Interested in AI? This post outlines the artificial intelligence (AI) and machine learning (ML) opportunity for Microsoft partners in Canada.

In March of 2017, the Canadian government announced a $125 million investment in artificial intelligence. The Pan-Canadian Artificial Intelligence Strategy (what a name!) strives to position Canada as a world leader in AI. These dollars will help attract and retain top academic talent and promote collaboration amongst AI teams.

“Technology is changing fast, and with it comes opportunity. By encouraging cutting-edge technology like AI while at the same time creating a culture of lifelong learning, we will be with Canadians every step of the way as they lead us into a future filled with possibility.” – Bill Morneau, Canadian Minister of Finance

AI’s arrived

The timely investment speaks to the transformative potential of AI as an economic driver, not just fodder for cool sci-fi blockbusters. In fact, a whole generation of Canadian startups already leverages AI and MI technologies with great success… and without enslaving humanity.

Cool Canadian AI stories

Born in the Microsoft Cloud, My Intelligent Machines (MIMs) strives to speed up the fight against breast cancer, heart disease, and leukemia by radically accelerating post-genomic research using AI and bioinformatics.

Manitoba-based Farmers Edge leverages Azure Machine Learning to help farmers improve crop yields, reduce waste, and improve the sustainability of millions of acres of farmland. They call it precision agriculture.

Based in downtown Vancouver and Silicon Valley, Mojio develops enterprise-grade connected car services for the global market. Their open platform leverages Azure services to deliver a secure and scalable car connection.

Yappn, the ecommerce translation platform, leverages Azure machine learning to engage consumers in up to 67 languages. This technology eliminates the language barrier, enabling people, brands, and organizations to interact.

Partnership approach

You don’t need to have data scientists or computer engineers in-house to create opportunities for machine learning projects. Instead of taking everything on, join forces with a fellow Microsoft partner specializing in advanced development. This peer-to-peer approach can work well, given the technical complexity of the work. Collaboration can also create new opportunities for partners to uncover new sources of revenue.

“At Microsoft, we are focused on empowering both people and organizations, by democratizing access to intelligence to help solve our most pressing challenges. To do this, we are infusing AI into everything we deliver across our computing platforms and experiences.” – Satya Nadella, Microsoft CEO

AI resources