5 best practices for AI-driven customer experience
Customer experience is changing fast. The most successful companies use AI to personalize every interaction, predict customer needs, and deliver proactive support before issues arise.
This session explores how leading CX and AI teams design feedback loops and data pipelines that measure satisfaction, anticipate problems, and create scalable data flywheels for continuous improvement.
Drawing from his experience at Snowflake and the open source AI community, Rajanikant Vellaturi will share practical frameworks for operationalizing AI in customer experience, combining automation with empathy and ensuring responsible deployment at scale.
Key Topics
✦ Hyper-personalization and behavioral signals
✦ Turning feedback into measurable insights
✦ Predictive analytics for proactive support
✦ Balancing automation with human connection
✦ Governance, bias control, and transparency
Why Attend
A concise blueprint for building AI systems that continuously learn and improve customer experience. You’ll walk away with actionable frameworks to design scalable, safe, and human-centered CX architectures.
Speaker
Rajanikant Vellaturi is Senior Support Communications Manager, Snowflake (Data & AI for CX), IEEE Senior Member, and Industry Board Advisor. Rajanikant focuses on practical CX improvements, turning customer feedback into reliable signals and actions. His All Things Open article outlines the simple playbook this talk covers.
Host
Boaz Descalo
Founder, Node8.ai
Boaz advises growth-stage and PE-backed companies on AI strategy and implementation across GTM, operations, and product development. He is the creator of the Build AI Community and an active advisor to multiple tech and investment groups.
About Build AI Community
A network of builders, founders, and technical leaders driving hands-on innovation in AI. We hosts workshops, webinars, and collaborative projects that give members the tools, systems, and network to turn AI from idea to impact.