Summary







Summary







In this conversation, Cyrus and Lauren discuss the intersection of Agile and data science, specifically focusing on the challenges of shipping AI-enabled products quickly. They emphasize the importance of democratizing AI within organizations and the need for product managers to understand AI and ML concepts. They also discuss the prioritization of AI ML feature sets per quarter and the balance between quick wins and long-term strategic initiatives. Lauren shares her recommendations for getting buy-in and support from leadership, including listening, scenario planning, and making informed decisions.















Takeaways









Democratizing AI within organizations is crucial for enabling more people to understand and work with AI and ML.







Product managers should prioritize AI ML feature sets based on business goals and market expectations.







Balancing quick wins and long-term strategic initiatives is important for delivering outcomes and driving growth.







Getting buy-in and support from leadership requires listening, scenario planning, and making informed decisions.







Understanding the constraints and goals of different teams and stakeholders is essential for successful product management in the AI ML space.









Chapters







00:00 Introduction and Background







03:25 Challenges of Delivering Business Value Quickly







06:52 Democratizing AI within Organizations







11:05 Scoping AI/ML Feature Sets for Revenue Outcomes







14:12 Staying Up-to-Date with New Technologies







27:40 Incorporating AI into Product Strategies







28:54 Aligning Organizational Expectations and Goals







30:09 Understanding Constraints and Goals







33:10 Planning and Execution







36:04 Balancing Quick Wins and Long-Term Strategic Initiatives







40:17 Gaining Buy-In from Leadership







43:10 Democratizing Knowledge about AI and ML















Keywords







Agile, data science, intersection, challenges, shipping, AI-enabled products, democratizing AI, product managers, prioritization, feature sets, quick wins, long-term strategic initiatives, buy-in, leadership