Many AI deployments are getting stuck in the planning stages due to a lack of AI skills, governance issues, and insufficient resources, leading 61% of global businesses to scale back their AI investments, according to a study from the analytics and AI provider Qlik.
Philadelphia-based Qlik found a disconnect in the market where 88% of senior decision makers say they feel AI is absolutely essential or very important to achieving success. Despite that support, multiple factors are slowing down or totally blocking those AI projects: a lack of skills to develop AI [23%] or to roll out AI once it’s developed [22%], data governance challenges [23%], budget constraints [21%], and a lack of trusted data for AI to work with [21%].
The numbers come from a survey of 4,200 C-Suite executives and AI decision makers, revealing what is hindering AI progress globally and how to overcome these barriers.
Respondents also said that many stakeholders lack trust in AI technology generally, which holds those projects back. Over a third [37%] of AI decision makers say their senior managers lack trust in AI, 42% feel less senior employees don’t trust the technology., and a fifth [21%] believe their customers don’t trust AI either.
“Business leaders know the value of AI, but they face a multitude of barriers that prevent them from moving from proof of concept to value creating deployment of the technology,” James Fisher, Chief Strategy Officer at Qlik, said in a release. “The first step to creating an AI strategy is to identify a clear use case, with defined goals and measures of success, and use this to identify the skills, resources and data needed to support it at scale. In doing so you start to build trust and win management buy-in to help you succeed.”
