Companies want employees to help build AI tools they expect them to use. That comes with 2 big challenges.
Walmart is integrating AI tools into its operations, encouraging employees to help refine the technology to improve efficiency. While some workers report that the tools can create extra work or fail to account for real-world complexities, others have successfully developed their own AI-driven solutions.
Why it matters
The case study illustrates the practical challenges and potential benefits of bottom-up AI implementation in large-scale retail environments.
A Walmart store in Martinez, California Bloomberg/Getty Images This post originally appeared in the Business Insider Today newsletter. You can sign up for Business Insider's daily newsletter here . AI is meant to help workers do their jobs. Some Walmart employees say they're the ones providing assistance in the relationship. Walmart's massive bet on AI includes equipping in-store workers with a suite of tools to make them more efficient. But in some cases, workers are finding themselves frequently correcting mistakes and training the tech, writes BI's Dominick Reuter . As the largest US private-sector employer, it's a great example of the challenges that can arise when trying to effectively get AI tools used by your staff at a massive scale. Workers told Dominick the tools don't factor in complications that could arise from a simple assignment. Restocking an aisle involves more than putting merchandise on a shelf.
Get smarter about the news
Sign up free for a feed built around what you actually care about, Dive Deeper research on any story, and the full text of every article.
Create free accountAlready have an account? Sign in