INDUSTRY 4.0

of respondents indicated that AI has increased their interest in adopting digital twin technology

are using AI to process front-end data

are leveraging AI to enhance user experience

Scaling AI also requires a robust IT infrastructure capable of supporting high-speed networks , cloud computing and advanced data storage solutions . These components are critical for processing large volumes of industrial data in real time . However , the complexity of building such infrastructure , combined with a lack of internal expertise in digital transformation , can hinder progress .

Finally , there is the issue of model adaptability . AI models , often developed for specific assets or processes , do not always generalise well to other areas of operation . This necessitates costly retraining or customisation for new use cases , slowing adoption and increasing costs .