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Summary
In today's fast-paced financial world, textual data has become a crucial component for investors. Join us for an insightful webinar tailored for professionals in the Middle East and Africa to gain a comprehensive overview of textual data and tools to integrate it into your investment workflow.
You'll be introduced to ProntoNLP, a cutting-edge natural language processing (NLP) tool, that structures unstructured data to generate actionable insights that add alpha to your investment strategies. We'll show how ProntoNLP unlocks insights from Earnings Calls with Transcripts Analytics Signals application and performance.
The webinar will also cover the expansion of analytics to Filings and diverse document types, showing how these tools can help you uncover hidden insights, gauge market sentiment, and stay informed.
Register now to transform your investment strategies with the power of textual data and advanced analytics.
- Understanding the importance of textual data to investors
- Introducing ProntoNLP: Revolutionizing Textual Analytics
- Unlocking insights with Transcripts Analytics Signals application and performance
- Expanding analytics to Filings and diverse document types
- Insights from the "Tariff Tools in Action" paper and its relevance to regional markets.
Moderator
S&P Global Market Intelligence
Jaymal Vadher
S&P Global Market Intelligence
Senior Director - Regional Head, Middle East & South Asia
Jaymal joined S&P Global in July 2007. He is an Executive Director, based in Dubai, covering the Middle East, Africa and South Asia, responsible for Business Development across the Data & Research business.
Speakers
S&P Global Market Intelligence
Aditya Sharma, CFA
Director, Product Management
Aditya is a quantitative product specialist who joined S&P Global in April 2021. Previously, he has held Data Science and Strategy roles with global remit at Western Union Business Solutions in London and Social Market Analytics, Inc in Chicago. Aditya has worked closely on projects involving machine learning and natural language processing application in Finance. Aditya holds a Master of Science Degree in Finance from Illinois Institute of Technology, United States and Bachelor of Technology Degree in Electronics and Communication Engineering from National Institute of Technology, India.
S&P Global Market Intelligence
Elad Spiegelman
Director, Business Development
Elad is a Director of Business Development in S&P Marker Intelligence. Elad is in charge of managing the Pronto products, mainly dealing with structuring unstructured data. Prior to that, Elad was Co-Founder and CPO at Pronto, which was acquired by S&P Global in 2024, and Co-Founder at Darrow AI, a legal tech company.
Elad has a vast experience in fusing complex knowledge domains with AI, coming from on-the-ground business experience.
Elad hold an LLB (first in class) and an MBA from Hebrew University.
S&P Global Market Intelligence
Liam Hynes
S&P Global Market Intelligence
Head of New Product Development – Public Markets
Liam Hynes serves as the Global 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, blueprint solutions such as QTA & Ripple Effect and product launches with CCDE.
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 is currently pursuing a PhD in AI & Finance from Kemmy Business School, where his research covers natural language processing, network theory, and AI-driven executive sentiment & behavioural analysis. He has also earned a BSc (Hons) in Mathematics from the University of Limerick and holds a Machine Learning certification from Stanford University.
Questions?
Please contact us if you need more information or have trouble accessing the webinar.