Uploaded June 2025 | Updated September 2026, 2 weeks ago
#AgenticAI #AIProductManagement #ResponsibleAI
As AI evolves from passive tools to autonomous agents, product managers must adapt to a new era of intelligent systems that can reason, act, and make decisions independently. This session explores how Agentic AI challenges traditional PM approaches — and what it takes to design these systems responsibly.
We’ll cover how to manage autonomy, ensure safety and governance, and design user experiences that support trust and control in goal-driven, adaptive AI applications.
What We Will Cover:
- What Agentic AI is — and why it redefines the AI product landscape
- Key challenges: unpredictability, cost, tool access, and system adaptation
- Scoping valuable agentic use cases with oversight
- Frameworks for trust, governance, and ethical compliance
- Why traditional PM methods fall short — and what new approaches are needed
- Designing for transparency, explainability, and user control
#AIProductDesign #ResponsibleAI #TrustworthyAI #ExplainableAI #EthicalAI
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Table of Contents:
0:00 – Introduction and Why GenAI Product Management is Unique
2:22 – What is Agentic AI? Understanding the Core Stack
4:10 – The Hierarchy of Agent Capabilities
7:15 – Key Components: Intent, Planning, Memory, Feedback
13:30 – Top Challenges for Product Managers in Agentic AI
14:10 – Turnkey GenAI is a Myth
18:00 – Bias, Compliance & Privacy Hurdles
20:20 – Why PMs Need Deep Technical Fluency
22:50 – Designing Defensive UX & Guardrails
24:10 – Managing Tradeoffs: Performance, Cost, Correctness
26:30 – Introduction to MCP (Model Context Protocol)
28:55 – Real-World Deployment Pitfalls
31:25 – Live Q&A: Agile, Evaluation, and Model Distillation
39:45 – Final Thoughts and Takeaways
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👉 Learn more about Data Science Dojo here:
datasciencedojo.com
👉 Watch the latest video tutorials here:
datasciencedojo.com/tutorials
👉 See what our past attendees are saying here:
https://datasciencedojo.com/data-scie...
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At Data Science Dojo, we believe data science is for everyone. Our in-person data science training has been attended by more than 8000+ employees from over 2000+ companies globally, including many leaders in tech like Microsoft, Apple, and Facebook.
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🔗 Subscribe to our newsletter for data science content & infographics: datasciencedojo.com/newsletter
#AgenticAI #AIProductManagement #ResponsibleAI
As AI evolves from passive tools to autonomous agents, product managers must adapt to a new era of intelligent systems that can reason, act, and make decisions independently. This session explores how Agentic AI challenges traditional PM approaches — and what it takes to design these systems responsibly.
We’ll cover how to manage autonomy, ensure safety and governance, and design user experiences that support trust and control in goal-driven, adaptive AI applications.
What We Will Cover:
- What Agentic AI is — and why it redefines the AI product landscape
- Key challenges: unpredictability, cost, tool access, and system adaptation
- Scoping valuable agentic use cases with oversight
- Frameworks for trust, governance, and ethical compliance
- Why traditional PM methods fall short — and what new approaches are needed
- Designing for transparency, explainability, and user control
#AIProductDesign #ResponsibleAI #TrustworthyAI #ExplainableAI #EthicalAI
---------------
Table of Contents:
0:00 – Introduction and Why GenAI Product Management is Unique
2:22 – What is Agentic AI? Understanding the Core Stack
4:10 – The Hierarchy of Agent Capabilities
7:15 – Key Components: Intent, Planning, Memory, Feedback
13:30 – Top Challenges for Product Managers in Agentic AI
14:10 – Turnkey GenAI is a Myth
18:00 – Bias, Compliance & Privacy Hurdles
20:20 – Why PMs Need Deep Technical Fluency
22:50 – Designing Defensive UX & Guardrails
24:10 – Managing Tradeoffs: Performance, Cost, Correctness
26:30 – Introduction to MCP (Model Context Protocol)
28:55 – Real-World Deployment Pitfalls
31:25 – Live Q&A: Agile, Evaluation, and Model Distillation
39:45 – Final Thoughts and Takeaways
---------------
👉 Learn more about Data Science Dojo here:
datasciencedojo.com
👉 Watch the latest video tutorials here:
datasciencedojo.com/tutorials
👉 See what our past attendees are saying here:
https://datasciencedojo.com/data-scie...
--
At Data Science Dojo, we believe data science is for everyone. Our in-person data science training has been attended by more than 8000+ employees from over 2000+ companies globally, including many leaders in tech like Microsoft, Apple, and Facebook.
--
🔗 Subscribe to our newsletter for data science content & infographics: datasciencedojo.com/newsletter
