Career growth of CAD/PLM Users

According to Forbes article here, the world of work is undergoing a massive shift. Entire occupations and industries are expanding and contracting at an alarming pace, and the skills needed to keep up in almost any job are churning at a faster rate. Average human knowledge is doubling every 13 months, and IBM predicts that in the next couple of years, the volume of information will double every 11 hours. A survey last year by the Pew Research Center found that 87% of workers believe it will be essential for them to get training and develop new skills throughout their work life in order to keep up with changes in the workplace.

Against this backdrop, we’re witnessing the emergence of a new learning ecosystem that offers individuals at any stage of life more accessible, less expensive pathways to skills acquisition and higher wages. Much like we might jump on YouTube to learn how to cook a new recipe for dinner, we learn best in the moment when we need it.

Much like the invisible algorithms that recommend music on Spotify or movies on Netflix, recommendation engines are beginning to help workers navigate their careers and learning by exposing them to information on the pathways that people in similar roles travel to get to their current jobs as well as those they should be pursuing to get to the next level.

The willingness of not just Users, but employers, to embrace the shift toward renewable learning will impact our ability to address the most pressing challenges facing the workforce today – from skills gaps  to employee diversity to talent retention. Renewable learning is no longer a nice to have, but a need to have for employees and employers to succeed in today’s rapidly evolving world of work.

Punditas User Advisor is an AI platform  that automatically discovers and delivers personalized,curated Just-In-Time knowledge within the Enterprise Users context. It connects the dots between Enterprise Products,Content and Context to help Users get targeted Product training based on Users personal style and preferences. Our technology gathers, analyzes and understands vast amounts of human and computer generated content for Enterprise Products to deliver right information at the right time  on a daily basis.

Credits

Content Source: Forbes

Image source: pixabay

Author: Madhavi Ramesh

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