From Season 2 Ep. 16 Amit Prakash of ThoughtSpot on empowering companies to make data-driven decisions · · TheRobotBrainsPodcast
“The solution to this problem really lies in how we can represent knowledge efficiently and how we can capture knowledge efficiently — GPT captures a lot of real-world knowledge but we need structured capture of domain knowledge for enterprises.”
On , Amit Prakash, Cofounder at ThoughtSpot, spoke about knowledge representation during Season 2 Ep. 16 Amit Prakash of ThoughtSpot on empowering companies to make data-driven decisions on TheRobotBrainsPodcast.
Amit Prakash, cofounder and CTO of ThoughtSpot, discussed the company's mission and approach to data analytics in a 2022 podcast interview. He stated that ThoughtSpot aims to "empower the people who understand the business" to query data using a "Google-like interface" that translates natural language questions into deterministic results. Prakash noted that the company chose the analytics market because it was "ripe for disruption," with many enterprises using solutions built "10–20 years ago." He also discussed the company's partnership with Snowflake and its acquisition of a company called Sequel, which operates in the reverse-ETL space. Prakash addressed the limitations of large language models like GPT for enterprise analytics, arguing that solving business-specific queries requires "structured capture of domain knowledge" rather than general real-world knowledge. He emphasized that only employees within a company understand specific business correlations, and that capturing this knowledge efficiently is key to the product's success. Prakash also credited early investor Lightspeed for their support and advised founders to "spend more time early on to get the problem right" before writing code.