Canada is recognized as a global leader in artificial intelligence (AI) research and development. But we’re not performing as well in terms of our ability to translate those innovations into real-world applications that improve our SMEs’ performance and competitiveness. This Spotlight explores what policies, business strategies and industry-academia partnerships must be implemented to drive AI adoption among Canada’s SMEs since their individual success is crucial to our collective success in the future economy.
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Key Takeaways & Calls to Action
- Canada is a research and talent leader in the AI space. However, Canada must put greater emphasis on the commercialization and adoption of AI technologies, rather than focusing solely on R&D.
- Canadian government must do three things to support AI adoption: create certainty through specific AI regulations, split the funding mix to focus on AI implementations rather than solely on fundamental research, and lead by example by employing AI in more governmental operations.
- Collaboration with academia gives companies access to student and faculty talent – more importantly, it gives companies a cost-effective R&D base to begin their work in AI.
- Government and industry need to collaborate with Canadian academic institutions to further develop their AI research by creating avenues for AI students to participate in industry.