The Waterloo Data & Artificial Intelligence Institute's (Waterloo.AI) partners range from large multinational companies to smaller scale-ups and startups and represent diverse sectors such as banking, insurance, grocery, e-commerce, manufacturing, automotive, and agriculture.


Sponsored 'Operational' (Applied) Research

As our core strength at Waterloo.AI is operational or applied research, we start by focusing on your business problems that have the potential to be solved by AI. We work closely with you to turn these high-level problems into specific research problem statements that are then circulated, along with your committed research budget, to our >200 researchers as a competitive call for proposals. Over 2-3 weeks, we will collect the proposals from each principal investigator (professor), each detailing the proposed research methodology, number of graduate students, timelines, budget and other ancillary items. We then work with key people in your company to review the proposals and select those projects that best suit your business objectives.

In addition to research funding, this type of research relies heavily on access to data and subject matter expertise related to a particular research problem. This will allow the research team to work closely with your company representatives to ensure the best outcomes for all parties.


AI Training and Continued Education

The rapidly evolving use of AI in all aspects of business has considerable implications for an organization's talent strategy, particularly in the area of upskilling.

Waterloo.AI's 'Reverse Co-op' short courses are an innovative twist on the University of Waterloo's long-standing success with our co-op program, where undergraduate students are placed in work terms with leading employers to learn how to apply their skills in real-world situations. With our Reverse Co-op courses in Artificial Intelligence, Waterloo.AI aims to provide practicing professionals with the opportunity to deepen their technical skills in AI through intensive short courses (3-4 days) with top instructors in the field; to do so in a practical way so they can bring those skills back to their companies and put them to immediate use. 

Our Reverse Co-op courses are offered twice/year and each of our partner companies will have 1-5 spots per course based on partnership level.


Networking with Peers and Waterloo.AI Researchers

Waterloo.AI also hosts an annual partners' meeting to discuss and promote the various research activities that are ongoing across our partners and researchers. This one-day event includes partner company representatives and researchers discussing specific projects and best practices as well as guest lecturers focusing on the latest research on current topics in AI that are of primary interest to our partner companies. It is also a great opportunity for our partner companies to network with their peers and Waterloo.AI's researchers.

Our annual partner's meeting occurs in the fall and each of our partner companies will have 1-8 spots for the meeting based on partnership level.


Access to Talent

In addition to upskilling their existing employees, many of our partner companies are also seeking out top talent for their evolving need for expertise in artificial intelligence technologies. We offer a number of ways for our partners to interact with our graduate students, from working shoulder to shoulder over the course of research projects to hosting private networking events.


Corporate Partners

Each partner will have their company logo on our website at their respective partnership level. We can also support you in additional company marketing efforts around your partnership with Waterloo.AI (joint press releases, promotional videos, press interviews, etc.).

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Intact Insurance Logo
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ATS Logo
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Friday, July 19, 2024 2:30 pm - 3:30 pm EDT (GMT -04:00)

Dr. Arka Roy on Uncertainty Management in Radiotherapy via AI & Optimization

Join Dr. Arka Roy to discuss "Uncertainty Management in Radiotherapy via AI & Optimization". This seminar will lead a thought-provoking conversation and will be taking place in E7 Faculty Hall on Friday, July 19th, starting from 2:30 pm EDT.