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Summary
In today's rapidly evolving financial landscape, accessing trusted, relevant, and accurate data is critical for organizations leveraging Generative AI (GenAI). Join us for this insightful webinar hosted by Kensho, S&P Global’s AI innovation hub, to explore how we’re enhancing data reliability and unlocking the potential of agentic AI workflows.
Discover how Kensho’s advanced solutions—including the Kensho LLM-ready API, Kensho Grounding Agent, and Kensho Text-to-SQL Agent—enable you to:
- Use natural language queries to seamlessly access tabular and textual data.
- Ground your AI models in trusted data sources, eliminating hallucinations and ensuring accurate outputs with verifiable citations.
- Build flexible, scalable tools that integrate effortlessly into your evolving GenAI systems, significantly enhancing decision-making and efficiency.
Agenda
- Welcome & Introductions
- Navigating the AI Landscape
- Understanding key user personas and real-world challenges
- Industry trends: From foundational models to multi-agent systems
- Addressing data accuracy and AI hallucinations
- Building Trusted AI Solutions with Kensho
- Leveraging trusted S&P Global data
- Demonstration: Kensho LLM-ready API capabilities
- Roadmap: Introducing Grounding Agents and next-generation multi-agent frameworks
Moderator
S&P Global Market Intelligence
Andrew Innes
Head of Data & Research Sales, Pacific
Andrew has been with S&P Global for over 10 years and brings a wealth of experience across financial markets across all asset classes. Andrew leads the commercial business for Data and Research for S&P Global Market Intelligence Australia which is a business unit that sits across a very broader universe of buy-side, sell-side and corporate users. Andrew holds a BBA from Macquarie University and MBA from MGSM.
Speaker
S&P Global Market Intelligence
Kensho
Taylor Richardson
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.
Questions?
Please contact us if you need more information or have trouble accessing the webinar.