With the democratization of the generative AI, AI has developed at an unprecedented rate in companies for the past twelve months.
Motivated by the promise of unprecedented advantages and by the growing pressure exerted by competition, organizations and governments actively develop their strategies. Proof of this is, one in three companies plans to allocate more than $ 25 million to AI in 2025, with a planned increase of 60% of investments in the generative AI by 2027, according to AI Radar led by BCG upstream of the Davos forum with more than 1,800 leaders worldwide.
The CAP is now put on the development of an approach allowing to fully exploit the potential of the AI, while guaranteeing reinforced security, data sovereignty, and compliance with regulatory executives. To do this, private AI allows companies to adopt advanced technologies and make productivity gains without compromising confidentiality, model security or data control. But how can you convince them to take the plunge and take advantage of private AI? Discover its main advantages.
A flexible model
Many companies share their uncertainties regarding the adoption of AI, especially due to popular belief in the technological or financial obstacles it generates. The dominant discourse, according to which the implementation of AI would require massive public cloud infrastructure, has aroused concerns among companies seeking to take advantage of this technology. Many are wondering about the reason to invest so much time and money in AI technologies hosted in the public cloud for a regulator or a cloud service provider outside their countries to order them to change their tactics overnight.
The answer is simple: nothing obliges them, and it is there that private AI comes into play. These models are intrinsically adaptable, and directly take into account global regulatory issues in their main architecture. By guaranteeing the high traceability of the data, they allow organizations to proactively comply with the emerging requirements in terms of data sovereignty.
Unlike migration precipitated towards the public cloud in the past, where companies adopted technologies without strategic vision, private AI represents a more thoughtful, profitable and adaptable approach in terms of technological infrastructure.
The landscape of artificial intelligence is dynamic and in full expansion, and is witnessing the constant emergence of new technology suppliers. With private AI, companies benefit from a flexible and modular infrastructure which avoids proprietary confinement and guarantees permanent compatibility with constantly evolving technologies. Organizations can now create artificial intelligence platforms designed to integrate gently with APIs and open source tools.
In addition, thanks to advanced resources or even memory management planning features, they have the possibility of allocating GPU and material resources between their production and research tasks, in order to benefit from optimal performance, while mastering their costs. Thanks to this flexibility, companies can develop their artificial intelligence capacities without investing in a large amount of additional equipment.
Tangible advantages
Private AI already transforms the way in which many sectors are concerning the challenges of data confidentiality and conformity. In financial services, for example, banks use this technology to process sensitive information in complete safety. They can thus exploit advanced detection capacities for fraud and customer analysis, while compliance with strict regulatory standards. By hosting data outside public clouds, these establishments can strengthen their protection and guarantee their operational efficiency.
Another example, customer relations centers, which optimize internal processes management in order to facilitate the work of advisers and improve the efficiency of the service. Rather than replacing interactions with customers, these systems make it possible to offer faster and more precise responses. They thus improve ticket resolution rates and overall productivity, while ensuring data confidentiality and complete compliance.
These examples demonstrate the undeniable potential of private AI: tangible economic advantages (increase in productivity, value and profitability), which do not sacrifice the data security and regulatory compliance requirements.
At a time when data confidentiality and technological adaptability are essential, private AI is asserting itself as an engine of transformation which redefines the limits of innovation and progress. The opportunity to be seized is obvious for businesses: by adopting this approach, they will see how an intelligent and secure AI can become an undeniable asset in piloting their performance.
