- 37% of IT professionals in large companies in
Canada report having actively deployed AI in their business - The AI skills gaps (41%) remains a top barrier to adoption, followed by too much data complexity (24%) and high costs (24%)
- A growing emphasis on trust, transparency and explainability of AI
"2023 was a transformative year for AI adoption in
Reskilling and workforce development (42%) and research and development (41%) were cited as the top AI investments at Canadian organizations exploring or deploying AI.
"AI is essential to Bell's transformation to a technology services and digital media leader. This technology has enormous potential for Bell in a number of areas, significantly improving customer experience and enhancing productivity. Equipping our team members with the necessary skills to use AI tools effectively while establishing a solid foundation of responsible policies and practices is critical as we continue to further adopt AI in our business," said
Key Canadian Highlights from "Global AI Adoption Index 2023," conducted by Morning Consult on behalf of
- AI adoption is growing in
Canada : While AI adoption has remained steady at large organizations globally (42%), there has been an increase in AI deployment at large organization inCanada from 34% in April to 37% inNovember 2023 . An additional 48% Canadian companies are still exploring using AI. - Top three drivers of AI adoption: Advances in AI tools that make them more accessible (46%), the need to reduce costs and automate key processes (46%), and the increasing amount of AI embedded into standard off the shelf business applications (34%) are the top factors driving AI adoption.
- Top three barriers to AI adoption: The top barriers hindering successful AI adoption at enterprises both exploring or deploying AI are limited AI skills and expertise (41%), too much data complexity (24%), high costs (24%), not having the ability to properly govern AI models (21%), ethical concerns (20%), and AI projects that are too difficult to integrate and scale (20%).
- AI investments in
Canada are least likely to accelerate, despite increase in adoption: top areas of AI investment inCanada reported were reskilling and workforce development (42%) and research and development (41%). - AI is already having an impact on the workforce: Around one-in-five (21%) organizations do not have employees with the right skills in place to use new AI or automation tools and 17% cannot find new hires with the skills to address that gap. Only 25% are currently training or reskilling employees to work together with new automation and AI tools.
- A growing emphasis on trust, transparency and explainability of AI – Canadian IT professionals are largely in agreement that consumers are more likely to choose services from companies with transparent and ethical AI practices (82% strongly or somewhat agree) and say being able to explain how their AI reached a decision is important to their business (71% among companies that are exploring or deploying AI).
- But, with many companies already deploying or exploring AI facing multiple barriers in the process, well under half are taking key steps towards trustworthy AI like reducing bias (26%), tracking data provenance (29%), monitoring AI across cloud and AI environments (39%), or safeguarding data privacy through the entire lifecycle (42%).
Methodology:
This survey was conducted in
About
Media Contact:
Ruhee Dhar
ruhee@ibm.com
SOURCE
© Canada Newswire, source