Your executive blueprint for building a trusted data foundation for autonomous, real-time business action.

Discover the strategic rationale and execution playbook behind our leading customer's data foundation rebuild. Learn how they overcame structural roadblocks to unlock new, scalable AI capabilities across their enterprise.

Data leaders are moving beyond static dashboards to create self-operating workflows where business users query data through conversations, and multi-agent systems execute autonomous actions. Explore the key components to power this reality: intuitive conversational systems, self-operating workflows, collaborative multi-agent systems, and clear delegation frameworks.

Niyati Upadhyay - Data and AI Migration Specialist, Google Cloud

Most AI projects fail due to the operating model, not the technology. Be boardroom-ready and join our panelists as they discuss the ultimate trifecta:

• Culture: Moving teams "above the loop" to transform your analysts into strategic agent orchestrators
• Governance: Establishing active, real-time oversight rather than reacting to mistakes
• Costs: Creating sustainable financial frameworks to scale operations

Moderator - Rajesh Shewani - Head of AI Customer Engineering, Google Cloud

Speakers -

Amresh Singh - Chief Operating Officer, Evergent Technologies Ltd.

Amit Kapur - Vice President, AI, Data and Analytics, Lowe's India

This closing session showcases an end-to-end architecture and invites customers to take a structured assessment to evaluate their data readiness.

Rajesh Shewani - Head of AI Customer Engineering, Google Cloud