AI in 2017 vs AI in 2026 ft. Abhay Tandon
EPISODE NOTES
Before LLMs became mainstream, the groundwork was already in motion. Abhay Tandon talks about running experiments back in 2017 while working at Target. The approach was simple but powerful: Use NLP to scan massive datasets. Identify the data points that actually matter. Extract signal from noise. Then use NLG to auto-generate reports. It wasn’t hype. It was structured automation. The core idea, though, hasn’t changed: 🔺 Automation scales analysis 🔺 Context increases decision quality 🔺 Generative AI compounds structured thinking AI didn’t suddenly appear in 2022. The foundation was always there. The tools just got exponentially better. 👉 Subscribe for more AI, data, and founder insights: https://yt.openinapp.co/zwuxj #AI #GenerativeAI #NLP #LLM #DataAnalytics #Automation #Founde…