AI-powered
podcast player
Listen to all your favourite podcasts with AI-powered features
Exploring Data and Assumptions in Creating AI-Enabled Digital Products
This chapter emphasizes starting with simple assumptions, gathering insights from customers and experts, and using simpler models to gain early traction in creating AI-enabled digital products. It highlights the need to prioritize data-driven insights over subjective opinions, utilizing the 10Q framework to uncover insights that may challenge initial hypotheses. The discussion also covers the importance of continuously monitoring model health, recognizing when to transition to more advanced versions, and how competition drives the adoption of AI capabilities in digital products.