Future of BI: Visuals, AI, and Databricks #shorts

Traditional point-and-click BI tools are being replaced by voice-driven interfaces that answer natural-language questions with visual dashboards. Databricks' semantic layer and Genie AI embed business knowledge into the stack, letting any BI tool surface intelligent visualizations and real-time answers without manual drilling.
Chapters
I think it's, it's voice. And so clicking and dragging and dropping like BI tools, like I clicked here, I did that. I think that part is going away. But on the flip side, what I do believe is the way that our brain kind of interprets data. Yeah. It's still very much more purpose-built, not for text, but for visuals, what kind of dashboards and what. So I think what you're ending up seeing is that there's tools where like you interact, you ask questions and results come back in terms of kind of visuals. But then you can double-click on it again without clicking and driving. Like, I'll give you a simple example. I'll ask, show, tell me what's going on on kind of like what are sales, what does usage look for the last month? And I'll get a pretty dashboard because we can think through time series graphs, we can think through ups and downs. And so, and then I see that there's a spike, but instead of double-clicking, I'm like, hey, there looks to be a spike here. Can you basically help me understand, you know, why that happened and go dig? And it gives me something else. So I think that that's natural. I think the hard part for the standalone BI tools was they historically really had no semantic understanding of the data, right? You did an extract of a data warehouse, they stood there, and when they tried to add talk to data, it was mainly just let me convert text to SQL, which doesn't work. What you really need to know is if I ask it, how do you interpret what I'm asking and connect it to what the data actually means? What's the best way to go ask it? And that's why BI tools that are connect— like in Databricks, we have these kind of business semantics that then all of the external BI tools can connect to. It makes it much more intelligent what you can visualize. And inside of Databricks, Genie, which you talked about, is integrated with the BI layer so you can ask questions. I think that's the where the world is most likely to go.
I guess it, it almost should disappear into dashboards and answers. Like we should have dashboards and answers. And BI is almost a term, it's almost just an input. Like I shouldn't have to even understand BI anymore. It should be just part of accessing Databricks or others for everyone. Every single person should get real-time visibility into every bit and byte in their organization.










