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