A great many legacy self-service analytics vendors talk about proactive insights. This usually means they surface a few anomalies. To us, proactive generative insights means your AI needs to be equipped to, in a self-guided way, respond and react to a changing data environment and build strategies to provide valuable insights.
We asked GPT 4 what a knowledge worker was and it said: “a professional who utilizes specialized knowledge, analytical skills, and critical thinking to solve complex problems, generate ideas, or create intellectual value within an organization.” I guess if you took GPT and taught it to strategize using enterprise data, interact with users to optimize for high-value analytical work, and how to assess its own work, all 24x7 with no stopping and the world’s knowledge in its brain…well you get the point.
Maybe Cos was right. Cos was probably right. One thing we’ve noticed about what we’ve built, and something our customers have pointed out, is the potential is clearly there for generating increasingly strategic analytical products. Our product today is an on-demand, always running knowledge worker. Soon, we’ll be running enterprise simulations and planning with internal and external data sources all day every day. Don’t forget, this strategy machine is clever.
