-1.png)
Claudio Balbo - Senior Director and Head of IT Architecture at Intesa Sanpaolo - Revolutionizing Core Banking
.jpg)
Latam Nov 27, 2025 Public Virtual spanish
Desayuno ejecutivo virtual para Latinoamérica donde hablaremos sobre cómo la inteligencia artificial y la automatización están redefiniendo la cadena de valor y la resiliencia empresarial y el rol del CIO en este proceso.
Read More
Belgium Nov 27, 2025 Public Physical english
NIS2 is reshaping cybersecurity requirements across industries, placing high expectations on entities in scope. But how ready is your organisation compared to others? Join this open Squad session to: See how organisations in different sectors (cloud, MSSP, manufacturing) are approaching NIS2 Benchmark your readiness on scope, cost, and timelines Learn how peers interpret “essential” vs “important” requirements Identify common challenges and blind spots Discover how others are balancing compliance with business priorities This C-level-only benchmarking session, organised in collaboration with Komatsu, is designed for CIOs, CISOs, and digital leaders who want to share insights and learn from each other’s experience. Organisations that have concluded they’re not in scope are especially welcome to join and have their assumptions challenged. Expect a session packed with pragmatic discussions, direct questions, and real-world exchange. No theory. No fluff. Just straight answers. If you are interested in registering, please complete this short survey. Your input will help us prepare the session and we will share the combined insights with the audience.
Read More.png)
Poland Nov 27, 2025 All Members Physical Polish
COMMUNITY EVENT KRAKÓW
Read More
Germany Nov 27, 2025 Country Members Physical german
Wir freuen uns, Sie zur dritten Ausgabe unseres exklusiven AI-Horizons Events für CIDOs und leitende Technologieexperten einzuladen. Diese Veranstaltung verspricht ein unvergessliches Erlebnis zu werden, das Ihr Verständnis für Künstliche Intelligenz und ihre transformative Wirkung auf Unternehmen erweitern wird.
Read More
Belgium Nov 27, 2025 Invitation Only Physical french
Entre réglementations européennes renforcées, pressions extraterritoriales croissantes et montée en puissance des technologies d’IA générative, les Leaders Digitaux belges se trouvent à un carrefour stratégique. Face à un paysage de plus en plus fragmenté — DORA, RGPD, NIS2, AI Act vs Cloud Act — les décisions en matière de cloud, de stockage, de traitement ou de partage des données ne relèvent plus seulement de critères techniques ou budgétaires. Elles engagent la résilience globale de l’organisation, sa souveraineté opérationnelle, sa conformité réglementaire, et sa capacité à rester maître de ses infrastructures critiques. Le débat sur la souveraineté numérique n’est plus théorique. Il devient un enjeu d’équilibre entre performance, innovation et contrôle. Il pose également la question de la dépendance technologique à des prestataires globaux et des conditions d’accès aux technologies stratégiques comme l’intelligence artificielle. Ces tensions concernent les organisations de toutes tailles, publiques ou privées : souvent très exposées, elles ne disposent pas toujours des ressources pour réévaluer leurs architectures cloud, la localisation réelle de leurs données, ou la traçabilité de leurs flux d’information.
Read More
Belgium Nov 27, 2025 Invitation Only Physical english
Artificial Intelligence (AI) has become a core business imperative for virtually all organisations. The coming wave of Agentic AI will further solidify the urgency of deploying these transformative technologies. However, the reliance on hyperscale public clouds for sensitive AI workloads often introduces unacceptable risks regarding data sovereignty, intellectual property (IP) control, and regulatory compliance (e.g., EU AI Act, GDPR). Furthermore, the unpredictable nature of public cloud consumption models, coupled with soaring data egress costs, creates major barriers to achieving sustainable, enterprise-wide AI at scale. The question facing CIOs is clear: How do you build a secure, compliant AI factory that delivers predictable ROI without sacrificing performance?
Read More
Paf’s engineering team creates 85 custom GPTs to surge developer productivity
Paf adopted ChatGPT Enterprise across its entire company, with engineers using custom GPTs on a daily basis to speed up routine development tasks. Paf also integrated ChatGPT Enterprise into the grit:lab coding academy. 70% of Paf employees actively use ChatGPT Enterprise, spanning business teams like finance, HR, marketing, and customer support.
Paf is an international gaming company founded in 1966 in the Åland Islands by the Red Cross, Save the Children, and Folkhälsan, and is an industry leader in responsible gaming. With around 315 employees from 29 countries, Paf has contributed over 447.5 million euros to benefit society since it was founded.
As an organization committed to staying ahead of the technology curve, Paf recognized the transformative potential of AI early on. When generative AI began gaining traction, the company swiftly adopted and evaluated various AI systems to understand how this technology could propel its employees and business operations forward.
