Everyday AI Podcast – An AI and ChatGPT Podcast
EP 161: Product Strategy in the Age of AI
Dec 8, 2023
Svetlana Makarova, AI Group Product Manager at Mayo Clinic, leads the conversation on user-centric AI strategies. She discusses the critical balance between innovative AI implementation and user experience, urging a focus on seamless integration over trendy features. Svetlana also highlights the importance of explainable AI in building trust and emphasizes the need for real user feedback in shaping effective product strategies. Tune in for insights on overcoming hurdles in AI adoption and the future of predictive analytics in enhancing daily interactions.
33:00
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Quick takeaways
- Implementing AI in products requires a user-centric approach, understanding the needs and problems to be solved.
- Explainable AI is vital in user-centric AI products, opening up the black box and instilling trust by showing users how AI algorithms work.
Deep dives
Implementing AI in Products: A User-Centric Approach
Implementing AI in products requires a user-centric approach, understanding the needs and problems to be solved. It is crucial to consider if AI is the best solution for a specific use case. Starting with a first use case that streamlines tasks and provides efficiencies can help de-risk the investment. Democratizing access to data, adopting a platform approach for AI applications, and having a flexible infrastructure for experimentation are key components to scale AI in the enterprise. User feedback and iterative development are essential for creating user-centric AI products that instill trust and seamlessly integrate AI into workflows.
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