Research has found that one of the main hindrances of effective AI deployment within the industry, is the inability to demonstrate clear, effective data-strategies with specific results in mind. This course will allow you the unique opportunity to apply effective design thinking methodologies to applied AI and machine learning across a range of industries, to affect positive change within your organization and re-think the way data is being used.
Overview
This highly interactive and hands-on 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. An overview of ethical or responsible AI frameworks will wrap up the day, to ensure that participants are equipped with the skills to think about how data bias, training scenarios, and other factors can impact outcomes.
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.
* There is a block of Diversity and Inclusion scholarship tickets. Please inquire at
[email protected] for more details.
Program Overview
9:30 – Coffee, arrival, networking
10:00 – Machine Learning 101
10:30 – Use Cases & Applications Areas
11:00 – AI & Advanced Topics in Emerging Technology
12:00 – Lunch
1:00 – Design Thinking Fundamentals for AI & ML
2:00 – AI Design Tools & Methods
2:30 – Break
2:45 – Personalization & Prediction Engines
3:30 – Conversational & Voice User Interfaces
4:15 – Prototyping & Validation Methods
4:30 – Ethical & Responsible AI Frameworks
5:00 – Post-Workshop Reception & Networking
Course Instructor: Ramy Nassar
Ramy is a Canadian engineer, designer and maker. As the former Head of Innovation for Mattel and Managing Director of Design & Strategy for Architect, he has led teams in the creation of disruptive new digital products, services & platforms. Ramy leads a digital studio called 1000 Days Out that helps teams align emerging technology with the goals of the organization and desires of end-users.
With a background in computer engineering and Design Thinking, Ramy has straddled technical, design, and business-oriented roles, for clients including Cadillac Fairview, Apple, Air Canada, Facebook, New Balance, Rogers and CIBC.
Ramy is a regular speaker at international events including World Usability Congress, IxDA, Machine Learning Exchange, AI Business Summit and World Mobile Congress. Ramy teaches Design Thinking at McMaster University and in the Master’s of Engineering, Innovation & Entrepreneurship program at Ryerson.
FAQ’s
Q: Why should I attend?
Machine Learning and AI is fundamentally changing global industries, with applications such as recommendation engines, predictive analytics, conversational/voice interfaces, process automation and more. While technology-based companies are leading the charge in operationalized AI, companies of all sized are being forced to re-examine their data and create effective digital strategies.
Research has found that one of the main hindrances of effective AI deployment within industry, is the inability to demonstrate clear, effective data-strategies with specific results in mind. This course will allow you the unique opportunity to apply effective design thinking methodologies to applied AI and machine learning across a range of industries, to affect positive change within your organization and re-think the way data is being used.
Q: Is there any prerequisite technical knowledge I need to have?
No. The workshop will cater to participants of varying technical backgrounds. The first part of the day will serve as an introduction to core concepts, that will be built on in the afternoon portion.
Q: Will lunch be served?
Yes. Tickets include a catered lunch, as well as drinks and light snacks after the event is done, during the post-workshop social.
Q: Will I receive a certificate?
Yes. You will receive a certificate, acknowledging your participation, and understanding of the subjects described.
Q: Do you have any ticket deals?
Aside from our Early-bird, we do have deals for larger team purchases. As well, we’ve reserved a block of Diversity & Inclusion tickets. For question about how you can apply/reserve those, please message via contact email’s below.
Q: I’m still not sure if I should attend.
