Businesses are hiring AI specialists instead of data engineers - and its a big problem

• AI can't exist without data – so why is the US hiring more AI specialists than data engineers?
• Less tech-mature regions are likely the worst culprits, jumping on the hype
• AI workers are being rewarded more than data engineers

More than four in five AI projects fail, according to RAND research - which is around double the rate of non-AI tech projects, and new US employment data could reveal the reason behind this.

According to DoubleTrack, the root cause isn't AI per se, but rather the data it relies on. The main reason AI fails is thanks to poor, inaccessible, or ungoverned data - not weak models. In fact, nearly two in three (63%) organizations lack confidence in their data management for AI.

And to date, hiring trends suggests that many enterprises are yet to understand this, leading them to potential failure down the road ...