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Intercom on Product: Building Software in an AI-first World
The evolution of product management in the age of AI
Mar 14, 2024
40:51
Snipd AI
Exploring the challenges and opportunities of AI in product management, including problem-solving focus, customer perception, and customer attitudes towards AI adoption. Emphasizing the importance of control, confidence building, and adaptability in AI product development. Discussing the necessity of technical understanding for Product Managers in navigating AI systems and collaborating with ML engineers. Highlighting the integration of AI in product management workflows and the potential to revolutionize product development.
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Quick takeaways
- Curiosity is essential in AI product management for continuous learning and problem-solving.
- Starting with the core problem is crucial for meaningful AI integration in products.
Deep dives
AI Product Management Insights: Building AI-Driven Products at Intercom
Working on AI-driven products at Intercom involves a deep dive into the automation grid focusing on building automation for the self-sales support use case. Projects like Resolution Bot that leveraged neural networks to detect topics and match answers have been central. Multilingual enhancements and reporting features have further enriched Fin's capabilities. Prior experiences in different industries showcasing various AI projects bring a diverse mix of ML AI product expertise.
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