This is the second part of our conversation about Insight Assistant, where we talk with Kasia about one of the biggest misconceptions around AI assistants - that LLMs can solve everything, and should be used everywhere just because they’re popular. We break down when they truly add value, and when traditional solutions like scripts or frameworks still make more sense. We also discuss what really powers AI assistants behind the scenes, the difference between LLM engines, data security concerns, and what’s next for the product. Plus, we answer the big question: will AI assistants replace BI teams?
Spoiler: they won’t. But they will make their work way faster.