In the next five years, every company is going to need an AI strategy.
— Tiff Macklem, dean of the Rotman School of Management at the University of Toronto
 
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FAQ

 

Q: What's the refund policy? 

Tickets are refundable up to 30 days before the event.

Q: Why should I attend the TMLS?

Developments are happening fast - it's important to stay on top.

For businesses leaders, you will have direct contact with the people that matter most; consultants and experts, potential new hires, and potential new clients. For data practitioners, you'll have an opportunity to fast-track your learning process with access to relevant use-cases, and top quality speakers and instructors that you'll make lasting connections with while building your network.

The event is casual and tickets are priced to remove all barriers to entry. Space, however, is limited. 

Q: Who will attend? 

The event will have two tracks: One for Business, one for Practitioners.  Business Executives, PhD researchers, Engineers and Practitioners ranging from Beginner to Advanced (multiple project experience). 

Q: Will you focus on any industries in particular?

Yes, we will have talks that cover Finance, Healthcare, Retail, Transportation and other key industries where applied ML has made an impact. 

Q: I'm not sure artificial intelligence can benefit my business. Is this still relevant? 

Yes, a large component of the business track will be dedicated towards understanding the potential of machine learning and ensuring ROI. You can describe to us your project or problems and we will connect you with researchers and council. There will be many people to assist, on site. No additional charges. 

Q: Can my company have a display? 

Yes, there will be spaces for company displays. You can inquire at info@torontomachinelearning.com.

Q: Will tickets include access to the after-party? 

Yes, attendees will have full access to both night's post event networking social. 

Q: Where and how can I register?

Visit here to reserve your spot. 

Q: Will you give out the attendee list? 

No, we do our best to ensure attendees are not inundated with messages, We allow attendees to stay in contact through our slack channel and follow-up monthly socials.

Q: Can I speak at the event?

Yes you can always submit abstracts here. They will be considered for our future events.

Presentation guidelines are available here.

*Content is non-commercial and speaking spots cannot be purchased. 

Q: What's the date, time? 

Tuesday November 20th, 9am-10pm (including after-party) and Wednesday November 21st, 9am- 5pm (Relocate to local pub afterwards). We will also have a separate Bonus day dedicated for workshops on the 19th.

Q: Where is the event taking place? 

The event will take place at the historic Carlu at College and Yonge Street, Downtown Toronto; 7th floor, 444 Yonge St, Toronto, ON M5B 2H4. 

Q: Do you have a hotel block or discounts?

We do not have hotel discounts. 

Q: Who can I speak with for questions? 

You can visit here for more information, or email info@torontomachinelearning.com and somebody will be in contact within 24 hours. 

 

TMLS Code of Conduct


See Past Timetable

 

Venue

The Carlu, 444 Yonge St, Toronto, ON M5B 2H4, Canada