Session: From Chatbots to AI Agents: Building the Next Generation of Enterprise Intelligence
The evolution from chatbots to AI Agents marks a new era in enterprise intelligence — where autonomous systems can reason, act, and collaborate with humans to solve complex business challenges. In this session, Edelweiss Kammermann explores how organizations are designing and deploying AI Agent architectures that combine Generative AI, Retrieval-Augmented Generation (RAG), and domain-specific knowledge to enable natural interactions with enterprise data.
Drawing from real implementations across industries, she will demonstrate how these agents can improve decision-making, automate processes, and empower business users — regardless of which cloud, data platform, or language model is used.
Bio
Edelweiss Kammermann is a Data Analytics, AI and ML specialist with over 25 years of consulting, project management, and team lead experience.
In the last ten years, she has been building and managing global Analytics, AI and ML teams for US companies. As an SME, she offers clients analysis, recommendations, and advice regarding their Analytics, AI, and ML ecosystem and roadmap.
She is a recognized international speaker, frequently presenting in English, Spanish, and Portuguese on topics including Analytics, AI, ML, and cloud-based technologies.
Currently, she serves as Associate Vice President of AI & Machine Learning at IT Convergence