Data For Marketing: What’s Next? Keynote & Cocktail with Jim Stern, Hosted by Napkyn Analytics
September 25, 2018 at 5:30 PM to 9:00 PM
|Location:||Orange Art Gallery|
290 City Centre Avenue
Ottawa, ON K1R 1C7
|Audience:||Anyone, Carleton Community|
What’s next in how the world’s leading marketers use data to compete?
Join us at Ottawa’s beautiful Orange Art Gallery for a catered reception and exclusive keynote with Jim Sterne, Digital Analytics Association Co-Founder and Board Chair Emeritus, and internationally celebrated speaker, consultant, and author on big data and analytics.
Hosted by Napkyn Analytics, and proudly sponsored by Google, Pythian, the Digital Analytics Association, Carleton University’s Institute for Data Science, and the Telfer School of Management this is a discussion on the future of advanced analytics, machine learning, big data, and artificial intelligence’s use in marketing that you don’t want to miss.
5:30-6:15pm – Cocktails, hors d’oeuvres, and networking (enjoy a selection of beverages, pulled pork tacos, jackfruit, hickory smoked brisket, St Albert cheeses, fine cured meats, and more from celebrated caterer Meatings Barbecue)
6:15-6:30pm – Opening presentation by Jim Cain, CEO, Napkyn Analytics – From Analytics To Customer Data Platforms: User-Centered Measurement Grows Up At The Enterprise
6:45-7:30pm – Keynote presentation by Jim Sterne – Intro To Artificial Intelligence For Marketing: What It’s Good At And What It’s Good For
7:30-9pm – Cocktails, hors d’oeuvres, and networking
Are you an analytics and marketing professional? Looking to break into the industry?
Marketers at today’s enterprises are using advanced digital analytics and other data-driven methods to inform and drive much of their decision making and capabilities – from brand and product promotion, through marketplace positioning and pricing optimization. Right now, user-centric data collection and analysis that is both cross-device and omni-channel is becoming a common practice among leading marketing teams, and the ability to drive personalized customer experiences is starting to move from blue sky to bottom line.
If you consider the rapid pace of evolution in the ways enterprises are using data, you don’t need to look far into the future to see what’s to come. Marketing teams continue to find new and innovative ways to use data to reach their customers, be more relevant in the moment, uncover new insights, and be more efficient in their investments, while the most sophisticated data analysis teams examine the potential of machine learning, artificial intelligence, and data science to leverage big data to gain a competitive edge.