Upskilling vs Reskilling – what’s the difference and why it matters
While often used interchangeably, upskilling and reskilling serve very different purposes.
Upskilling enhances an employee’s existing skills to help them perform their current role more effectively, such as training a marketing executive in advanced data analytics.
Reskilling, on the other hand, equips employees with entirely new skills that help them transition into a different role within the company. An example of reskilling would be training a sales associate to work in digital marketing.
Although the two serve different purposes, both upskilling and reskilling are vitally important to any company. That’s because while upskilling helps teams stay efficient and innovative, reskilling ensures business continuity when roles evolve or become redundant due to automation or new technologies like Artificial Intelligence.
But the two play a particularly important role within SMEs.
To find out why, be sure to read our latest article!
SME4DD by numbers
31%
SMEs account for about 31% of the EU’s total annual turnover.
Quotable
This is what one participant had to say about our Scikit-learn, the Machine Learning Toolbox for SMEs course:
"A very good technical introduction to the ‘scikit-learn’ software libraries, which are ubiquitous in machine learning. The focus is on classic machine learning, but the usefulness of this library extends to deep learning or so-called artificial intelligence."
– Frédéric Wintzenrieth, Principal Ultrasound & Signal Processing Engineer, AUSTRAL Dx
