Private AI: How to Bring Artificial Intelligence to Your Data and Your Cloud

Enterprise AI Doesn’t Necessarily Have to Reside in Someone Else’s Cloud

Artificial intelligence is rapidly making its way into business processes, but along with the opportunities come new questions:

• Where does the data used by the models end up?
• How customizable is an AI solution?
• How do you manage costs, security, and scalability?
• Is it always necessary to use proprietary AI services?
• When is it better to adopt an open model in a private cloud?

In this webinar, Andrea Bosio of AIAbility and Vittorino Aprile of Critical Case address these issues based on a simple principle:

Your artificial intelligence, on your data, in your cloud.

From Business Problem to AI Solution

An effective AI project doesn’t start with the technology, but with identifying the problem.

You need to understand:

• which process you want to improve;
• what data is available;
• what risks need to be managed;
• which model is most suitable;
• what infrastructure is required;
• how to measure the value generated.

This alignment between the problem and the solution gives rise to a truly customized AI project.

Open Models or Proprietary Models?

The webinar compares two approaches.

Proprietary models such as ChatGPT or Gemini offer high performance, continuous updates, and a very mature ecosystem.

Open models, on the other hand, can offer:

• greater control over data;
• greater customization;
• the ability to fine-tune;
• deployment in private environments;
• more predictable costs in certain scenarios;
• greater independence from the provider.

The choice isn’t ideological: it depends on the use case and can even lead to hybrid configurations.

AIAbility: Private and Customizable AI

AIAbility was created precisely to address this need.

The solution combines open models with a private cloud infrastructure, providing:

• a model hub;
• fine-tuning tools;
• MLOps;
• prompt engineering;
• prompt library;
• model lifecycle management;
• GPU infrastructure;
• security;
• scalability;
• cost control.

Why the Private Cloud Matters

The private cloud allows you to know where your data resides, how it is managed, and which infrastructure resources are being used.

In the model presented in the webinar, data can be hosted in data centers located in Italy, with infrastructure designed to ensure:

• data residency;
• security;
• compliance;
• scalability;
• GPU management;
• infrastructure control;
• continuous operational support.

AI and Infrastructure Must Evolve Together

A truly enterprise-grade AI solution requires much more than just access to a model.

It requires an architecture capable of bringing together:

data + models + cloud + security + governance + business processes.

And it is precisely in this area that the collaboration between AIAbility and Critical Case takes shape.

Watch the webinar and discover how to design a private, secure AI solution tailored to your company’s needs.