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05/27/25 | 33 MIN

AI and the Future of Finance: Decoding Earnings Calls with Liam Hynes, Global Head of New Product Development at S&P Global Market Intelligence

Episode Overview

In this episode, Dana Gardner, Principal Analyst at Interarbor Solutions is joined by Liam Hynes, Global Head of New Product Development at S&P Global Market Intelligence. They discuss how S&P Global Market Intelligence utilizes AI to analyze corporate earnings calls to guide and improve financial reporting. These insights help businesses enhance communication, refine executive performance, and predict market outcomes. The conversation also highlights the use of Snowflake Cortex AI platform and the importance of data-driven decision-making in the financial sector.

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GUESTS

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Liam HynesGlobal Head of New Product Development, S&P Global Market Intelligence

Liam Hynes serves as the Head of New Product Development. In this role, he leads strategic product innovation, driving the development of cutting-edge research & solutions across the firm’s extensive data and analytics platforms. His work spans the entire solution life cycle from proof-of-concept development, business assessment, beta client engagement, blueprint creation, product development, go-to-market strategies and commercialisation. Under Liam’s leadership, the team has delivered impactful research such as Questioning the Answers, coding blueprint solutions such as QTA & Ripple Effect and product launches with Company Connections Detailed Estimates and Business Relationship Analytics.

Before assuming his current role, Liam served as Head of ESG & Quant Specialists, EMEA, advising S&P clients on quantitative modelling, climate risk assessments, and alternative data integration. Prior to S&P Global, he was Founding Partner & Portfolio Manager at Monreith Capital LLP, managing a Global Financials Hedge Fund. He also held senior investment roles at Liontrust Asset Management and Occam Assest Management, focusing on emerging markets and commodities.

Liam holds a BSc (Hons) in Mathematics from the University of Limerick and holds a Machine Learning certification from Stanford University.

Dana Gardner
Dana GardnerPrincipal Analyst at Interarbor Solutions

Dana Gardner is president and principal analyst at Interarbor Solutions, an enterprise IT analysis, market research, and consulting firm. Gardner, a leading identifier of software and cloud productivity trends and new IT business growth opportunities, honed his skills and refined his insights as an industry analyst, pundit, and news editor covering the emerging software development and enterprise infrastructure arenas for the last 18 years.Gardner tracks and analyzes a critical set of enterprise software technologies and business development issues: Cloud computing, SOA, business process management, business intelligence, next-generation data centers, and application lifecycle optimization. His specific interests include Enterprise 2.0 and social media, cloud standards and security, as well as integrated marketing technologies and techniques.Gardner is a former senior analyst at Yankee Group and Aberdeen Group, and a former editor-at-large and founding online news editor at InfoWorld. He is a former news editor at IDG News Service, Digital News & Review, and Design News.

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