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AI Interactive Case Studies Forum
The Toronto Machine Learning Summit is in the process of organizing a niche (small size) AI Interactive Case Study Series, and we have a unique opportunity for presenting companies. Our event will take place downtown Toronto during the evening of July (TBA).

This could be a great opportunity for you to present a "case-study" and engage with very qualified practitioners (round-table discussion) at no cost.

Format: For each session, presenters will describe a “case”, similar to MBA Case Studies, that highlights one of the following (non-exhaustive):
1. A technical AI challenge
2. A data / infrastructure challenge
3. An ethical / regulatory issue
4. A business / strategy problem relating to AI

The cases can either be a problem that can't be solved by the presenting company, or one that's is in the process of being solved. For each problem, TMLS will be facilitating a curated audience of relevant experts (to facilitate roundtable discussions).

Do you have an interesting problem? Would you like to be considered as a Case-Presenter? If so, please complete this submission form.

What is the name of your organization? *
Your answer
What is your name/Role?
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Contact email for follow-up?
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What is your location, and your companies location?
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Presentation Title (Not mandatory)
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A brief (3-5 paragraph) description of the problem you are facing/hoping to solve.
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The theme your session falls under. Feel free to choose from the list below or suggest your own: *
Required
The profile of your desired attendees for the session; (please feel free to choose a subset of the options below; and feel free indicate "Not sure" or "Open to all" )
Attendee Profile (e.g., Academia, Industry Professionals) ?
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Industry (e.g., Financial Services / Retail) ?
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Company size (e.g., startup / incumbent)
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Job Function (e.g., Risk, Strategy, Data Science, Software Development, Designers)
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Any additional notes, comments?
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Thank you for your request to participate!
. Please keep in mind space in limited, and it may be upwards of a week before you receive a response.
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