AI in the financial sector: at the Cetif Summit 2026, DGS took part as a partner in the discussion on the findings of the Advanced Analytics & AI Hub research on the adoption of Artificial Intelligence in the Italian banking and insurance sector, with a central focus on governance and skills.

What does the research presented at the Cetif Summit 2026 talk about?

The research describes a financial sector that has moved beyond the exploratory phase, where Machine Learning, Generative AI and Agentic AI coexist at different levels of maturity. The findings, presented by Cetif, highlight operational use cases in document processes, risk and compliance, customer service and knowledge management.

As part of the strategic collaboration with Cetif Advisory on AI and Cybersecurity for Financial Services, DGS took part in the Cetif Summit 2026 at the Catholic University of Milan, contributing to the discussion on the results of the research conducted by the Advanced Analytics & AI Hub.

Why is the sector beyond experimentation?

According to the findings, AI is no longer just a matter of testing or exploration. Financial organizations are already using Machine Learning, Generative AI and Agentic AI solutions in concrete areas, with different levels of maturity depending on the use case and the processes involved.

The starting point remains data: over 80% of the information within organizations consists of unstructured content, historically difficult to leverage. Today, AI makes this content accessible as a decision-making and operational asset.

What is the real test for AI adoption?

The main delay concerns governance. The research indicates that most institutions still do not have formal policies, dedicated structures or adequate control mechanisms, and that Agentic AI is often treated as a separate topic from existing frameworks.

With the entry into force of the European AI Act, this gap takes on direct regulatory relevance. Common use cases such as credit scoring and anti-money laundering are in fact classified by the regulator as high-risk.

What is DGS’s point of view?

For DGS, structured AI adoption requires the integration of Data & AI, cybersecurity and governance expertise. It is in this convergence between innovation and control that the trust needed to make Artificial Intelligence scalable and sustainable in the Financial Services sector is built.

What is the full press release referenced?

The text refers to the full press release: Banks and insurance companies: AI is entering into full swing, but governance and skills remain the real test