Shiladitya Mallik

What does real skill development look like when practice with AI is measured at scale? 

Drawing on insights from over one million AI-driven role plays across global life sciences organizations, this session reveals how sales teams actually build conversational competence. You'll explore patterns in how repeated practice improves performance, how learners progress toward proficiency, and why challenging conversations often drive the greatest growth. 

The session also highlights how structured practice design, feedback loops, and manager engagement turn role plays into a continuous learning engine rather than a one-time activity. 

Designed for learning and enablement leaders, this session offers a practical, data-backed framework to rethink sales readiness. Thus, helping teams move from participation-based training to measurable capability development and real-world performance improvement. 

3 key learning takeaways: 

• Understand key patterns in how field reps build skills through AI-driven repeated practice
• Apply a structured practice framework to improve field readiness and learning retention
• Leverage measurable indicators and coaching signals to drive continuous skill development and performance improvement