Stephanie Newby: My vision here is that we can end up with more and more companies in the world that have customers who really love them and are passionate about them. So much so that you can eliminate the hate in marketing and advertising. The reason that I think that this is even possible is
Sramana Mitra: How does your technology correlate these products? Is this where your ability to do image analysis kicks in? Stephanie Newby: Image analytics is still a little young. Most of the image analytics that’s currently being used in the platform is logo recognition. If you were in Starbucks and you took a photograph of
Sramana Mitra: I’m particularly interested in understanding the predictive part of it. Let’s understand how you predict stuff based on a use case. Stephanie Newby: The best way to think of that is to start tracking things and look for correlation between things. Then test them out. Start with some hypothesis, test that out and
Sramana Mitra: Let’s take a few different use cases and segments and understand how people are using your technology. You started about the movie and entertainment industry. You can pick a customer and talk about how, where, and how this is being used. Stephanie Newby: I’m actually now sure which customers I can discuss from
Image and video analytics are at the frontier of mobile and social interactions currently. Read on to understand the use cases and open problems. Sramana Mitra: Let’s start by introducing our audience to yourself as well as to Crimson Hexagon. Stephanie Newby: I’m the CEO of Crimson Hexagon. We are a big data, social media