Sharebird
Sign Up / Sign In
Back to Your Feed
3 Answers
Deepak Mukunthu
Deepak Mukunthu
Salesforce Senior Director of Product, Einstein AIJune 28
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 focus on customers, business priority, foster an experimentation culture. In this session, I also covered key traits of successf......Read More
353 Views
Suhas Manangi
Suhas Manangi
Airbnb Group Product ManagerJune 7
Top 3 traits that makes a Good PM a Good AI PM: 1. Understand foundational ML tech concepts and having used them to make product decisions. For eg: Statistical Regression, Causation vs Corelation, AUC, P/R, Features vs Labels, Feature distribution, Model Training, Model drift and au......Read More
936 Views
Savita Kini
Savita Kini
Cisco Director of Product Management, Speech and Video AIMarch 3
Key traits for AI PM is no different from other PM roles -- empathy for customer issues, ability craft / create / articulate problems and how we might approach the solution, industry and domain experience, and collaborative leadership to work with engineering. Willingness to learn or prior experi......Read More
326 Views
RELATED
Savita Kini
Savita Kini
Cisco Director of Product Management, Speech and Video AIMay 9
There is no one "metric" that ML Product Teams will use to define success. It entirely depends on what is the "ML" used in the context of a feature or product. Typical metrics might include * Quality improvements achieved via ML implementation vs traditional algorithmic implementations * U......Read More
154 Views
RELATED
Suhas Manangi
Suhas Manangi
Airbnb Group Product ManagerJune 6
PMs are generally categorised into B2C (Consumer), B2B (Enterprise), Platform, and Product. PMs role is generally 2 of these 4 things. Within this one can also be generalist PM vs domain PM vs growth PM vs scale PM etc. AI PM is the same. One additional categorey can be about building ML Ops plat......Read More
519 Views
RELATED
Deepak Mukunthu
Deepak Mukunthu
Salesforce Senior Director of Product, Einstein AIJune 28
I have seen 4 different types of AI Product Managers: 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/Operations focused: ML to improve p......Read More
357 Views
RELATED
Rapha Danilo
Rapha Danilo
Gong Director of ProductApril 27
The same first principles actually still apply to AI PMs, but with an added dimension of complexity, which is that a generational paradigm/platform shift like AI requires a PM to re-think the benchmarks for what good looks like, consider the new types of outputs/inputs required, and the additiona......Read More
432 Views