In this talk, Alexandre Lebrun recounts his journey in the field of chatbots and artificial intelligence. He shares the challenges encountered, the importance of distribution, the necessity of focusing on a single objective, and the future opportunities of AI, particularly in the healthcare sector.
The main key learnings
- Use simplicity for mass adoption. Create products that are easy to use to encourage adoption by developers and users, just as wit.ai made the integration of natural language processing simple.
- Combine human and AI for powerful solutions. Integrate artificial intelligence with human intervention to increase efficiency, as exemplified by Facebook's M assistant.
- Discover the right problems to solve through an integrated approach. Adopt a full-stack approach to identify and solve critical issues in the field, like Nabla identified the need to reduce doctors' administrative tasks.
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