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Kalman Tiboldi - CTO & Founder at GemOne-TVH - Simplify or Die: Why Complexity Is the Real IT Challenge
Italy Sep 25, 2025 Invitation Only Physical italian
Nel percorso verso l’AI e la trasformazione digitale, dati e automazione sono gli elementi centrali di ogni strategia tecnologica. Ma senza una governance chiara, rischiano di diventare non solo fonte di inefficienza, ma anche di rischi e incoerenza. Come garantire che i dati siano completi, accessibili e affidabili? Come automatizzare le operation IT e i processi aziendali mantenendo controllo, compliance e sicurezza? Durante questa roundtable esclusiva, organizzata da CIONET Italia e IBM, affronteremo: La governance come abilitatore di dati affidabili e automazione sicura. Come prepararsi a un’adozione dell’AI realmente scalabile. Il ruolo di controllo, resilienza e gestione del rischio nell’innovazione.
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Belgium Oct 16, 2025 Invitation Only Physical english
AI isn’t just another tool. It changes how we work, how we think, how we organise ourselves.Yet most organisations still approach it like a digital upgrade, deploying assistants, automating workflows, testing use cases inisolation.The results are predictable. Short-term wins. Long-term confusion.Effort spent. Value unclear.Many companies can’t connect AI to their actual strategic goals,and the promised ROI never materialises.At the same time, something deeper is shifting.AI can now reason, decide, adapt. Not just mimic processes butcontribute to them.The technology is evolving, but the way we implement it hasn’tcaught up.If your AI still fits inside a single department, you’re likely solvingthe wrong problem.If it works only for individuals, you're missing how your teamsactually deliver value.If it replaces people instead of supporting them, you're buildingfor today, not tomorrow.The next step isn’t more AI. It’s the right AI.Built for your business, your teams, your way of working.Not a tool to add but a structure to build around.Are we ready to treat AI as a shared capability, not a scatteredexperiment?Can we move beyond individual efficiency and build systems thatcollaborate, learn and adapt with us?Those are the questions we’ll explore at the round table.
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Germany Oct 28, 2025 Country Members Physical german
Am 28. Oktober lädt CIONET CIOs und Digital Leaders nach Köln ein: hier stellen wir reale Anwendungsfälle vor, in denen KI-Agenten Aufgaben autonom übernehmen, Prozesse beschleunigen und Entscheidungen vorbereiten – mit messbarem Nutzen für das Business.
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France Nov 4, 2025 Country Members Physical french
À l’ère des mutations géopolitiques et réglementaires, l’établissement d’une souveraineté numérique est devenu un élément stratégique essentiel pour les entreprises. Ce dialogue stratégique mettra en lumière le rôle fondamental du réseau dans la mise en place du contrôle, de la confiance et de la résilience. Nous explorerons comment une infrastructure moderne et résiliente permet d’appliquer des politiques de gestion des données et d’assurer la continuité opérationnelle. Ce dialogue stratégique, réservé à un groupe restreint de pairs, est conçu pour permettre aux leaders du numérique d’échanger sur l’un des enjeux les plus urgents aujourd’hui. Nous discuterons des réseaux « sovereign-ready » et débattrons des préoccupations croissantes autour de la souveraineté des données, qui motivent l’adoption de politiques de confidentialité et de protection des données de plus en plus strictes à l’échelle mondiale.
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Netherlands Nov 10, 2025 Public Physical english
CIONET Nederland vertrekt met een groep Nederlandse CIO's en digital leaders 10 t/m 12 november 2025 voor de geheel verzorgde CIO Innovation Trip naar de Web Summit in Lissabon, Portugal. Reis jij mee of neem je collega(s) mee!
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Swift innovates with Azure confidential computing to help secure global financial transactions
As the leading infrastructure provider for financial messaging services, Swift has long been working on new ways to detect financial crime. Swift and Microsoft are building an anomaly detection model for transactional data, using federated learning techniques along with Azure Machine Learning and Azure confidential computing.
Using Azure Machine Learning, we can train a model on multiple distributed datasets. Rather than bringing the data to a central point, we do the opposite. We send the model for training to the participants’ local compute and datasets at the edge and fuse the training results in a foundation model.Johan Bryssinck: AI/ML Product and Program Management Lead - Swift
Citizens. Countries. Continents. The entire world relies on the efficiency, reliability, and security of Swift’s global financial messaging network. Swift sets the industry standard for how financial institutions and banks communicate with each other. The member-owned cooperative provides secure infrastructure for money and security transfers and related information for over 11,500 financial institutions worldwide. Swift’s network and platform is trusted to provide seamless automated transmission, receipt, and processing of more than nine billion financial messages a year.
