?$responsive$)
-
Summary
In the next decade, AI’s advance will only accelerate, powered by new, emerging technologies such as Natural Language Processing, which promises to revolutionize investors’ use of data, unlocking new actionable insights that enable them to gain a sharper, competitive edge.
Join our speakers as they take a deep dive into the transformative power of NLP/ Topographical Data Analysis, specifically examining:
- What this technology is
- Why use alternative data sets?
- Alternative datasets use case scenarios in investment banking, private equity and investment management.
Who should attend?
This webinar is targeted at investment banking, investment management and private equity professionals. Participation is free but subject to prior registration.
Why participate?
- Understand the power of NLP for your firm
- Find out about data sets that go beyond traditional financial data
- Understand the process of data collection, delivery and access
- See how you can use this data in your workflows
- Gain an insight into S&P CIQ Pro’s Sentiment Scores using natural language processing
Moderator
Duncan Kerr
Managing Editor
Duncan is a managing editor within Euromoney Group, overseeing special projects across research and content.
Speakers
Gabriel Andraos
Co-Head of Voya Machine Intelligence (VMI)
Gabriel jointly leads Voya Machine Intelligence team. As the Co-Head of VMI, he focuses on research and development into the application of AI and Machine Learning models for fundamental investing. For more than ten years, the VMI team has been using machine intelligence to run virtual employees – analysts, traders, and portfolio managers with transparent, explainable computer models anchored in fundamentals. Gabriel has approximately 26 years of investment experience.
Michael Hoffman
Head of Business Development
Michael leads Kensho’s client-facing commercial relationships and development partnerships where he is focused on identifying fine-tuned use cases of Kensho foundational Artificial Intelligence (AI) toolkit for buy and sell-side financial institutions and professional services firms. His GTM focus areas include automatic speech recognition (ASR); document and key value pair extraction; natural language processing (NLP) capabilities such as named entity recognition (NER), named entity disambiguation (NLP), and topic classification; and entity linking.
S&P Global Market Intelligence
Chirag Patel
Market Development– Investment Management
Chirag works within the EMEA Desktop Business Development team at S&P Global Market Intelligence.
Pietro Casella
Managing Director
Pietro led the modernisation of financial systems, data stack, and process automation at EQT Partners. Prior to that, he led Financial Systems development teams at Spotify. He also worked in consulting at KPMG and Accenture where he led large scale BPM, ERP, and Performance Management projects mostly in the Financial and Health sectors.
Event Support