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What level of hard/technical skills should someone aim to develop to thrive as an AI product manager?

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3 Answers
AI Product Management
  1. Deepak Mukunthu
    Deepak Mukunthu

    Salesforce Senior Director of Product, Agentforce AI Platform • 4y

    Broad understanding of ML lifecycle and knowledge of key ML trends in the industry are required to be successful in AI product management role. Beyond this, the level of hard/technical skills required depends on the type of AI product management role - there are 4 different types: 1. Product focused: Infuse intelligence into products (e.g., search, personalization) 2. Platform focused: Infrastructure & tooling for data scientists and ML engineers to manager ML lifecycle 3. Business/Operation ...Read More

    936 Views
  2. Savita Kini
    Savita Kini

    Cisco Director of Product Management, Speech and Video AI • 4y

    Excellent question. Hard/technical skills are absolutely critical to be a successful AI product manager. As I mention in my other answers -- PMs bring domain knowledge, and customer perspectives to seek solutions. In AI/ML product development, we apply all the same foundational technical knowledge, with the added AI/ML component. AI/ML models do come at a cost for the compute, so one has to consider optimizations. For example, consider aspects like latency .."how much time will it take to comple ...Read More

    1,207 Views
  3. Shruti Tiwari
    Shruti Tiwari

    Principal Product Management, AI/ML • 1y

    I would divide the hard skills into 4 categories - AI foundational knowledge at conceptual level including understanding of AI/ML model lifecycle, different algorithms like regression, decision trees, neural network and their use cases, model evaluation metrics like accuracy, precision, recall etc. Latest evolutions in architecture and models like knowing which new open source models can be explored for specific use case, new architectures to be tried etc. Comfort with Data analysis - I found ha ...Read More

    194 Views

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