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Canadian Tire 
Retail / Retail and Automotive Services
At a Glance | Core Facts | Company | Industry | Competitors | Stock Swings | News | Income | Balance | Cash Flow | Growth | Enterprise | Ratios | Metrics | Dividends | Risks | SWOT | Porter's Five Forces | PEST | Score Positive | Clusters | Reports | Web1. Potential Issues With Data Privacy and Security: Investing in artificial intelligence and machine learning technology can come with risks related to data privacy and security, since the technology requires an extensive amount of personal data. Canadian Tire must ensure that it has sufficient measures in place to protect customer data from any potential security threats.
2. Challenges With Adoption: Canadian Tire also faces the challenge of effectively introducing new artificial intelligence and machine learning technology into existing systems. This could be especially difficult if the new technology is not compatible with existing systems or has not been tested thoroughly for any potential bugs or issues.
3. Cost Issues: Investing in new technology may also come with significant upfront costs. Canadian Tire must ensure that the technology delivers significant ROI in a timely manner in order to maximize its long-term profitability.
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