Prakash is a seasoned leader in the data space, leading the Data Engineering function at Atlassian and driving innovation and AI enablement across internal corporate teams. Prakash's expertise intersects Data Engineering, Data Platform, AI, Business Intelligence, and Analytics.
• Defining what business value means
• Real-world examples across industries: from autonomous customer service agents to dynamic R&D copilots
• What it takes to move from experimentation to production—including data, architecture, and change management
• Best practices for optimizing inferences
• How to measure ROI, value creation, and performance gains in real-world agentic deployments
• Lessons from enterprises that successfully moved from pilot experiments to production-ready agent ecosystems