Jehan Wickramasuriya — AI in High-Stress Scenarios - Gradient Dissent  ## Metadata - Author: **Gradient Dissent** - Full Title: Jehan Wickramasuriya — AI in High-Stress Scenarios - Category: #podcasts - URL: https://share.snipd.com/episode/9550e5cc-b5d0-4f6a-9a47-ddd40f0858ed ## Highlights - Summary: On consumer side it's natural for us right. A lot of these verticals actually I got similar comments where they're like that seems like science fiction but if you think about consumer applications we are very used to doing that today as humans. In a lot of theseVerticals whether it's health care or public safety or enterprise security that's just not how they do things because the systems are just simply not sophisticated enough to be able to understand human intent and map human intent to structured data. Making it easier for users to get information out of systems is really the bottleneck today. Transcript: Speaker 2 Wow that's really cool it sounds almost like Star Trek or something. Speaker 1 But I think on consumer side it's natural for us right it's funny like a lot of these verticals actually I got similar comments where they're like that seems like science fiction but if you think about consumer applications we are very used to doing that today as humans but in a lot of these verticals whether it's health care or public safety or enterprise security that's just not how they do things because the systems are just simply not sophisticated enough to be able to understand human intent and map human intent to structured data. One of the big problems actually that we worked on initially was a lot of our knowledge base lies in relational databases. So then the question becomes how do I bridge what I'm seeing visually or what I'm expressing in natural language to structured data. I mean there's a ton of very interesting work now using transformer based models to be able to actually figure out from an indexing standpoint how do I actually query those structured data systems based on naturally what humans are saying and we think that's the future I think making it easier for users to get information out of systems is really the bottleneck today and many of the systems are too complex for users to actually figure out how if I have to think which search to use I've already lost valuable time and in our business losing valuable time means as you said at the start of the conversation is a huge problem. ([Time 0:38:02](https://share.snipd.com/snip/5956b591-555f-47df-add7-d8f4b0a33e2a))