Sramana Mitra: I think where they’re doing phenomenally well is in advertising targeting. Rich Green: Yes, is it because they’re just smarter or because they have a simpler problem to solve? Is it much more controllable? Sramana Mitra: I think you’re right. It’s a simpler problem to solve. It’s structured data versus unstructured data. A
Sramana Mitra: I’m going to switch back on that and say that in the CRM world, you will see very solid adoption and very quickly IF it works. Sales people are motivated by making money. If you can create algorithms and technology that will help them in making money faster and quicker, they will adopt your
Sramana Mitra: I happen to know enough about what you’re talking about. I know it’s not simple at all. Rich Green: Yes. In terms of practical near-term use, these kinds of technology are already under examination by a very large customer. That’s some examples of where we are now. Sramana Mitra: I’ve done a bunch
Sramana Mitra: Does that mean that you are bringing in their activities on LinkedIn, Facebook, and Twitter where they may be publicly doing something? Rich Green: Yes. You went through an array of names, but I can’t comment on them. That’s a very good example of the kind of data sources that we aggregate and structure
Rich Green: The history of enterprise applications is you enter information in the application and you get to analyze it by looking at it and reporting on it. That’s pretty much as sophisticated as it gets. In the consumer world, think about Google and how much information do you provide to Google versus how much you
There is a lot of buzz in the CRM space on how AI will augment the effectiveness of sales people. This interview is a comprehensive deep dive into the issues driving the problem, both promises and challenges. Sramana Mitra: Let’s start with introducing our audience to yourself and to SugarCRM, especially to what’s been happening in