In their search for the ideal generative AI solution, Paf experimented with LLAMA, Claude and GPT-4. When the team conducted head-to-head accuracy and cost comparisons, GPT-4 was 25% more accurate than competitors, without being more expensive. Paf decided to use GPT-4 as its AI solution.
Paf rolled out ChatGPT Enterprise to the entire team of 100 developers, and now finds ChatGPT Enterprise indispensable for their daily tasks. “I use ChatGPT 20 times a day for tasks like boilerplate code creation or learning a new programming language,” says frontend developer Krista Koivisto. In addition to using ChatGPT Enterprise for general coding assistance, the engineering team has created over 85 custom GPTs to support specific use cases.
One of the engineering team’s favorite applications of custom GPTs is a suite of specialized coding GPTs that help streamline the development process, from creating backend infrastructure to generating frontend components:
Swagger GPT converts Swagger JSON API definitions into TypeScript service endpoint definitions per Paf’s coding standards.
TypeScript GPT writes the backend service code using the endpoint definitions, reusing existing session validation functions.
GraphQL Nexus GPT generates GraphQL Nexus schemas, integrating existing helper functions to interact with the frontend.
Relay GPT creates the React Relay hooks using GraphQL Nexus schemas for communicating with our backends.
React GPT writes React components using Paf’s React and TypeScript style guidelines and core component library.
Swagger GPT converts Swagger JSON API definitions into TypeScript service endpoint definitions per Paf’s coding standards.
TypeScript GPT writes the backend service code using the endpoint definitions, reusing existing session validation functions.
GraphQL Nexus GPT generates GraphQL Nexus schemas, integrating existing helper functions to interact with the frontend.
Relay GPT creates the React Relay hooks using GraphQL Nexus schemas for communicating with our backends.
React GPT writes React components using Paf’s React and TypeScript style guidelines and core component library.
“Focused GPTs avoid overloading models and curb hallucinations,” says Koivisto. “We automatically generate functioning boilerplate implementations with far less effort.” By chaining tailored GPTs together instead of relying on the general model, Paf's developers can quickly generate accurate, standardized application flows and APIs nearly automatically.
Building on its success with the development team’s custom GPTs, Paf has integrated ChatGPT Enterprise into the grit:lab coding academy to accelerate training for 65 aspiring developers. Grit:lab students use ChatGPT for a variety of coding-related tasks, including:
Understanding new programming concepts
Debugging code errors efficiently
Learning syntax and structure across different languages
Generating test data quickly
This AI-augmented software development approach is creating a new breed of software developer, one who has more systems architect knowledge from the start. “Using ChatGPT, the junior developers think at a higher, systematic level,” says Kim Gripenberg, a DevOps engineer, noting that both grit:lab students and junior developers at Paf progress years faster with AI assistance. Instead of getting bogged down in syntax errors and coding basics, developers can focus on the overall application and system design.
In the next year, Paf plans to fully integrate ChatGPT Enterprise and the OpenAI API into all of its processes. “AI is here to stay. Either you are on the train,” says Fredrik Wiklund, Chief Technology Officer, “or you are back at the station, watching it leave.” The company envisions GPTs eventually handling more coding tasks like writing, testing, and deploying software, freeing up developers to focus on higher-level, systems-level work.
This AI-augmented approach will allow Paf to innovate with a velocity similar to that of a much larger company. By integrating generative AI into every part of its business, Paf is set to maximize its positive impact for employees, customers, and communities it serves.
“We estimate ChatGPT is doing the equivalent work of 12 full time employees,” commented Wiklund. “The impact to our business has exceeded our expectations, and this is only the start.”
Claudio Balbo - Senior Director and Head of IT Architecture at Intesa Sanpaolo - Revolutionizing Core Banking
-1.jpg)
Angélique Bidault-Verliac - CDPO, SNCF Connect & Tech - Data, AI, and Customer-First Transformation
-2.png)
Rajat Dhawan - Group Chief Digital & Technology Officer at Soho House - How Data & AI Enhance Member Experiences
-2.jpg)
Hanna Huber - CTO at Flix Tech - Transforming Technology at Flix
Giuseppe Ficara - The Untold Story of Amplifon's Data & AI Transformation
.png)
Jesús Oliva, Head of Data & AI at Moeve - From Data Challenges to AI Leadership
The role of the CIO has evolved from managing systems to shaping outcomes: growth, resilience, and competitive edge are now won or lost in the technology arena. Today ’ s CIOs must balance stability with innovation, control costs while attracting scarce talent, and modernise legacy infrastructure while adopting emerging technologies.
As AI transitions from a specialised tool to an all-pervasive force, understanding its profound implications for our human lives is no longer merely academic but an urgent imperative for social well-being and strategic preparedness.
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.
.png?width=600&height=600&name=Anna%20Kopp%20(1).png)
