Sramana Mitra: I’m a little bit confused. You started off saying that the focus of the company was on customer experience. Now you’re talking about employee experience. Christopher Connolly: We have multiple different stacks within Genesys. We’ve got 110 different products. They’re summarized into 11 different solution areas. We’ve categorized them into three top-line items.
Chris discusses how rule-based systems are moving to learning-based systems in various enterprise use cases. Sramana Mitra: Let’s start by having you introduce yourself and Genesys and what work you’re doing around artificial intelligence. Christopher Connolly: I am the Vice President of our Solutions Strategy Group. Genesys is the number one customer experience platform. It
Sramana Mitra: This is really interesting. What trends do you see in the universe that you are playing in? What are the emerging trends? What kind of adoption are you seeing in customers of these kinds of techniques? Doug Randall: I spoke to some of the trends on Big Data. There is an increasing desire
Sramana Mitra: What are the use cases? Where are you applying those capabilities to? Doug Randall: There’re a couple of use cases. The big one that I like to think of is changing a narrative. Let me give you an example. We work with a very large foundation that is interested in having more underprivileged
Doug Randall: The first thing we do is we look for narrative richness. This is text that has high levels of emotion and that is not simply mundane and descriptive. Mundane and descriptive is, “I went to Starbucks yesterday.” Emotion is, “I like my green tea latte because it makes me feel good.” We then
This is a fascinating window into how AI analyzes narratives to aid marketing and other functions. Read on for more! Sramana Mitra: Let’s get started. Why don’t we start with having you introduce yourself as well as Protagonist to our audience. Doug Randall: I’m the CEO and Founder of Protagonist. We’re a company that helps
Sramana Mitra: What are the adoption that you’re seeing amongst online retailers of using technologies like yours? Pavan Sondur: We’re seeing a paradigm shift in the entire e-commerce industry. We are moving away from one generation of search which is an IT infrastructure problem to an AI or machine learning model-based engine which ingests a
Sramana Mitra: Walk us through some use cases of what you are able to do. What kind of personalization are you able to achieve? Pavan Sondur: One is pure relevancy. When somebody is searching for a black leather jacket, we want an engine that can understand and tries to emulate an offline sales person. It