Insight
What company today hasn’t launched its chatbot to communicate with its clients or optimized its internal processes thanks to RPA? Indeed, it’s hard to find ones that have not yet put in place an Artificial Intelligence solution in the hopes of improving their operational performances or benefit from formidable growth.
But does Artificial Intelligence really keeps its promise?
If enthusiasm for these technologies—once confidential —is now obvious, it’s above all thanks to the recent boom in data in terms of volume, diversity and accessibility. The extensive growth of online and social network giants (Google, Facebook, Linkedin or Twitter), the democratization of mobility, the proliferation of channels and the emergence of connected devices have all contributed to this phenomenon and participated in the construction of an ecosystem built around Artificial Intelligence. However, at the end of a first decade of experimentation, the number of AI initiatives launched by businesses has been met with only moderate success. This success is strongly linked to the organization’s ability to clearly define an AI application’s most relevant uses to create customer satisfaction and contribute to productivity, while respecting the constraints imposed by the General Data Protection Regulation.
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