The AI Landscape in Canadian Businesses
In 2023, a significant shift was observed in the Canadian business sector, with a notable increase in adopting Artificial Intelligence (AI) technologies. Approximately 37% of large Canadian companies, those with over a thousand employees, have actively integrated AI into their business operations. This marks a considerable rise from 34% in April 2023 to 37% by November. In contrast, the global rate of AI adoption remained relatively stable at 42%.
This surge in AI utilization in Canada underscores a broader, transformative trend in the corporate world. Deb Pimentel, General Manager Technology at IBM Canada, highlights this evolution. She notes the robust AI ecosystem in Canada, buoyed by investments and a talent pool that spans the nation. Canadian companies are not just embracing AI but are also seeking to redefine their industries through its application.
Investing in AI and Overcoming Challenges
While the momentum is positive, challenges persist. The most significant barrier is the AI skills gap, with 41% of organizations citing it as a primary obstacle. Other hurdles include the complexity of managing large data sets (24%) and the high costs associated with AI implementation (24%).
Despite these challenges, Canadian companies actively invest in AI, focusing on reskilling their workforce (42%) and enhancing research and development (41%). For instance, Bell, under the leadership of Osama Abu-Shihab, VP of Business Technology Services, is utilizing AI to transform its customer experience and boost productivity. A key part of their strategy is equipping team members with the skills to leverage AI tools effectively.
The Road to Trustworthy AI
A growing focus among Canadian IT professionals is the importance of trust, transparency, and explainability in AI applications. A substantial 82% agree that consumers prefer services from companies with transparent and ethical AI practices. Furthermore, 71% of companies exploring or deploying AI consider explaining AI decision-making processes as crucial to their business.
However, as AI becomes more entrenched in business operations, many companies still face multiple challenges in adopting trustworthy AI. Issues like reducing bias, tracking data provenance, and safeguarding data privacy remain critical areas needing attention.