Karin Schöfegger is a seasoned ML product manager who knows how to create successful AI/ML products and mitigate the risks involved. In this episode, she shares her insights about challenges in building AI products. Tune in to learn about:
  • How to align the business side and the data science side of product development
  • What's the difference between traditional software development and machine learning development
  • How to bring customer understanding into data science and engineering
  • What are the most common traps in data science
  • Why it's essential to work with realistic data instead of picture-perfect datasets
  • How to get buy-in from stakeholders for ethical AI