Applied Artificial Intelligence in Marketing and Advertising

  • Date:

    September 12

  • Time:

    06:00 PM - 08:00 PM

  • Organizer:

    Applied Artificial Intelligence Chicago open_in_new


Applied Artificial Intelligence in Marketing and Advertising

Join us to explore how your enterprise can apply and or accelerate adoption of Artificial Intelligence (AI) and Machine Learning (ML). These sessions are a preview of Chicago AI Days 2018; the Midwest’s largest AI conference.  

************* Please note the DATE CHANGE: This event has been moved from August 22nd to September 13th. There were some unexpected venue and speaker complications. Our apologies for a late schedule change.*************** 
This event will focus on use cases within marketing and advertising services providers. It will speak to some of the primary challenges of AI adoption within the sector and the major long term consequences of wider adoption into the future. 

AI is poised to improve the efficacy and speed of marketing and advertising. Intelligent agents can increase the value of customer experience and behavior driven algorithms will further optimize it. AI is making inroads in multi device, even multi browser, data streams to enable truer personalization and omni-channel campaign performance improvements. AI may very well become the new UX. If true it means that unless your proficient with AI you will no longer be able to communicate effectively or customize a particular’s user’s experience as well as your competitors. 
Learn how marketing and advertising enterprises are implementing artificial intelligence (AI). Better understand your AI strategy and implementation options. Join us to hear how some of your peers, as well as leading practitioners are dealing with the advent of modern day AI 


6:00pm Networking, food and beverages

6:30 pm Introductions | Update on Enterprise AI marketplace

 6:45 pm AI in Marketing : Use Cases Overview

• External considerations: market shifts, performance, competition.

• Internal champions: roles , departments, arguments, typical conflicts.

• Needs analysis : pain points, data and IT infrastructure, problem definition , talent

• Management change: leadership, organization and role changes, employee sentiment.

• Implementation: outsource vs internal, critical paths, project planning practices.

7:15 pm Enterprise Case File -Applied AI in Marketing Experience

     Subset of topics above relative to a specific case study

7:45 pm Event Ends | Stay for additional networking

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