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All (5)
All (5) ((5 results))
- Table: 33-10-0822-01Geography: Canada, Province or territoryFrequency: OccasionalDescription: Technologies the business or organization plans to adopt or incorporate over the next 12 months, by North American Industry Classification System (NAICS), business employment size, type of business, business activity and majority ownership, second quarter of 2024.Release date: 2024-05-27
- Table: 33-10-0823-01Geography: Canada, Province or territoryFrequency: OccasionalDescription: Challenges faced by business or organization when adopting or incorporating technologies, by North American Industry Classification System (NAICS), business employment size, type of business, business activity and majority ownership, second quarter of 2024.Release date: 2024-05-27
- Table: 33-10-0828-01Geography: Canada, Province or territoryFrequency: OccasionalDescription: New or significantly improved goods or services brought onto the market from 2020 to 2023, by North American Industry Classification System (NAICS), business employment size, type of business, business activity and majority ownership, second quarter of 2024.Release date: 2024-05-27
- Table: 33-10-0829-01Geography: Canada, Province or territoryFrequency: OccasionalDescription: Innovation of new products or services and most significant recent product innovation was new to its market, by North American Industry Classification System (NAICS), business employment size, type of business, business activity and majority ownership, second quarter of 2024.Release date: 2024-05-27
- Articles and reports: 11F0019M2020015Description:
Recent advances in artificial intelligence and machine-learning technologies have fuelled fears of potential job losses among some workers. While the net impact of new technology on total jobs can be negative, positive or neutral, some workers may be more affected than others depending on how easily robots and algorithms can replace them, or how easily their skills complement the new technology. In the case of women and men, it is not clear who is likely to be most affected. This study estimates the risk of job transformation as a result of automation technology faced by women and men.
Release date: 2020-09-24
Data (4)
Data (4) ((4 results))
- Table: 33-10-0822-01Geography: Canada, Province or territoryFrequency: OccasionalDescription: Technologies the business or organization plans to adopt or incorporate over the next 12 months, by North American Industry Classification System (NAICS), business employment size, type of business, business activity and majority ownership, second quarter of 2024.Release date: 2024-05-27
- Table: 33-10-0823-01Geography: Canada, Province or territoryFrequency: OccasionalDescription: Challenges faced by business or organization when adopting or incorporating technologies, by North American Industry Classification System (NAICS), business employment size, type of business, business activity and majority ownership, second quarter of 2024.Release date: 2024-05-27
- Table: 33-10-0828-01Geography: Canada, Province or territoryFrequency: OccasionalDescription: New or significantly improved goods or services brought onto the market from 2020 to 2023, by North American Industry Classification System (NAICS), business employment size, type of business, business activity and majority ownership, second quarter of 2024.Release date: 2024-05-27
- Table: 33-10-0829-01Geography: Canada, Province or territoryFrequency: OccasionalDescription: Innovation of new products or services and most significant recent product innovation was new to its market, by North American Industry Classification System (NAICS), business employment size, type of business, business activity and majority ownership, second quarter of 2024.Release date: 2024-05-27
Analysis (1)
Analysis (1) ((1 result))
- Articles and reports: 11F0019M2020015Description:
Recent advances in artificial intelligence and machine-learning technologies have fuelled fears of potential job losses among some workers. While the net impact of new technology on total jobs can be negative, positive or neutral, some workers may be more affected than others depending on how easily robots and algorithms can replace them, or how easily their skills complement the new technology. In the case of women and men, it is not clear who is likely to be most affected. This study estimates the risk of job transformation as a result of automation technology faced by women and men.
Release date: 2020-09-24
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