-
Summary
Enhancing company data, even when structured and cleaned, proves challenging without mapping it to industry-standard identifiers like S&P Global’s CapIQ IDs or various BECRS IDs. But entity mapping is a complex process for data engineering and analyst teams across industries.
Creating accurate mappings from company entities in one database to identifiers in an external one presents deep technical challenges due to the limited amount of contextual information and frequent name similarities, including among entities within the same corporate hierarchy. While fuzzy matching and rules-based mapping are common solutions, their reliance on semantic similarities limits their effectiveness.
Introducing AI-powered entity linking—a revolutionary approach that considers not only the submitted entity but also its associated data and the content of the target database. This innovative technology offers a more effective and powerful mapping capability.
Join us in this session as we explore AI entity mapping, including the Kensho Link solution, and its seamless integration with other S&P Global datasets. Discover how it addresses user initiatives such as:
- CRM clean-up
- Platform integrations
- Security master file enhancement
Speaker
Lance Risi
Lead, Product Management & Development
Lance has been with S&P Global for 25 years, primarily working on the industry leading Cross Reference mapping solution for clients around the globe.
Lance has been with S&P Global for 25 years, primarily working on the industry leading Cross Reference mapping solution for clients around the globe. Lance is from NYC, graduated from University or Vermont, lived in Colorado for 17 years, and now lives in Arizona. Lance is an avid runner and cyclist and has run 14 marathons.
Jonathan Leibowitz
Associate Manager, Business Development
Jonathan Leibowitz is the Commercial Lead for Kensho's Financial Data Management & Linking Solutions.
Jonathan Leibowitz is the Commercial Lead for Kensho's Financial Data Management & Linking Solutions. His go-to-market focus areas are Kensho Link and associated data integrations with S&P Global Market Intelligence, such as the business entity cross reference solutions (BECRS). He works with buy and sell side financial institution and corporate clients to help them derive insights from messy and unstructured data. Jonathan has an MBA from Syracuse University and is now based in New York City.
David Bender
Product Manager, Kensho Link
David is a product manager at Kensho Technologies (an S&P Global company) where he leads Kensho Link, an AI-powered entity linking tool.
David is a product manager at Kensho Technologies (an S&P Global company) where he leads Kensho Link, an AI-powered entity linking tool. Other roles David has held at Kensho include overseeing the Market-on-Close energy pricing project with S&P Global Commodity Insights, business development, and as a quantitative geopolitical analyst. Prior to joining Kensho, David covered geopolitical and security risk at Chevron and the political risk consultancy Eurasia Group. David has an MA from New York University, a BA from Carleton College (MN), and is the recipient of multiple research fellowship, including a Fulbright (Syria). David is based in Washington, DC.
Moderator
Kensho
Taylor Richardson
S&P Global
Business Development Manager
Taylor Richardson leads Business Development at Kensho, where she serves as the critical bridge between Kensho and S&P Global’s customers to identify and translate AI needs into impactful solutions. With a deep understanding of customer workflows and priorities, Taylor has played a key role in shaping Kensho’s LLM-ready API, helping to bring it to market with features driven by real-world use cases. Her work is focused on delivering cutting-edge AI capabilities that are both practical and scalable across customer ecosystems.
Event Support