“It doesn’t matter whether it works. It could be the best executed terrible idea ever.”
Mike Palmer, CEO, Sigma Computing, offers one of the most direct critiques of AI-powered business intelligence to surface this year. He is talking specifically about the rising excitement around text-to-SQL bots, the AI tools that aim to convert natural language into perfect database queries.
“This is not what AI was supposed to do for end users,” Palmer says. “We think these products are a joke.”
That statement might seem surprising coming from the CEO of a company that recently crossed $100 million in annual recurring revenue and closed a $200 million Series D. But for Sigma, dismissing one of the most hyped use cases in AI is consistent with a broader strategy. Instead of
Sigma’s AI Strategy Starts With a Simple Assumption That “AI Is Always Wrong”
- By Anshika Mathews
- Published on
AI is always wrong for one of two reasons. Either the model is wrong or the question is unclear. We address both.
