Paradime is the pioneer in building the 'Cursor for Data' - a platform for the AI-enabled analytics engineer to achieve 10x productivity. In this lighting talk, we will showcase how Paradime and DinoAI is changing the way analytics engineering is done.

AI is changing every aspect of how we do our work and analytics engineering is no different. However, using AI to achieve 10x productivity improvements requires a totally new approach to how we do analytics. In this session, we will demystify how to use context engineering, and prompting techniques based on practical experience we've had at rolling our Paradime to some of the most innovative and AI-forward startups, scale-ups and enterprises.

Paradime is the pioneer in building the 'Cursor for Data' - a platform for the AI-enabled analytics engineer to achieve 10x productivity. In this lighting talk, we will showcase how Paradime and DinoAI is changing the way analytics engineering is done.

Analytics engineers are at a crossroads. Back in 2018, dbt paved the way for for this new kind of data professional, people who had technical ability and could understand business context. But here's the thing: AI is automating traditional tasks like pipeline building and dashboard creation. So then what happens to analytics engineers? They don't disappear - they evolve.

The same skills that made analytics engineers valuable also make them perfect for a new role I'm calling 'Analytics Intelligence Engineers.' Instead of writing SQL, they're writing the context that makes AI actually useful for business users.

In this talk, I'll show you what this evolution looks like day-to-day. We'll explore building semantic layers, crafting AI context, and measuring AI performance - all through real examples using Lightdash. You'll see how the work shifts from data plumbing to data intelligence, and walk away with practical tips for making AI tools more effective in your organization. Whether you're an analytics engineer wondering about your future or a leader planning your data strategy, this session will help you understand where the field is heading and how to get there.

When customers enjoy Gousto's recipe kits, they see the delicious result but not the careful steps it takes to get there. Data works the same way. In this session, Yanick will share how Gousto built a business case for analytics engineering, making an often-invisible discipline central to the company's strategy. He'll unpack how the team moved from ad-hoc outputs to a structured, mesh-ready approach, reducing complexity, proving ROI, and giving leadership confidence in data as a competitive advantage.