Shatter BI Limits: Using AI to Accelerate Data Insight
How big is the gap between data and action?
July 22, 2025
How big is the gap between data and action?
BI tools can deliver charts, dashboards, and filtered reports, but they still rely on your stakeholders to interpret the results and decide what to do next. BI software leaves much to be desired in the advanced analytics domain like analyzing electron microscopy images, parsing real-time sensor data, or interacting with unstructured inputs like transaction logs or freeform text.
AI-native systems offer a new path forward. They can transform raw inputs into full data applications, enabling analysts to reframe and explore data automatically. The result? Stakeholders are empowered to take swift, intelligent action. No filters, no dashboards, just insight to execution without the bottlenecks.
In this webinar, Plotly shared where the industry is heading and what this new stack means for organizations that prioritize action:
- Why BI, even with AI add-ons, struggles with operational and advanced analytics
- How data scientists, analysts, and domain experts can connect machine learning models to useable, interactive tools in minutes
- What AI-native analytics and prompt-powered engineering looks like
- How to tailor analytics with ease to derive value from data across all industries
We're seeing momentum shifting, and we’re excited to show you how we’re building that future. Join us to shatter BI limits and push past passive consumption of data.
Meet the Speakers

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.

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.