Mistral urges telecom companies to enter Hyperscaler

mistake CEO Arthur Mennch brought a sales stadium to the World Mobile Conference on Tuesday, urged delegates to the world’s largest communications in Barcelona to invest in building the infrastructure of the data center and “to become hyper” to strengthen the Ecological Agency regional regional system.

He said, during questions and answers on the stage in response to a question about whether Europe is going enough for the data centers.

The constitutive models are investing in building his data center in France, and Mench indicated that “he moves a little below the stack so that we can serve the data centers.”

He also said: “For me, the artificial intelligence revolution also brings opportunities to give the decentralization to the cloud,” he said, calling for “more actors in this field” compared to the current cloud market dominated by a group of excessive excessive giants: Amazon, Google and Microsoft.

Minsh also called on European players to reduce their dependence on American technology, through a local purchase wherever possible-with emphasis on the need for “pragmatism” because he said that there are no non-American alternatives to some of the infrastructure of the main technology.

When asked if European lawmakers should be inspired by the Trump administration when it comes to cutting the list, Minche has escaped the opportunity to conduct a full front attack on bases such as the AI ​​law. Instead, he suggested that the largest headache of companies deals with turning through the 27 member states in the unified European Union market.

“We are not very concerned about the list as a start,” he said. “The only thing that, I think, is difficult in Europe is to divide the market.”

Mensch continued audio support for unification in the communication space. “The unification of the largest players of technology can be one of the assets,” he suggested to industry delegates – saying that a number of telecommunications companies for each market in the European Union would reduce the number of discussions that partnerships need with the telecommunications companies.

What is the work that AI Startup is heading to reach the telecommunications sector? Minsh said that artificial intelligence will have many of the effects of network operators because the infrastructure will need to change to accommodate the “custom” data flows that will enable it to be increasingly artificial intelligence, as telecom companies are working on the network promotions in the frame.

He also suggested that there are opportunities to create “distribution partnerships” with the industry on the side of the consumer product of artificial intelligence in order to “make sure that everyone has access to strong AI systems.”

In France, Mistal has already signed a distribution agreement with Free for Le Chat, AI’s assistant. Free subscribers can access the Le Chat Pro without any cost for one year, after which they will pay regular monthly subscription fees. It should be noted that ILIAD is owned by free, a telecommunications company controlled by French billionaire as Zavier Neil, who is also an investor in Mistral.

In addition, artificial intelligence can help telecommunications companies reduce their operating expenses, Minsh said.

“But on the interface of artificial intelligence, we are in a practical state – it’s not perfect,” he added regarding the issue of the red tape. He also welcomed the “change of perspective” among the European Union policy makers regarding the need to invest in artificial intelligence.

“I think the European Union AI law came very early, and it focuses very on the technological aspect – so we are facing difficulty in finding technological ways to implement them. So we are working with the organizers to ensure that this is resolved.”

In response to a final question, he asks about the following technical developments that come out of the tube, Minche expects the artificial intelligence models increasingly “specialized”.

Over the next two years, Mistral will focus on capturing data from every interaction between models and humans. This experience will be used to develop better models – “to make the specialized artificial intelligence system that will be your”, he said.