Is AI the new UX? | Enterprise applied AI in Customer Experience (CX)

May 15, 2018 · Chicago, United States of America

How do you utilize AI to best serve your customers? Will AI be your future brand ambassador? What are AI's use cases for product development and customer feedback? How can it best support all facets of your marketing, sales and service? Hear nationally recognized AI leader, Paul Blase, present the inside story of applied AI within a consumer electronics brand. Get involved in building an AI CX app. Gavin Lew, who built one of the largest UX consultancies, and is currently writing a book on AI and UX will speak about the evolution of AI within UX / CX.

REGISTER TODAY : FREE admission through April 30th. $10 per ticket thereafter.

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This is an AI DAYS (http://www.chicagoaidays.com) preview event. Speciate AI (http://www.speicateai.com) and Destination AI ( http://www.destination.ai ) will give you a taste of the programming in store for the AI + CX track, presented by Speciate, at the fall event.

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AGENDA:

5:00PM - 5:30PM Networking

5:30PM - 7:15PM Program

A) The evolution of digital customer experiences; UX to CX via AI
B) AI CX app beta test opportunity: get involved in building local AI success!
C) Enterprise Applied AI Case Study
Key business case perspectives explored

7:15 – 8:00PM Networking

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FEATURED SPEAKERS

Paul Blase (https://www.linkedin.com/in/paulblase/)- Co-founder of Speciate AI, (http://www.speciateai.com) a spin-out from Tronc.

Formerly Paul was the managing partner of tronc’s AI and data solutions division responsible for building a portfolio of businesses and products that monetize data. Prior to that Paul was PwC’s U.S. and global analytics advisory leader responsible for capturing the market opportunity associated with helping it’s clients use advanced analytics and data techniques and technologies to improve the performance of their businesses across. During his time at PwC, Paul designed and launched PwC’s U.S. and global analytics and data operating model and managed investments across a team of nearly 1,700 practitioners with deep skill sets in data and analytics. Paul led the creation of a portfolio of analytic apps and launch of PwC’s global Analytic Apps Marketplace to provide analytics solutions to its clients. Prior to being acquired by PwC, Paul was a Managing Partner at Diamond Management & Technology Consultants where his responsibilities included leading its cross-industry Service Lines, insurance practice and enterprise practice. Paul’s speaking and publications forums include the Chicago Council of Global Affairs, Palo Alto Venture Forum, Oracle Openworld, Wall Street Journal, Financial Times, Bloomberg, World Economic Forum, Corinium CAO Forum, AI World, and Forbes. Paul holds an M.B.A from M.I.T. Sloan School of Management with a focus on new product & venture development and a B.A. double major in Economics and Mathematical Methods in the Social Sciences Honors Program.

Gavin Lew (https://www.linkedin.com/in/gavinlew/) is currently Managing Director of Bold Insight (http://boldinsight.com/), part of a global UX consulting practice.

Gavin has 25 years of experience in corporate and academic environments. He founded User Centric and grew it to be the largest private UX consultancy in the US. After selling the company, he continued to lead a North American UX team to become one of the most profitable business units of the parent organization. He is a frequent presenter at national and international conferences and the inventor of several patents. Gavin is currently co-authoring a book on artificial intelligence (AI) and UX. He is an adjunct professor at DePaul and Northwestern Universities. Gavin spent seven years in the doctoral program at Loyola University but departed ABD (all but dissertation)> He has an Masters in Experimental Psychology from Loyola University.

MORE PROGRAM INFORMATION

Join us to explore the use of Artificial Intelligence in customer experience and discuss ways AI is bridging the gap between customers and product teams. Companies are already altering the way they interact with the marketplace throughout the customer life cycle using increasingly diverse and data. As this space continues to evolve, we are seeing more and more companies incorporating novel approaches to interact with their customers to inform future product and brand decisions. Implications for Market Research , Product Development, Distribution, Service, Marketing, Sales & Support Channels

THE EVOLUTION OF UX AND ITS FUTURE WITH AI

Human Factors to Usability to UX to CX to Brand Experience.
System , product and ecosystem UX development
AI enhanced UX and industry applications
UX enabled AI implications

AI APPLICATION DEVELOPMENT | BECOME A BETA TESTER

We would like to involve willing participants in a beta study of an emerging CX app. Please help us build a stronger AI community; one application at a time!

ENTERPRISE APPLIED AI CASE STUDY

This presentation will include a case study of unstructured data analysis for a wireless speaker manufacturer built upon customer data gathered from Amazon, Best Buy and Instagram as well as Speciate AI’s proprietary video data collected from wireless speaker enthusiasts. Speciate AI’s CEO, Paul Blase, will present a deep dive into the analysis performed as well as the results of the study. He will also talk about the future applications of this type of research and additional applications of similar techniques in bridging the gap between customers and companies/brands.

This case study will dig into areas that are important to enterprise executives such as : External considerations, internal champions, needs analysis, employee sentiment, leader clarity. implementation, project and ROI

Event organizers
  • Applied Artificial Intelligence Chicago

    Welcome to the Chicago Applied Artificial Intelligence a meeting place where executives of leading Chicagoland, and greater Midwest, organizations come together to undertake the challenges of transitioning to an increasingly AI driven world. Our mission is to provide a platform to support more expedient, yet prudent enterprise AI adoption. Moreover we want to work to together to identify and acquire the talent, tools, knowledge and training necessary to accelerate and maximize the results of such adoption.

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