This workshop offers a deep dive into AI, machine learning, and other emerging technologies targeted at leaders responsible for creating disruptive new digital products & services. The program is intended for those with or without a strong background in machine learning, AI, and related technologies - no technical expertise is assumed.

Participants can expect to walk away with a comprehensive understanding of how AI and machine learning work as core technologies and a wide range of applications, including: recommendation engines, personalization, predictive analytics, conversational/voice interfaces, and process automation. 

Beyond just application areas, participants will learn a range of innovative tools, methodologies and frameworks that can be used to ensure that products & services meet the real needs of end-users and customers. User flow state design, confusion matrices and AI-focused ideation methods will all be introduced throughout the day. 

Target Participants: Product designers, UX designers, digital strategists, product managers/leads, marketing professionals.

Upcoming Public Workshops: This workshop will be hosted June 20, 2019 in Toronto, Canada. For more information please visit the workshop registration page.

This program is modular, with the morning session focused on individuals who do not have a strong background or foundation in AI, machine learning and related technologies. This offers product managers, UX designers, strategists, and marketing professionals to learn how these technologies truly work, and how they can be leveraged. 

  • 9:30 - Coffee, arrival, networking

  • 10:00 - Machine Learning 101

  • 11:00 - AI & Advanced Topics in Emerging Technology

  • 12:00 - Lunch

  • 1:00 - Human-Centred Machine Learning

  • 2:00 - AI Design Tools & Methods

  • 2:30 - Break

  • 2:45 - Personalization & Prediction

  • 3:30 - Conversational & Voice User Interfaces

  • 4:15 - Prototyping & Validation Methods

  • 4:30 - Wrap-Up & Discussion

  • 5:00 - Post-Workshop Drinks & Networking

Individuals who are deeply familiar with the technical side of the program (hint: if your job title has the word data in it, this is probably you) are welcome to arrive at 12:00 and join the rest of the group for lunch and the afternoon program.