Agenda

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  • 3:00 pm

    Registration, Networking and Welcome

    Warren Breakstone, Chief Product Officer, Data Management Solutions, S&P Global Market Intelligence

  • 3:45 pm

    Leveraging Machine Learning to Get the Most Out of Your Data

    Peter Licursi, Product Manager, Kensho Technologies

    • In this presentation, you’ll hear from Kensho, the S&P Global company powering our AI and machine learning capabilities, on some of the biggest data challenges in the market today. You’ll gain insights into how unstructured data is structured it at scale through AI-enabled services, including data linking, speech-to-text, and named entity recognition and disambiguation. In addition, see first-hand how Kensho Solutions, such a Link, Scribe and NERD, have leveraged machine learning to resolve these challenges efficiently and effectively.
  • 4:15 pm

    Break

  • 4:25 pm

    Panel: Solving the Alternative Data Challenge

    Moderator: David Coluccio, Managing Director, S&P Global Market Intelligence
    
    David Pope, Managing Director, Research, S&P Global Market Intelligence
    
    Tev Kofsky, Director & Co-Founder, Ipqwery
    
    Snowflake - Speaker To Be Announced

    • Alternative data is all the buzz. As you look to capitalize on the growth of new data sources, we understand the everyday challenges you face. In this panel discussion, you’ll learn about our alternative data curation process and what we’ve learned through practice. You’ll gain the opportunity to hear from our data partners — experts on big data management and alternative data — on trends they’re noticing and where they see the future of alternative data.
  • 5:05 pm

    Natural Language Processing: Feature Engineering

    Frank Zhao, Director, Quantitative Analysis, S&P Global Market Intelligence

    • Unstructured data is largely underexplored in equity investing due to its higher costs. As a result, the information content remains largely untapped and offers an investment edge for investors. During this presentation you'll hear how to apply Natural Language Processing (NLP) using domain knowledge to capture differentiated alpha from machine readable transcripts. Additionally you'll learn an application of NLP in the context of systematic equity investing by introducing new stock selection ideas in the areas of I) Topic Identification II) Call Transparency and III) Call Sentiment using more intricate yet intuitive NLP techniques and features.
  • 5:35 pm

    Networking with Our Experts and Data Partners