Private AI and Infrastructure: S2E’s Contribution to Agenda Digitale
Artificial intelligence is reshaping the way companies design and manage their IT infrastructures, leading more and more organizations to evaluate Private AI models as alternatives to the public cloud. These topics are explored in an in-depth article published by Agenda Digitale, featuring a contribution from S2E, focused on the comparison between proprietary infrastructures and cloud solutions in terms of TCO and ROI.
The article examines the economic and operational implications linked to the adoption of Private AI models, highlighting how companies are required to carefully assess aspects such as data governance, performance, scalability, and management costs. A particularly relevant topic for organizations operating in regulated environments or handling sensitive information.
S2E’s contribution is part of a broader reflection on the evolution of IT infrastructures and the need to build architectures capable of supporting artificial intelligence efficiently and sustainably over time. The growing adoption of advanced AI models is reshaping the relationship between computational power, resource consumption, and investment strategies.
Within this scenario, the ability to identify the infrastructure model best suited to business needs becomes increasingly relevant, balancing control, flexibility, and cost optimization. The choice between proprietary environments and public cloud solutions is not only technological, but also involves organizational, regulatory, and strategic considerations.