Generative AI & Synthetic Data

3 talks from the 2026 edition.

AI Evals Done Right: From Vibes to Confident Decisions ▶ Recording 📝 Transcript

Martin Seeler

Testing traditional software is "simple"... same input, same output. LLMs? Not so much. Same prompt, different result every time. So how do you actually know if your AI product is good? Most teams struggle with this....
Building Non-Biased Synthetic Datasets: What Actually Works (and What Fails) ▶ Recording 📝 Transcript

Shiva Banasaz Nouri

Synthetic data is often presented as an easy fix for missing or sensitive datasets, but in practice, it can silently introduce bias, leakage, and misleading evaluation results. This talk presents a practical,...
Foundation Models in Forecasting: Are We There Yet? Lessons from the Trenches ▶ Recording 📝 Transcript

Dr. Irena Bojarovska

The rise of time-series foundation models like Chronos-2 and TimesFM has sparked a debate: can a single pre-trained model replace the specialized "local" models we have tuned for years? We moved beyond the hype to...