A new study identifies the 3 roadblocks to successfully implementing AI in your business.
Businesses are embracing AI tools despite a lack of trust.
Governance, skills, and data infrastructure determine trust.
This misalignment could be hindering ROI on AI initiatives.
It’s no secret by now that many businesses are struggling to achieve tangible ROI from their AI initiatives. A recent study from MIT, in fact, found that as many as 95% of enterprise use cases of the technology have been essentially completely fruitless.
Why the huge rate of failure?
According to a new study conducted by data analytics company SAS and the International Data Corporation (IDC), one of the causal factors is a widespread lack of trust among businesses in the very AI tools they’re deploying internally. This, coupled with the intrinsic untrustworthiness of the systems themselves, is the primary barrier preventing ROI, according to the study.Why it matters
At first glance, that might seem obvious: Of course, if you don’t have much faith in a technology, and if it’s inherently unreliable, you’re not going to incorporate it too deeply into your business.
But businesses have been adopting AI, and on a massive scale: Well over half (65%) of respondents to the SAS-IDC survey said their organizations are currently using AI in some capacity, while an additional 32% said they have plans to begin doing so within the next year. In June, Gartner predicted that up to half of all internal business decision-making processes could be fully automated or at least partially augmented by AI agents.
The biggest surprise of the new SAS study is that this widespread commercial adoption is taking place even though those same businesses don’t seem to have a whole lot of trust in the technology.
