AMA: DocuSign Senior Director of Product, AI/ML Platform, Deepak Mukunthu on AI Product Management

AI PMs are expected to have a broad understanding of ML lifecycle and knowledge of key ML trends in the industry. Ensure your product management basics are strong: Deep f...

While working on ML product/feature, there are 2 sets of metrics: 1. Product success metrics that product managers define. Purpose of the is to measure the business/produ...

Assuming you are specifically interested in AI product management, I would suggest these approaches to get started with ML. While I was new to ML/AI, these approaches hel...

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 ...

I have seen 4 different types of AI Product Managers: 1. Product focused: Infuse intelligence into products (e.g., search, personalization) 2. Platform focused: Infrastru...

While infusing ML into a product can be extremely powerful to light-up new scenarios for customers and to optimize current scenarios, it can take a lot of effort to get i...