Explore the potential and challenges of applying alternative data to quantitative equity strategies in this 25-minute conference talk from the Toronto Machine Learning Series. Delve into case studies highlighting the advantages of alternative data in investing, and examine its promise in quantitative equity strategies. Learn about the unique challenges of working with alternative data through the lens of Delphia's machine learning-driven long-short equity market neutral strategy. Led by Serena McDonnell, Lead Data Scientist at Delphia, gain valuable insights into the evolving landscape of data-driven investment approaches and their impact on the financial industry.