David is a Senior AI/ML Engineer dedicated to empowering developers to build, scale, and deploy AI/ML solutions in production environments. He brings deep expertise in building and training models for applications like NLP, vision, real-time analytics, and even models to classify diseases in a medical setting. His mission is to help users build, train, and deploy AI models efficiently, making advanced machine learning accessible to users of all levels.
David has been heavily involved in the AI/ML community, specifically in conversational AI solutions and driving AI platform growth in a DevRel and pre-sales role. David frequently shares his insights at industry conferences and events, offering hands-on guidance for implementing AI/ML in cloud environments. David's prior experience includes contributing to the Kubernetes and CNCF ecosystems, working hands-on with VMware virtualization, implementing backup/recovery solutions, and developing hardware storage adapter firmware and drivers.
Retrieval-Augmented Generation (RAG) is a cornerstone of modern AI solutions, powering search, observability, and analytics. But what if agents could dynamically ingest new data sources and consult with each other seamlessly? Enter Model Context Protocol (MCP) and Google's Agent2Agent (A2A); two groundbreaking technologies poised to redefine how agentic systems function. MCP enables AI models to flexibly integrate external, contextual data, while A2A opens new possibilities for inter-agent cooperation and smarter, collective decision-making.
In this session, you'll discover how MCP and A2A fundamentally reshape RAG systems, paving the way toward truly adaptive, conversational agents that continuously evolve and collaborate. Through a series of engaging, live demos, you'll see firsthand how these technologies can dramatically improve search relevance, data observability, and overall system intelligence. Join us to understand and prepare for this transformative shift because the next wave of RAG and Agentic AI isn't just coming, it's already here. Are you ready?
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