Detecting and stopping fraudulent attacks and crime is a priority for Swift’s customers so the cooperative is constantly innovating to strengthen security. “We connect financial institutions around the globe to our network and deliver products and services in over 200 countries. Our standards are used for financial institutions and banks to communicate with each other, which puts us in a unique position to bring the industry together to try to solve some of the most complex problems,” says Tom Zschach, Chief Innovation Officer at Swift.
As the industry provides faster payment solutions between individuals and organizations across borders, Zschach says the risk footprint increases, as do costs. This is especially true when accounting for secondary impacts like fraud remediation and fund recovery, making fraud a massive issue for all financial intuitions and their customers. “Fraud in payments is a major concern for our clients—in the order of magnitude of billions of dollars every year,” says Isabel Schmidt, Co-Head of Global Payments Products at BNY Mellon, a member of the Swift network. “Preventing financial crime is a problem that we cannot solve individually as a bank, we need to it solve collectively."
With the aim of creating a solution that combats the latest financial security threats, Swift, as part of its robust innovation agenda, has been collaborating with Microsoft. Using federated learning techniques in Azure Machine Learning combined with Azure confidential computing, Microsoft Purview, and a Zero Trust based policy framework, the two organizations are working to build a highly accurate anomaly detection model for financial transactional data. This is being done without copying or moving data from Swift members’ secure locations. Participants’ data remains confidential even while the new model detects anomalies and gains new insights that will help predict and prevent financial crime.
Johan Bryssinck, AI/ML Product and Program Management Lead at Swift, says the organization’s intent is to provide the model so Swift’s banking partners can share their own data to further educate the model. Once data has been collected, Azure confidential computing will securely run new models on the latest data to gain additional insights creating an ongoing cycle of learning that will help drastically improve the rate at which we can detect fraudulent financial transactions across the globe. “Our first ambition at Swift is to build a foundation model for anomaly detection that underpins the detection and prevention of fraud. Our ultimate goal is collaborating with Microsoft and our community to start thinking about how we can stop fraud occurring in payments,” says Bryssinck. “We are exploring the federated learning aspects of Azure Machine Learning where we take a model developed by Swift and further train and enrich it with additional customers’ data through Azure confidential computing.”
“Using Azure Machine Learning, we can train a model on multiple distributed datasets. Rather than bringing the data to a central point, we do the opposite. We send the model for training to the participants’ local compute and datasets at the edge and fuse the results in a foundation model,” says Bryssinck.
While the full potential of the model has yet to be reached, the shared vision is that it will become a potent new tool for reducing financial crime while achieving the highest level of security, privacy, and cost efficiency. “Working together with Microsoft and with our banking customers, we can build a model that's much more accurate and much more performant than I think has ever been seen in financial services,” says Zschach. ”Microsoft is a very important and productive strategic partner for us. There's a strong alignment in core values like trust and security. They’re able to bring the capability and the expertise to help us solve some of the toughest problems in finance.”
Our first ambition at Swift is to build a foundation model for anomaly detection that underpins the detection and prevention of fraud. Our ultimate goal is collaborating with Microsoft and our community to start thinking about how we can stop fraud occurring in payments.Johan Bryssinck: AI/ML Product and Program Management Lead -Swift
Kalman Tiboldi - CTO & Founder at GemOne-TVH - Simplify or Die: Why Complexity Is the Real IT Challenge
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Isabelle Droll - CIO for Airline, Corporate, Hotels & Resorts and Sustainability at TUI - Data, Diversity, and Destinations
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Sharon Prior - CIO in transition - How Great Tech Leadership Begins with Business Thinking
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José Antonio López, Group CIO at TOUS - Jewels, Data & AI: Inside the Digital Transformation of TOUS
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Tom Tanghe - General Manager ITC EMEA at Daikin Europe - Reinventing the CIO Role
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CIOFEST 2025 - From Order Taker to Proactive Disruptor
Geopolitical tensions have dominated the headlines for over two years now. In this context, the cyber threat landscape is also evolving rapidly. The protection and security of critical infrastructure – both physical and digital – is becoming increasingly important.
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