Data analytics is accelerating, and the biggest shift is agentic coding—AI that works with you like a real project partner. In this talk, I’ll show how AI-driven agents can help analysts and professional students clean data, write and debug code, explore datasets, and build reproducible workflows without wrestling with environments or boilerplate. Through a live demo, you’ll see how agentic coding dramatically speeds up learning, improves quality, and helps you produce work that’s closer to data science and engineering—no matter where you’re starting from.

Speaker Bio: Greg Michaelson is the Co-Founder and Chief Product Officer of Zerve, where he leads the development of an AI-driven agentic environment purpose-built for data teams. With a career spanning advanced analytics, machine learning innovation, and product leadership, Greg previously served as Chief Customer Officer at DataRobot, helping global organizations unlock business impact through AI. He has also held senior analytics leadership roles in financial services, including Travelers and Regions Bank. Greg holds a Ph.D. in Applied Statistics from The University of Alabama and is a Certified Analytics Professional. He is passionate about transforming how data professionals build, collaborate, and scale AI solutions.

Company Description: Zerve is a purpose-built, agent-powered development environment designed specifically for data professionals. Unlike traditional notebooks or generic coding assistants, it combines scalable, production-grade execution with real-time collaboration and automation through intelligent agents. Available as SaaS, in-cloud, or on-premise, Zerve helps data teams explore, test, and deliver faster—without the friction of fragmented tools.