Sharebird
Communities
Product MarketingProduct ManagementDemand GenerationRevenue OperationsSalesCustomer Success
MentorsAbout Us
Sign Up / Sign In
Ask me anything
AMA Page
Deepak Mukunthu

AMA: Salesforce Senior Director of Product, Agentforce AI Platform, Deepak Mukunthu on Leveraging Agentic AI Trends for Success

March 13 @ 10:00AM PT
Register for AMA
We will email you Deepak's answers to these questions after the event in case you can't make it.
How do you see the evolution of Agentic AI compared to other AI paradigms (e.g., generative AI, reinforcement learning, autonomous agents)?
How do you integrate continuous learning loops in AI-driven products without compromising predictability and user trust?
What governance frameworks do you recommend for auditing AI agent behaviors and ensuring alignment with ethical and legal standards?
How should PMs structure collaboration between data scientists, engineers, legal, and UX teams when developing Agentic AI features?
If you were starting your career today, what AI-specific skills or knowledge areas would you prioritize learning?
How can a PM determine whether a product should use fully autonomous AI agents versus human-in-the-loop AI augmentation?
How can a product team successfully onboard users to an Agentic AI experience when traditional UX patterns might not apply?
What trends do you predict will shape the next 5–10 years of AI autonomy in product management?
What early signals or indicators suggest that an AI agent is drifting away from its intended goal or exhibiting emergent behaviors that weren’t anticipated?
How do you approach global expansion with AI-driven autonomy, considering differences in regulations, cultural expectations, and risk tolerance?