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technological changes in a business might impact staff and stakeholders in the short term is crucial ,” Cottis continues . “ Manufacturers are , for example , likely to see a surge in AI and ML use as they push for further automation , productivity , efficiency and quality improvements .”
These changes can often be costly and overwhelming initially , requiring accelerated digital transformation processes . Cottis believes that staff also need to be trained and onboarded to any new technology , to avoid contributing to the ever-widening skills gap in the industry . Furthermore , as customer demands continue to evolve , manufacturers need to be able to face the next generation of buyers , who are more socially savvy and digital-first .
“ In an industry where many organisations are relying on legacy systems and siloed organisational structures , a workforce transformation , through training and upskilling , may be required to meet customer needs and interests ,” he says .
Intelligent change management and AI innovation Cottis is clear that companies meet modern challenges through intelligent change management to protect themselves against disruption in the long term .
96 April 2024