How Companies Can Make The Right Shift To Artificial Intelligence:

How Companies Can Make The Right Shift To Artificial Intelligence:

"Those That Take Advantage Of AI Will Be Able To Meet The New Expectations Of Consumers"

A major technological revolution, artificial intelligence is shaking up our habits and our businesses. A tool that should not be idealized or demonized but tamed, according to experts.

Artificial intelligence (AI) is now an essential lever for companies. It's inevitable, we're going beyond the simple technological trend. What initially seemed like a half-fun, half-scary tool – particularly through conversational AI models – quickly disrupted operating methods, services, customer experiences, etc. With one question becoming more and more oppressive: will this technology, like Hollywood movies, replace humans? Many people are asking themselves this legitimate question and some companies are already answering it by offering "advice" on how to use this technology effectively. This is the case of Empathy Lab, born from the acquisition of the Belgian group Emakina by the American group EPAM in 2021. What do these two companies have in common? The ability to master sometimes complicated technological subjects and to implement them for their customers.

Native AI
Having become the first "native AI" communication agency, Empathy Lab helps its clients master technology, with a focus on experience and data control. Today, the objective is to integrate artificial intelligence in a relevant, pragmatic and responsible way. "The idea is not to add a layer of AI to what you were doing before, but to show what it makes possible," explains Nicolas Borgis, Managing Director and Digital Engagement Head Emakina and EPAM company. Behind this positioning, one observation: too many companies are interested in AI without understanding its real implications. "It's not a question of sprinkling AI into an existing offer to go faster than before, but rather of asking how I operate my business and that of my customers by integrating what is possible to do." Because tools to properly exploit data, implement efficient and really useful automations or anticipate needs, do exist.

Read the full article here. [article opens in French]