Venkatesan Santhirahasan

Deploying Generative AI successfully in one area is just the beginning—scaling its impact across the enterprise requires strategic alignment, robust infrastructure, and strong governance. This session will guide enterprises through the critical steps to move AI projects from experimentation to business transformation.

·        Identifying high-impact, scalable use cases and securing stakeholder buy-in.

·        Building a strong AI foundation: Ensuring data, infrastructure, and governance readiness.

·        Designing robust workflows for model development and deployment.

·        Fostering an AI-driven Culture, Encouraging Cross-functional Collaboration and Change Management.

·        Defining success metrics to ensure AI delivers sustainable business impact. 

• Applied AI in Action: Embedding AI into digital platforms to improve decision-making and efficiency.
• Data-Grounded Intelligence: Using RAG to ensure accuracy and reduce misinformation.
• Simplified Infrastructure: Deploying a unified AI stack to reduce complexity and speed up innovation.
• Compliance and Security: Automating guardrails to meet regulatory and brand standards.
• Empowered Teams: Equipping employees with AI copilots that enhance expertise and productivity.