Nearly two-thirds of respondents cited trust and risk factors among their top challenges .
Interestingly , while overall trust in AI capabilities has grown in the wake of Gen AI ’ s emergence , fewer than half of respondents currently have rigorous processes in place to cultivate trust and measure user confidence levels . This represents a critical gap organisations will need to close as they scale production deployments .
However , worries around trust and risk are not slowing adoption among Gen AI experts . Organisations with high expertise are paying more attention to transparency with employees and focusing on quality input data , and ensuring reliable outputs .
The efficiency advantage For most organisations , improving workforce productivity and business process efficiency represent the primary motivations for adopting generative AI technologies . Deloitte ’ s research found that while many are realising these benefits to some degree already , the most advanced firms report achieving material efficiency gains and innovation boosts .
Almost three-quarters ( 70 %) of Gen AI experts say the technology has improved their products and services significantly . And nearly two-thirds have experienced a pronounced innovation spark from having human workers collaborate with AI to turbocharge ideation .
technologymagazine . com 121