Description

Agentic AI is transforming industries worldwide, accelerating innovation and redefining enterprise operations across sectors. As adoption grows rapidly, the need for a skilled and adaptable workforce becomes crucial to fully harness the potential of intelligent autonomy.

Join the Association of Data Scientists (ADaSci) for the webinar “Agentic AI Workforce Readiness Strategies for CXOs” featuring Gurbans Chatwal, Vice President at Fiserv. This session will offer senior leaders strategic insights on preparing talent, reshaping operating models, aligning leadership, and implementing effective upskilling programs. Equip your enterprise with actionable strategies to lead workforce transformation and thrive in the evolving AI-driven landscape.

Expert Speaker

Gurbans Chatwal, Vice President, Fiserv

Gurbans Chatwal is Vice President of Innovation and Intelligent Automation at Fiserv and a renowned industry leader with over 25 years of global experience across fintech, startups, and education. Recognized as an ‘Expert Engineer,’ he leads AI-driven transformation and product innovation. He is also the founder of SARAL and a trusted mentor in AI, leadership, and systems thinking, known for empowering organizations and individuals through strategic guidance and interdisciplinary learning.

Agenda

• Understanding Agentic AI – What it means for enterprises and leadership.
• Workforce Readiness – Assessing and closing talent capability gaps.
• Operating Model Shifts – Adapting structures for AI-native workflows.
• Leadership Alignment – Enabling executive teams to lead AI transformation.
• Upskilling Strategies – Designing impactful learning pathways for AI-era roles.

Who Must Attend

• C-level Executives
• Business Executives and Strategy Leaders
• Enterprise and Functional Leaders
• Learning and Development Heads
• AI and Innovation Leaders

Key Takeaways

• Understand the strategic role of agentic AI in enterprise transformation
• Learn how to assess and build workforce readiness for AI-driven environments
• Discover operating model shifts needed for intelligent autonomy
• Gain insights on aligning leadership and organizational culture with AI adoption
• Explore practical approaches to upskilling and capability building at scale