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Belgium 11-12-25 Country Members Physical english

Next Generation Digital Twins - CIONET Belgium: Community Event

Imagine being able to monitor, simulate, and optimise an entire city, factory, or supply chain in real time. Next-generation digital twins are making this vision a reality, transforming how we manage and understand complex systems. By creating dynamic virtual replicas of physical assets and processes, digital twins allow organisations to predict issues, optimize performance, and make data-driven decisions with unprecedented accuracy.This event will explore how digital twins are being used across industries to revolutionize the way we operate and maintain large-scale, intricate systems—whether it’s the infrastructure of a smart city, the efficiency of a factory floor, or the resilience of global supply chains.Examples of Digital Twins in Action:Smart Cities: Urban planners can use digital twins to simulate traffic flow, monitor energy usage, or predict the impact of weather events on infrastructure. This enables cities to optimize resources and improve the quality of life for their citizens.Factories of the Future: Manufacturing plants are leveraging digital twins to monitor equipment in real time, prevent downtime, and optimize production lines. With predictive analytics, factories can avoid costly breakdowns and improve overall efficiency.Supply Chain Management: Complex supply chains, spanning continents and industries, can be modeled as digital twins to track shipments, simulate disruptions, and optimize logistics. Businesses can reduce inefficiencies and respond faster to market demands.Key Themes:Real-Time Monitoring and Simulation: How digital twins provide real-time insights into complex systems, allowing for dynamic response and optimization.Predictive Power: Leveraging AI and data analytics, digital twins help organisations predict and mitigate issues before they happen, from equipment failures to supply chain bottlenecks.Scalability Across Ecosystems: Digital twins aren’t limited to individual assets—learn how they can be scaled across entire ecosystems like smart cities or global supply chains for maximum impact.Building Trust and Security: With digital twins handling critical infrastructure and sensitive data, what are the security and governance frameworks needed to ensure trust in these virtual systems?Why You Should Attend:Next-generation digital twins are no longer just a concept—they are revolutionizing industries by offering a new way to manage complexity. Whether you’re looking to optimize a city, factory, or supply chain, this event will provide practical insights into how digital twins can transform your organisation’s operations and drive future innovation.

Belgium 12-12-25 Squad Only Physical english

Managing IT Cost Without Losing Capability ; A practical look at how to control infrastructure, apps, and dev spend

Everyone wants value for money. But in IT, that value is spread across infrastructure, software, services, and people. Your infra spend is creeping up. App maintenance is eating your budget. New development is exciting but comes with hidden overhead. And people costs, from operations to engineering, remain the largest, most overlooked slice. If you’re under pressure to optimise without compromise, this session brings the right questions, trade-offs, and shared lessons to the table.

Belgium 16-12-25 Invitation Only Physical english

CIONET Round Table: Mastering Enterprise Service Management

This CIONET Round Table will focus on how the IT department can be the enabler that unlocks organisational efficiencies and helps to improve the employee experience. We will explore how CIOs and Digital Leaders can fundamentally transform the internal service experience by breaking down organizational silos, orchestrating complex cross-functional workflows, and leveraging a unified platform to deliver a truly frictionless experience for every employee.

December 12, 2025 Squad Session Squad Only Physical english

Managing IT Cost Without Losing Capability ; A practical look at how to control infrastructure, apps, and dev spend

January 13, 2026 Squad Session Invitation Only Virtual english

Moving Legacy Systems to the Cloud Efficiently : Balancing cost, risk, and continuity in complex migrations

Migrating legacy systems to the cloud remains one of the toughest balancing acts in IT. Every choice affects stability, cost, and trust at once, and what starts as a modernisation effort quickly turns into a negotiation between ambition and reality. Suddenly budgets rise, dependencies appear late, and timelines tighten as old architectures collide with new expectations. In the end, success depends on sequencing, ownership, and aligning business priorities with infrastructure limits, and not only on technical readiness. Making it work requires more than a plan on paper. Knowing which systems genuinely belong in the cloud, which can wait, and which should stay put shapes the entire roadmap and defines its success. Each refactoring decision sets the level of future flexibility, but it also drives cost and risk. The trade-offs between speed, sustainability, and resilience only become clear once migration begins and pressure builds. Let’s discuss how to plan migrations that stay on track, manage hidden dependencies, and handle downtime with confidence. Let’s also discuss how governance, testing, and vendor coordination keep progress visible and credible. Are you in? A closed conversation for those who turn cloud migration from a disruption into a long-term advantage.

