The procure-to-pay space is going through huge technology adoption, and AI is making its mark on it as well. This interview explores the nuances of the sector. Sramana Mitra: Let’s start by having you introduce yourself as well as Transcepta to our audience. Shan Haq: I run Corporate Strategy and Development for Transcepta. My background
Sramana Mitra: Do you want to talk about the healthcare use case a bit? Gurjeet Singh: Similar to financial services, we build applications that solve problems end-to-end. The first application in healthcare that we sell to both healthcare payers and providers is the application that detects and hopes to mitigate the problem of clinical radiation.
Sramana Mitra: By rolling out your software in a risk operation that has such large numbers of manual labor, how many people can you replace with the software? Gurjeet Singh: At this point, the banks are not talking about replacing people. They’re worried about capturing risk. They are more interested in making sure that they
In the previous four segments of this series, we looked at what a singularity is and as part of evidence for the possibility of a technology singularity, we studied the frequency and impact of five scientific revolutions and cataloged the modern intersubjective realities (ISRs) that have co-evolved with the ever faster scientific revolutions and pushed
Sramana Mitra: How were customers finding you? Gurjeet Singh: Just through media. The launch in January was such a huge event. There was a lot of media and buzz around it. It felt like it was a pretty successful time, and it definitely gave us a false sense of complacency. What we realized was while
Sramana Mitra: So, grants and some consulting projects kept you going for a while. What happened next? Gurjeet Singh: Yes, those were very lean days. My co-founders had done well enough that they could easily live without a salary for a long time. I was the only one, as the immigrant, who had to be
This is a very interesting conversation about technology from Stanford being commercialized in financial services and healthcare, addressing very specific use cases in risk and other domains. Sramana Mitra: Let’s start by introducing our audience to yourself as well as to Ayasdi. Gurjeet Singh: I’m one of the co-founders and Chairman of the Board at
Sramana Mitra: What you want are people who know how to set up machine learning algorithms and how to diagnose the patterns and set them up with the heuristics so you can leverage the algorithms to come up with meaningful actionable insights. That knowledge doesn’t necessarily exist in the minds of the greatest domain experts.