The Deskless Workforce Needs A.I.

Nov 18, 2019 8:45:00 AM / by Tanya Alvarado

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Society is integrating with A.I. more and more every day but many people don’t realize this. Alexa and Siri use voice recognition to find your favorite song, your navigation app is constantly learning faster and easier ways to get you home, and the customer service rep you’re chatting with online is probably a bot. Artificial Intelligence isn’t reserved for tech giants working in front of a computer all day long. Even industries that may not traditionally be seen as modern or cutting edge are using A.I. and machine learning technology.

At the beginning of the 21st century, factory relocation and robotization relegated the deskless workforce to a supporting role. This is reflected in how companies allocate software investments.  This September, Emergence Capital estimated that a mere 1% of total enterprise software investments support deskless workers. 

 

However, deskless workers make up 80% of the total workforce. These workers don’t usually sit at a desk, in the traditional 9-5 sense. The top 8 deskless industries are agriculture, education, healthcare, retail, hospitality, manufacturing, transportation, and construction, which together employ 2.7B workers. Unfortunately, these workers are often neglected. APPrise found that only 56% of deskless workers feel connected and engaged by their employers and a shocking 27% said they feel underappreciated. 

 

You may not think that these industries would benefit from A.I. since they’re not in front of a computer all day. But they can and there is a push implement A.I. Emergence surveyed 100 IT buyers from these industries to understand their IT strategy and found that the tide is shifting and that their attention is being turned to deskless workers. They are trying to find new ways in which new technology can help them perform better in their jobs.

 

Here are some revolutionary ways A.I. is changing heavily deskless industries:    

  • Unlock insights previously hidden in vast amounts of unstructured data
  • Predictive maintenance and quality checks of machinery
  • Learning capabilities can spot potential problems and possible solutions
  • Supply chain demand- keeping delays to a minimum and real-time updates and requests 
  • Cloud-based integration to keep employees and departments in sync 

Topics: alignment, remote workers, AI

Tanya Alvarado

Written by Tanya Alvarado

Marketing Representative @InvolveSoft