January 22, 2026 Squad Session Invitation Only Virtual english

AI-Driven Development: Redesigning workflows, responsibilities, and trust in the age of automation

AI coding assistants entered development teams quietly, but their impact grows by the day. What started as autocomplete now shapes architecture decisions, documentation, and testing. And when productivity gains are visible, so are new risks: security blind spots, uneven quality, and the slow erosion of shared standards. Teams move faster, but not always in the same direction. The challenge has become integration rather than adoption. And new questions have risen: how do you blend automation into established practices without losing oversight? When is human review still essential, and what should the rules of collaboration between developer and machine look like? As AI tools learn from proprietary code, where do responsibility and accountability sit? Let’s talk about how to redefine those workflows, balancing creativity with control, and protecting code quality in a hybrid human-AI environment. A closed conversation on where AI accelerates progress, where it introduces new debt, and how development culture must evolve to stay credible.

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Ferrari Advances Generative AI for Customer Personalization and Production Efficiency

Learn how Ferrari uses generative AI on AWS to enhance the customer and vehicle journeys to increase sales, experimentation, and productivity.

20% faster

car configurations

60% faster

vehicle simulations

Millions

of hyperpersonalized recommendations

Overview

Luxury Italian auto manufacturer Ferrari S.p.A. (Ferrari) has forged a globally recognized legacy that’s rooted in tradition and innovation over many decades. To continue to deliver the best possible experiences to customers and dealers, Ferrari has tapped into the power of generative artificial intelligence (AI) by turning to Amazon Web Services (AWS).

Ferrari has applied generative AI to several use cases, from accelerating the vehicle design process to providing personalized services to its customers. “Every day, we try to find new ways of achieving excellence while improving our customers’ experiences and their connection with our brand,” says Silvia Gabrielli, chief digital and data officer at Ferrari.

Opportunity | Building a Cloud Foundation on AWS with Ferrari

Founded in 1947 for sports car racing, Ferrari epitomizes the power of a lifelong passion and the beauty of limitless human achievement. Ferrari, which has cultivated a loyal fan base, has focused on reaching fans and potential customers by offering unique digital experiences on its website and mobile applications. In 2021, Ferrari selected AWS as its preferred cloud provider to advance its compute, analytics, and storage capabilities. “AWS has been key to our IT transformation,” says Gabrielli. “We started our cloud journey a couple of years ago as a strategic initiative. Today, all our critical workloads are on AWS.”

To free its teams from managing the infrastructure for its applications, Ferrari has invested in fully managed services, such as AWS Fargate, a serverless compute solution for containers. “We’ve reduced the total cost of ownership for our infrastructure from 70 percent to 40 percent,” says Alessio Glorioso, product manager at Ferrari. The company has also seen improvements in the reliability and scalability of its applications. For example, the company can run simulations in its product lifecycle management software 60 percent faster than before.

Ferrari remains committed to furthering its technology road map with generative AI, seeing it as an opportunity to improve the vehicle and customer journeys. “Generative AI is something that every company needs to consider,” says Gabrielli. “It’s a game changer. We can use generative AI to increase our productivity and make it simpler for our fans, dealers, and employees to have the best digital experiences with Ferrari.”

We can use generative AI to increase our productivity and make it simpler for our fans, dealers, and employees to have the best digital experiences with Ferrari.”

Silvia Gabrielli
Chief Digital and Data Officer, Ferrari

Solution | Greater Speed and Ease of Choice Personalizing a Ferrari Using Amazon Bedrock

To bring the luxury experience to customers around the world, Ferrari developed the car configurator on AWS, giving its customers the ability to personalize their own Ferrari, from wheel selection to paint colors to interior options. “There are millions of possible configurations,” says Simone Canditone, digital experience manager at Ferrari. “We want to help our dealers and customers effectively customize their vehicle to suit their needs.”

To do so, Ferrari uses large language models (LLMs) in Amazon Bedrock, a fully managed service that offers a choice of high-performing foundation models, along with Amazon Personalize to elevate the customer experience with personalization powered by machine learning (ML). Since rolling out the car configurator, Ferrari has increased its sales leads and reduced configuration times by 20 percent by offering a more personalized experience where customers can visualize a vehicle with 3D imagery that can be rotated and zoomed in and out. It also allows a customer to virtually experiment with different options.

Ferrari also enhances the after-sales experience with a generative AI chatbot. To assist its sales professionals and technicians, the company fine-tuned LLMs in Amazon Bedrock—including Amazon Titan, Claude 3, and Llama—on its documentation. “Amazon Bedrock has simplified our approach,” says Mauro Coletto, head of business analytics and AI at Ferrari. “We can connect to a single layer of APIs to quickly test, benchmark, and deploy different models.”

