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July 23, 2023

AI and product management

Key talk and Summarized with AI

AI and product management | Marily Nika (Meta, Google)

Extract top key notes as one liners in below format

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Summarized with Chat GPT-4
  1. Avoid using AI for the sake of using AI; ensure there's a real problem or pain point that needs to be solved in a smart way with AI.
  2. PMs should get comfortable working with research scientists who can develop AI and machine learning models to enhance product features.
  3. Don't implement AI into minimum viable products (MVPs); initial product propositions should be validated with users through prototypes before investing in AI.
  4. Understand that the quality of your AI product will depend on the diversity and volume of data you have; using the same data set as everyone else will yield similar results.
  5. Training a model involves providing the model (or "AI brain") with repeated examples (like images or text) until it learns to recognize and categorize inputs with a reasonable level of accuracy.
  6. AI will not replace product managers but rather enhance their capabilities by handling repetitive tasks and providing intelligent insights, allowing them to focus on strategic aspects of product management.
  7. There is an increasing need for product managers to become AI product managers who can understand, implement, and effectively leverage AI technologies in creating and managing products.
  8. AI product managers need to be prepared for uncertainties, complex leadership scenarios, data sourcing challenges, and different career progression paths.
  9. To get buy-in for AI projects, provide evidence of successful AI implementations, propose fallback plans, and show potential to monetize AI capabilities.
  10. Continuous learning, keeping updated with advances in AI technology, and educating yourself through resources like online courses, AI platforms like AutoML and OpenAI, and academic research are recommended approaches to becoming a strong AI product manager.
  11. Creating and offering courses on AI and other subjects can be rewarding and beneficial, both for sharing knowledge and for personal growth and learning.
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