Are you planning to deploy AI tools in your organization to drive up value for your customers, but not sure where to begin?

The Conference Board of Canada’s design thinking workshop on creating value through AI adoption can help. You’ll learn about tools and methods to help you identify existing corporate data assets, create return-on-investment scenarios, analyze the impacts of AI tools on your stakeholders, and make appropriate decisions.

This online workshop is scheduled for Tuesdays and Thursdays from March 2 to 18, 2021. Ramy Nassar will lead you through a program based on interactive workshops he has delivered at some of the largest global companies.

During this workshop you will:

  • Learn to define AI value propositions for your organization.
  • Develop design thinking skills for products, services, and platforms.
  • Discover how to use AI to meet organizational and customer challenges.
  • Apply interdisciplinary approaches to develop new AI solutions.
  • Learn to develop a case for buy-in from senior leadership.
  • Identify implications and strategic issues.

Design thinking offers a repeatable, scalable methodology to ensure that products, services, and platforms create meaningful value for end users. This workshop introduces design thinking through the lens of AI and machine learning to teach frameworks, tools, and best practices for creating more impactful AI-driven solutions. Sessions will employ a balanced approach of presentations, discussions, and practical applications.

This workshop is broken into three distinct topics, each building on previous knowledge to help your team’s mindset evolve while empowering them with a range of tools and methods.

Who should attend?

  • Product leaders who want to better understand how AI can form part of a product roadmap and vision
  • IT executives looking to more effectively leverage data across the organization, transform how IT delivers value, and lead with business-driving AI solutions
  • Marketing and Sales leaders who want to leverage data-driven customer insights and improve their understanding of buyers and their respective journeys and persona segmentation
  • IT analysts and solution engineers who may be familiar with the technical aspects of AI, but want to learn to apply business and user context in building solutions
  • General executives seeking to understand the overall AI landscape, terminology, and context of applicable solutions

About the Facilitator

Ramy is the founder of 1000 Days Out and author of the upcoming AI Product Design Handbook. As the former Managing Director of Design & Strategy for Architech and Head of Innovation for Mattel, he has led diverse teams in the creation of disruptive new digital products, services, and platforms.

With a background in computer engineering and design thinking, Ramy has straddled technical, design, and business-oriented roles for clients that include Cadillac Fairview, Apple, Air Canada, Facebook, New Balance, Rogers and CIBC.

Ramy Nassar

Ramy Nassar
Managing Partner, 1000 Days Out

Ramy teaches design thinking at McMaster University and in the Master’s of Engineering, Innovation & Entrepreneurship program at Ryerson University. He is a regular speaker at international events including the World Usability Congress, IxDA, FITC, AI Everything, Machine Learning Exchange, AI Business Summit, and World Mobile Congress.

Agenda

This workshop is scheduled on Tuesdays and Thursdays from March 2 to 18, 2021, for a total of six sessions. Each session is three hours long, including a half-hour lunch break, and will take place from 1 p.m. to 4 p.m.

Please note: All agenda times are in Eastern Daylight Time. See what time that is for you.

March 2 (Week 1)

1:00 p.m.
Welcoming remarks and introduction
1:15 p.m.
Module 1: Setting the stage—AI Ecosystem
The program begins with an overview of AI and machine learning targeted at professionals charged with leveraging these technologies. Participants can expect to walk away with a comprehensive understanding of how AI and machine learning work and a wide range of use cases, including recommendation engines, experience personalization, predictive analytics, conversational/voice interfaces, and process automation.
2:15 p.m.
Lunch break
2:45 p.m.
Module 2: Organizational alignment to drive business value
Who is accountable for an organization’s AI strategy? Which organizational structures are best suited to drive this strategy? How should business leaders engage with AI teams to move their strategies forward? Our afternoon session will focus on these strategies to identify opportunities for AI and machine learning to deliver business value. We will hear case studies that explore various approaches.
4:00 p.m.
Adjourn

March 4 (Week 1)

1:00 p.m.
Welcome back and review of previous day
1:15 p.m.
Module 3: Design Thinking Methods and Outcomes
This module of the workshop explores the fundamentals of design thinking, adapted to AI and machine learning. Participants will gain hands-on experience with unique methods and exercises that can be used to ensure that products and services meet the needs of end users and customers.
2:15 p.m.
Lunch break
2:45 p.m.
Module 4: Customer Value
In this module, we explore customer needs and how to identify opportunities for delivering value within products, services, and platform design.
4:00 p.m.
Adjourn

March 9 (Week 2)

1:00 p.m.
Welcome back and review of previous week
1:15 p.m.
Module 5: Sourcing opportunities for new products, services and platforms
We will explore ways to identify new product, service, and platform opportunities. How do you effectively transition from your existing catalogue of offers to linear and lateral strategies?
2:15 p.m.
Lunch break
2:45 p.m.
Module 6: TBD
In this module, we explore customer needs and ways to identify opportunities to deliver value within products, services, and platform design. We will discuss subjective and objective prioritization and roadmapping strategies like value-complexity, value-risk, and other methods.
4:00 p.m.
Adjourn

March 11 (Week 2)

1:00 p.m.
Welcome back and review of previous day
1:15 p.m.
Module 7: Defining a business case
In this hands-on session, team members will explore visualization and storytelling best practices for presenting a project business case for an AI or machine-learning application to key stakeholders.
2:15 p.m.
Lunch break
2:45 p.m.
Module 8: Human in the loop
We will explore how to design with the end user in mind, including core concepts and tools that can be used to ensure human interaction informs algorithms and remains foundational to products, services, and platform design.
4:00 p.m.
Adjourn

March 16 (Week 3)

1:00 p.m.
Welcome back and review of previous week
1:15 p.m.
Module 9: Responsible AI fundamentals
This module will explore responsible AI fundamentals and present a structured approach to evaluate ethical considerations, from early prototype design to minimum viable product. Data bias, error state recovery, and the AI ethics canvas will all be covered.
2:15 p.m.
Lunch break
2:45 p.m.
Module 10: AI performance and assurance
Before rolling out prototypes and products, we encourage organizations to understand how to set up a business capability to report on AI performance and assurance. In this module, we will explore how to assess the effectiveness of your AI’s performance and of machine learning applications. We will also cover audit and assurance best practices.
4:00 p.m.
Adjourn

March 18 (Week 3)

1:00 p.m.
Welcome back and review of previous day
1:15 p.m.
Module 11: Prototyping and Customer Validation
This module will walk you through prototyping best practices. How do you move from a proof of concept to a minimum viable product? We’ll hear from some industry leaders about their journeys.
2:15 p.m.
Lunch break
2:45 p.m.
Module 12: Business validation
We will demonstrate how to report back to the business throughout AI and machine learning development, from prototype to minimum viable product, operationalized offer, and product lifecycle maturity.
4:00 p.m.
Adjourn

Questions? Contact:

Harry Sharma

Harry Sharma

Director
613-520-8561
sharma@conferenceboard.ca

Andréa Nadeau

Andréa Nadeau

Senior Network Manager
613-520-8521
nadeau@conferenceboard.ca

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Register

$995

$850

Early Bird Price
Until December 18, 2020

Location

Virtual event