Ferrari combines its use of Amazon Bedrock with Amazon SageMaker JumpStart, an ML hub with foundation models, built-in algorithms, and prebuilt ML solutions that can be deployed with only a few clicks. Using these services, Ferrari has trained its chatbot to classify and summarize customer care tickets and answer commonly asked questions that help to reduce human error while improving productivity.

Ferrari uses AI and ML to optimize the production of its vehicles as well. For example, Ferrari uses Amazon Lookout for Vision to spot product defects using computer vision to automate quality inspections. Using AI, the company can detect missing or defective parts in the assembly line before a vehicle goes to testing, helping it save on costs.

The company has improved the vehicle design with generative AI across F1 vehicles and sports cars by being able to test more designs. Using generative AI, Ferrari can reduce its time to market while relying less on physical prototyping. “We can run analytics and simulations and make correlations that were not possible in the past,” says Gabrielli. “It really speeds up and improves our product development.” Creating full car body physical prototypes is time and resource intensive, and by running virtual simulations on the cloud, Ferrari can run thousands or even millions of simulations in parallel at a very low cost. Additionally, Ferrari is training generative AI text-to-image capabilities that facilitate text-based prompts to make vehicle render improvements and design changes quickly.

Thanks to the configurator, everything was possible within seconds so I could try many different colors, many different interiors, and make it a reality. You can really see the car just like you would in reality, but in a virtual world.”

Charles Leclerc
Official driver, Scuderia Ferrari HP

Outcome | Experimenting with Generative AI

With a strong cloud foundation on AWS, Ferrari used generative AI solutions to gain measurable impacts across its business. Ferrari will continue expanding its use of generative AI to better serve customers and dealers. The company is also exploring cloud services that will help it meet its carbon neutrality commitment by 2030.

“Innovation is in Ferrari’s DNA, since the first days of our founder,” says Gabrielli. “We see AWS as a strategic collaborator in our innovation efforts. We really align in terms of our values around excellence, innovation, and customer obsession.”

About Ferrari

Italian luxury sports car manufacturer Ferrari has built a legacy upon decades of sporting success that epitomizes craftsmanship and innovation. Ferrari continues to uphold its tradition of racing with its professional racing team, Scuderia Ferrari.

Technologies

Amazon Bedrock Amazon Personalize Amazon SageMaker AWS Fargate

CIONET Business Circles

Healthcare Circle

Digital Transformation is redefining the future of health care and health delivery. All stakeholders are convinced that these innovations will create value for patients, healthcare practitioners, hospitals, and governments along the patient pathway. The benefits are starting from prevention and awareness to diagnosis, treatment, short- and long-term follow-up, and ultimately survival. But how do you make sure that your working towards an architecturally sound, secure and interoperable health IT ecosystem for your hospital and avoid implementing a hodgepodge of spot solutions? How does your IT department work together with the other stakeholders, such as the doctors and other healthcare practitioners, Life Sciences companies, Tech companies, regulators and your internal governance and administrative bodies?

Telenet Business Leadership Circle

The Telenet Business Leadership Circle powered by CIONET, offers a platform where IT executives and thought leaders can meet to inspire each other and share best practices. We want to be a facilitator who helps you optimise the performance of your IT function and your business by embracing the endless opportunities that digital change brings.

Les Rencontres

Découvrez la dynamique du leadership numérique aux Rencontres de CIONET, le programme francophone exclusif de CIONET pour les leaders numériques en Belgique, rendu possible grâce au soutien et à l'engagement de nos partenaires de programme : Deloitte, Denodo et Red Hat. Rejoignez trois événements inspirants par an à Liège, Namur et en Brabant Wallon, où des CIOs et des experts numériques francophones de premier plan partagent leurs perspectives et expériences sur des thèmes d'affaires et de IT actuels. Laissez-vous inspirer et apprenez des meilleurs du secteur lors de sessions captivantes conçues spécialement pour soutenir et enrichir votre rôle en tant que CIO pair. Ne manquez pas cette opportunité de faire partie d'un réseau exceptionnel d'innovateurs numériques !

Female Leadership Circle

CIONET is committed to highlighting and celebrating female role models in IT, Tech & Digital, creating a leadership programme that empowers and elevates women within the tech industry. This initiative is dedicated to showcasing the achievements and successes of leading women, fostering an environment where female role models are recognised, and their contributions can ignite progress and inspire the next generation of women in IT. Our mission is to shine the spotlight a little brighter on female role models in IT, Tech & Digital, and to empower each other through this inner network community.