal Engineer and Senior Director of Engineering who lead their Data Science, AI platform, and Studio Compute Platform initiatives.