A major accomplishment has been announced by Shimmy Technologies, a leader in industrial education technology – the company has successfully trained 10,000 employees.
Utilising a state-of-the-art blended learning paradigm, Shimmy reimagines workforce development by fusing classical machine learning, artificial intelligence, and gamification. This optimises training time and costs to match the needs of today’s intricate supply chains and competitive market.
“This milestone underscores our team’s unwavering dedication and commitment to delivering top-notch training while efficiently scaling our operations,” remarked Sarah Krasley, CEO at Shimmy Technologies. “Our recent investments in the Shimmy platform empower us to reach more workers without compromising the quality of our training.”
Shimmy’s creative strategy produces outstanding outcomes. Over 50 per cent of trainees go on to more complicated machine tasks within their factories, and the majority of them get higher-level employment and fetch greater starting salaries. Significant progress has been made towards gender parity in the industry, as evidenced by the fact that 72 per cent of those undergoing advanced manufacturing training identify as women.
Shimmy’s training approach was recently validated by an independent efficiency study. The study demonstrates significant increases in worker motivation, decreased absenteeism, and improved factory productivity, demonstrating the financial benefit of Shimmy’s training.
Shimmy Technologies provides an update on upcoming projects that will increase outreach, speed, and scale. These programmes seek to strengthen supply chains in the face of severe volatility and provide new forms of assistance for workers.
Over the next two years, participating manufacturers’ automated machine counts are expected to rise by 13 per cent, based on Shimmy’s research. Manufacturers estimate that a single machine has the potential to replace one to six workers. Because just 20 per cent of factories said that they would want to close the gender gap and promote female employees to operate the automated machinery, it is anticipated that this displacement will disproportionately affect female workers.
