How prepared are companies and countries for the AI ​​revolution?

This article was originally published English

At the Viva Tech show in Paris, hundreds of speakers are presenting their views on the disruption caused by artificial intelligence (AI). Tech experts explain to 'Euronews Next’ how Europeans can avoid being left behind.


as Generative Artificial Intelligence (GenAI)The impact of this technology is more tangible than ever, but One of the key challenges is training sufficient numbers of people in the new skills needed for the AI ​​revolution.As technical experts explained to 'Euronews Next’.

„We don’t see AI replacing humans, but AI can replace non-humans,” said Lisa Heneghan, KPMG’s global chief digital officer.

Heneghan was speaking during a session on „Upskilling/Reskilling: Future-Proofing Your Career in the Age of AI” at the VivaTech show in Paris this week.

„One thing is certain: companies need to start now. That’s why we help them find a framework,” he said. KPMG, one of the world’s largest audit and consulting firms, hopes to be at the forefront of helping businesses adopt AI. says the group It has trained more than 85,000 employees to learn and use this technology.

„About 12 months ago, we started making very significant investments, several billion dollars specifically working with Microsoft, and those investments were around AI,” he added.

Is Europe ready for AI?

Like companies, Countries are also gearing up for the AI ​​revolution.

France made a series of announcements this week ahead of VivaTech aimed at boosting French and European AI. On behalf of VivaTech, Chairman Emmanuel Macron The French AI elite was welcomed at the Elysée Palace and It announced plans to make Paris the „AI capital” and host an international summit in 2025.

READ  All WhatsApp messages coming in the coming months

Among the guests were representatives of French technology companies such as Mistral AI and Scaleway, a French cloud provider with ambitions to become a European hyperscaler capable of competing with Google or Tencent.

To start the AI ​​revolution, Europe needs a lot of hardware and capacitysaid Jean-Baptiste Kemp, the French computer scientist behind the VLC video application, who is now helping Scaleway grow.

„A lot of companies here use American clouds, and that raises important questions about sovereignty. You have to be naive enough to not leak data. In my opinion, Europeans are too naive,” says Kemp.

However, Kemp believes that „Europe still has a say in this technological revolution”.

France has increasingly changed, according to Adrien Chaltiel, co-founder of innovation funding platform Eldorado. Very competitive in AI And investment has returned to high levels. “Everyone is talented and there are founders who have found very high-tech challenges right now,” he says.

„To compete with the US, we need the same level of technology and funding. We’ve been able to send some talent back, but we still need leading companies to maintain salaries. Geopolitical aspect In all of this, that’s why Macron is involved,” Saltiel added.

Many world-class French computer scientists have moved to the United States to devote themselves to research. Very popular Yan Lu Gun, Meta’s Chief AI Scientist. This year he returned to VivaTech.

„America’s strength is its ecosystem. In San Francisco there are events every night. Everyone gives their solution in five minutes, we eat three pizzas and start talking,” explains Florian Barbaro, who has worked on AI in the US. A company offering innovative solutions before returning to France to build his company UncovAI in Nice AI-generated content discovery And fight misinformation.

READ  Stanley Kubrick, Steven Spielberg, and other directors who tortured their protagonists

„Some states are leading the way in using generating models. In Ukraine, Russia uses videos generated by Synthesia, and we do very little to counter it,” says the young businessman. Barbaro explained Data analytics generated by AI This is also a big challenge for the AI ​​ecosystem.

„Tomorrow, if a company wants to pull data from the Internet to update its model, it runs the risk of doing so on generated data, introducing bias and reducing accuracy,” Barbaro said.

Dodaj komentarz

Twój adres e-mail nie zostanie opublikowany. Wymagane pola są oznaczone *