There are many reasons why companies struggle to exploit generative AI, says Deloitte survey
Summary
Most companies are struggling to move their generative artificial intelligence (Gen AI) projects from initial stages into production, according to a report by consulting giant Deloitte. Also: Enterprises double their Gen AI deployment efforts, Bloomberg survey says The lack of progress in production contrasts with the flurry of activity around the technology. The reasons why companies struggle to scale Gen AI became clearer when Rowan and team asked the survey respondents to rate the capabilities where they believed their organizations were "highly prepared". Rowan and team suggested in the report that data quality hinders many companies: "Data-related issues have caused 55% of the organizations we surveyed to avoid certain Generative AI use cases." Also: 5 ways CIOs can manage the business demand for generative AI Uncertainty about novel regulations is also causing companies to pause and think, Rowan and team stated in the report: "Organizations were exceedingly uncertain about the regulatory environment that may exist in the future (depending on the countries they operate in)."