$650 – $850

Design Thinking for AI + Machine Learning - 2019 Toronto Workshop

Event Information

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Date and Time

Location

Location

Ridout & Maybee LLP

250 University Avenue

5th Floor

Toronto, Ontario M5H 3E5

Canada

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Refund Policy

Refund Policy

Refunds up to 30 days before event

Event description

Description

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.


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 ethicical or responsible AI frameworks will wrap up the day, to ensure that participants are equiped 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 ramy@1000daysout.com for more details.



Thank you to our Presenting Partner:


Agenda and Format


This workshop is modular, with the morning focused on fundamentals of AI, machine learning and related technologies. This offers product managers, UX designers, strategists, and marketing professionals an opportunity to learn how these technologies truly work, and how they can be leveraged with respect to specific use cases and applications.

For those who are deeply familiar and comfortable with the various technical aspects of machine learning, AI, etc. (hint: if your job title has the word data in it, this could be you), you may choose to do the half-day ticket option (Modular 2), arriving between 12:30-1:00. All participants are encouraged to join for the full day, if possible.

Modular 1:

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

Modular 2:

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 Drinks & Networking


Main Course Instructor: Ramy Nassar
Ramy is a facilitator, TEDx speaker, teacher and advocate for design thinking and effective digital strategy. He teaches in the FinTech program at the University of Toronto's Rotman MBA Program, Ryerson's Masters of Engineering, Innovation and Entrepreneurship and leads McMaster's post-graduate Design Thinking course.

He's worked with global brands such as Apple, Nike, Air Canada, Blackberry, RBC, SportCheck, Mattel, and Canadian Tire. Ramy is the author of an upcoming book on Design for Emerging Technology, set to be released in early 2020.

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: Should I attend both morning and afternoon?

Although it is not necessary to attend the morning session, it is encouraged as you will learn and add to your knowledge of core technologies and applications. In the previous workshop, many participants with strong technical backgrounds attended the morning and the feedback provided was that it gave them additional tools to help them explain the impact and inner workings of AI to their less technical peers.

Q: Will I receive a certificate?

Yes. You will receive a certificate from the Toronto Machine Learning Series, acknowledging your participation, and understanding of the subjects described.

Q: When does early-bird end?

Early-bird tickets end September 30, 2019.

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.

Have more questions? Great. Email Ramy at ramy@1000daysout.com
.
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Date and Time

Location

Ridout & Maybee LLP

250 University Avenue

5th Floor

Toronto, Ontario M5H 3E5

Canada

View Map

Refund Policy

Refunds up to 30 days before event

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