June 12, 2018: Building Data Driven Customer Experiences
Building Data Driven Customer Experiences: With the success of advertising platforms like Google and Facebook, it has become extremely evident that consumers are responding positively to more personalized advertising experiences. In today’s day and age there is more information available to brands about their audiences than ever before. This session will illustrate how brands are using modern technologies like Machine Learning and A.I. to leverage this ocean of available consumer information, and how these strategies are leading to better experiences for customers along with increased revenue for brands.
Tuesday, June 12th, 2018 11:30 AM - 1:00 PM
Genuine Parts - 3100 Windy Hill Road SE, Atlanta, GA 30339
Chris Dehlic is Vice President of Sales for Netserv where he leads sales efforts for new and existing business. Netserv is a 17-year-old Product Engineering company that architects and develops software products and solutions. Netserv’s main area of expertise is BI/Analytics solutions. Chris has over 25 years of experience enabling companies to meet their technology goals with Resource Needs and Project Based Solutions. He is a graduate of Troy University, has been married for 14 years and has two children, an 8-year daughter and 5-year-old son. He should look familiar to most AECF members, after serving as the AECF Chair for 7+ years and in many local organizations including TechBridge, TechExecs, TAG and others.
Tim Canada is a thought leader in Product Management and Business Development at Netserv Applications, also serving as the lead product owner of Netserv's proprietary Tatvam product line. Tatvam is a Customer Feedback Analytics product that leverages technologies like Machine Learning and AI to help companies monitor and improve their customer experience. Tim manages the product backlog and development teams to ensure they are consistently innovating and delivering a true value-add product. He also works closely with Tatvam customers to help improve their data strategies and customer experiences.