Robotic Process Automation, Computer Vision, Natural Language processing, Deep Learning … every year seems to come with a new area of Artificial Intelligence that must be implemented immediately and at any cost for companies wishing to remain competitive.
It is therefore becoming increasingly complex to understand this landscape and successfully prioritise which technology should be selected. Consequently, organisations are looking for efficient ways to adopt AI technologies in line with their increasingly complex business and regulatory requirements.
One feature all AI technologies have in common is that they are data-driven. Hence, one of the key success factors for organisations is to define and constantly adapt their data strategy. What are the main data challenges? How should organisations adapt their strategy to make the most of the new AI technologies?
Related Insights
Chadi Hantouche
Gwenaëlle Boulet
Claire Delgove
Julien Floch
Federico Chiarelli 
Simon Weber 
Federico Di Mauro 
Richard Hairsine
Austen Hancock
Sophie Storey