Critical industrial AI applications to support during and after the COVID-19 crisis
In the past several years, Advanced Artificial Intelligence (AI) has not only moved to the top of the agenda for businesses but also for policymakers, academic and research institutions, and the broader public. AI techniques are expected to bring numerous benefits in the form of added value for citizens, higher productivity, improved corporate performance, and economic growth. At the same time, AI has the potential to disrupt existing business models, possibly displacing successful ones and impacting the way people live and work.
To keep up with the evolution of AI and realise the competitive advantages it can provide, companies need to invest in technology and innovation. It is to this effect that EASME has published a study on 'Critical industrial applications: report on market analysis of prioritised value chains, the most critical AI applications and the conditions for AI rollout', concerning three strategic value chains (Future Mobility, Smart Health, Industry IoT) and 21 critical AI applications. The study addresses the particular topic of interest in the context of supply or value chain disruptions which was triggered by the COVID-19 outbreak.
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