AMA: BILL Director Product Management, Advaita Nigudkar on AI Product Management
July 16 @ 10:00AM PT
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We will email you Advaita's answers to these questions after the event in case you can't make it.
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How is AI changing your day-to-day product management responsibilities? What can you automate?
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What new skills will product marketers need to succeed in an AI-powered marketing landscape? (e.g., Data analysis, understanding AI capabilities and limitations)
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What certifications or training can help product marketers stay ahead of the curve with AI?
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How are you influencing how Product thinks about AI in the roadmap? What can I do to be a more credible partner to the product team in this area?
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What is your framework on ways that generative AI can be integrated in your saas offering to make your product more valuable to customers?
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How to you see Agentic AI evolving with regards to OmniPayments ( web, mobo, brick & mortar, invoicing, POS) experience, not only through current happy path we are seeing. Can you share some innovative use case you're aware of?
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What customer segments do you see as early adopters for agentic features, and how does this inform your rollout strategy?
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What are the earliest indicators that a dataset is “good enough” to yield a high-quality model?
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What has been your most effective operating model for working with Data Science/ML teams during discovery?
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How do you balance user feedback vs. model metrics when they conflict?
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What’s the biggest mistake you’ve seen PMs make when shipping an AI feature?
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If you had to hire a new grad PM, what are the signals you look for ?