Plotly Presents: The Rise of Vibe Analytics
September 23, 2025
The future of data analytics holds so much more potential than just chatting with your data or click-and-drop interfaces. With the right approach, AI can generate data interpretations and testable insights that enables a new way of engaging with data in a kind of “improvisation for insights”. This is the analogue of vibe coding. This is vibe analytics.
There are no better experts to discuss vibe analytics than our guests Michael Schrage and Brian Julius:
- Michael Schrage is an MIT Sloan research fellow and author of the authoritative study of vibe analytics. His research at the intersection of behavioral economics and applied AI has uncovered the emergence of generative AI-powered improvisation with models in an approach he calls “vibe analysis”. He asserts that the value from vibe analysis comes from facilitating more collaborative human-AI engagement and more quickly generating actionable insights.
- Brian Julius is a 6x LinkedIn Top Voice in data analytics and AI. As an independent consultant, he works at the leading edge of implementing AI in data analysis and shares his learnings on Data Mad Science. His work is informed by constant experimentation with the latest LLMs, agents, Power BI and Plotly Studio. He has unique and timely insights to share on the changing role of the data analyst.
This event also marked the debut of Plotly Studio, the first Agentic Analytics offering to offer 1 billion knowledge workers to gain instant insights from their data using AI. In only two minutes, anyone can go from data-to-insight, generating amazing, sophisticated visualizations, dashboards, and data apps in a fluid workflow we’re calling ‘vibe analysis’. If you are a data analyst pro, you can go much further through its spec-driven BI development and AI-powered natural language iteration. And for the Python- and SQL-capable, you can verify the results and extend the data apps since everything is implemented in code, backed by a natural language specification.
With Plotly Studio, you simply feed your data, watch it evolve in code, specs, or both, and instantly see your ideas come alive as interactive dashboards, visualizations, and data apps you can share with anyone.
From finance to research, from the C-suite to the lab bench, Plotly Studio gives every mind the power to see new patterns, tell stories, and spark change faster than ever before. Welcome to analytics at the speed of thought.
Meet the Speakers
Michael Schrage
Michael Schrage is a Visiting Fellow in the Imperial College Department of Innovation and Entrepreneurship, where he examines the various roles of models, prototypes, and simulations as collaborative media for innovation risk management. He has served as an advisor on innovation issues and investments to major firms, including Mars, Procter & Gamble, Google, Intel, BT, Siemens, NASDAQ, IBM, and Alcoa.
Brian Julius
Brian Julius is a 6x LinkedIn Top Voice, IBCS Certified Data Analyst, and Power BI expert with over 35 years of experience in analytics and data science. A former U.S. Federal Government data leader, then a Chief Content Officer in the tech sector overseeing the creation of educational content for data analysts, he now works as a private consultant, helping clients integrate state-of-the-art AI approaches into their analytics workflows. He is active in the global data community and passionate about helping members achieve their goals.
Chris Parmer
Chris is the Chief Product Officer and Co-Founder of Plotly. As the creator of Dash, Chris leads development efforts to make the framework the fastest way to build, deploy, and scale interactive analytic applications. His favorite part about working at Plotly is working with our passionate customers.
Domenic Ravita
Domenic is VP of Marketing at Plotly with 20+ years in B2B data infrastructure. An engineer-turned-marketer, he excels in product marketing and demand generation, bridging technical products and market needs for developers, architects, and business leaders.
Matt Brown
Matt is a Senior Product Manager at Plotly, specializing in data analytics and visualization. With a strong background in supporting small start-ups, he helps teams accelerate development practices, enhance user engagement, drive product satisfaction, and grow customer bases. Prior to his career in Product Management, Matt designed and developed web applications, including the front-end architecture for a real-time global asset tracking system.
Nathan Drezner
Nathan Drezner is a Technical Product Manager at Plotly, where he leads development of Dash, Plotly.py, Plotly.js, and other open-source libraries. He focuses on performance, modernization, and features like Dash AG Grid, deep links in Dash Enterprise, and AI-assisted development in Plotly Studio. Nathan previously led Plotly’s Professional Services team and holds a B.A. in English and Computer Science from McGill University.
Adam Schroeder
Adam Schroeder is passionate about helping people learn data visualization. He has helped the community grow by building 1:1 relationships, resulting in 1.5 million downloads of Dash per month. Prior to joining the team, Adam taught Plotly Dash for over three years on YouTube as @CharmingData, whose videos have over 60,000 views per month.