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Summary
Large Language Models (LLMs) open new doors for extracting features from textual data. Join us for an enlightening webinar, that will gradually build an understanding of how LLMs can process textual data to harvest alpha. At this webinar, we'll delve into the core strategies for harnessing textual data effectively, featuring insights from industry leaders and real-world use cases.
Don't miss this opportunity to gain valuable insights, engage with experts, and propel your AI initiatives forward.
This webinar will cover:
An Intro to Systematic Alpha with LLMs
- Safely Integrating Data: How to safely introduce S&P data into your models
- LLM Efficiency Gains: Merging traditional NLP techniques with LLMs to enhance efficiency.
- LLM Feature Generation: Transforming textual data into numerical features.
- Prompt Engineering: Strategies for refining prompts to elicit desired outputs.
AI-Ready Data from Kensho
- Introduction to AI-ready data and its importance in LLMs
- Discussion on preparing unstructured data for LLMs, including extraction, vectorization and embeddings.
- Overview of Kensho's roadmap for advancing AI technologies and methodologies
Moderator
S&P Global Market Intelligence
Justine Iverson
S&P Global Market Intelligence
Head of Corporates & AI
Justine Iverson is Head of the S&P Global Marketplace at S&P Global Market Intelligence. She leads the product strategy, inclusive of vision and roadmap, for the S&P Global Marketplace. Additionally, she is responsible expanding footprint with key partners such as Snowflake & Databricks. Ms. Iverson leads the team responsible for go to market efforts across the S&P Global Marketplace, Analytical Platforms and Channels. Prior to joining the product team, Ms. Iverson worked in various marketing roles within the data and financial services space at S&P Global, 361 Capital, a division of Hamilton Lane, and IHS Markit. Ms. Iverson holds an MBA from the University of Denver and BA in Journalism from the University of Montana.
Speakers
S&P Global Market Intelligence
Daniel Sandberg
S&P Global Market Intelligence
Managing Director, Head of Quantamental Research
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.
S&P Global Market Intelligence
Tarig Khairalla
Kensho Technologies
Group Product Manager
Tarig Khairalla is a Senior Product Manager at Kensho where he leads the development of document extraction and AI-ready data solutions.
Tarig Khairalla is a Senior Product Manager at Kensho where he leads the development of document extraction and AI-ready data solutions. He has a passion for driving innovative AI solutions from concept to market and is adept at leading cross-functional teams to deliver tangible value to both customers and business partners.
Prior to joining Kensho, Tarig worked as a Product Manager for Platforms and Ecosystems at Verizon. He also previously worked at EY within an AI/Blockchain innovation lab.
He holds a Bachelor’s degree in Management and Accounting, with a minor in Economics from Northeastern University.
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