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Belgium 01-10-2026 Squad Only Virtual english

Letting Teams Build Safely with Low-Code, No-Code, and AI Tools. ; How to enable business-led development while keeping security, architecture, and support under control.

Low-code, no-code, and AI tools are giving business teams more ability to build solutions themselves. The challenge is setting the right boundaries before fast local solutions become important operational assets. Three pressure points need attention. - Boundaries must be clear: teams need to know what they can build alone and what requires IT, security, or architecture review. - Supportability matters when a quick solution becomes business-critical. - Risk control remains necessary around data access, compliance, security, process dependency, and maintenance. The working question is simple: how do we enable business-led development while keeping security, ownership, and support under control? If you are trying to enable this safely, let’s compare approaches with others facing the same balance.

Belgium 06-10-2026 All Members Physical english

The Token Trap: Reclaiming Control of Enterprise AI

As enterprise AI transitions from experimental Proofs of Concept (POCs) into real implementations, digital leaders are encountering a shared challenge: consumption-based public cloud token billing models do not fit neatly into traditional IT budgeting. Daily token consumption can rise unexpectedly, pushing expenses through the roof while arbitrary caps quickly kill momentum for innovation. For many CIOs, this raises an open strategic question: How do we keep costs under control while further stimulating innovation? During this interactive CIONET roundtable, we will explore among peers how to navigate AI tokenomics. Rather than treating public cloud LLMs as the default path, we will investigate how different execution environments, ranging from hybrid cloud setups and targeted on-premise models to specialised edge hardware, can help balance cost with performance. This session is intentionally designed as an open peer-to-peer exchange; a space to compare notes, challenge current ways of working and architectural setups, and discuss practical approaches to building predictable, scalable AI models.

Belgium 08-10-2026 All Members Physical english

The Permanent (R)evolution

Every large organisation has been through a major transformation, and most through several. The word transformation is misleading because it suggests a beginning and an end. But organisations that do well are the ones that have given up on the idea of arriving and realise that constant change has become the new norm, and missing a single cycle leaves you permanently behind. This evening, two leaders will share how they think about this, coming from opposite directions. John Porter led Telenet through a sustained period of reinvention spanning the pandemic, a full reorganisation into tribes, M&A, and a shift to a performance driven culture. Along the way, the IT department was dissolved and technology was embedded inside autonomous tribes that run as small businesses. There is no CIO at Telenet. It is Telenet Group’s purpose to become a digital-first, customer-centric organisation. To deliver on this ambition, it has embarked on a transformation journey built on three pillars: (i) the implementation of a scaled-agile operating model (organisation), (ii) the acceleration of digitisation and automation underpinned by optimised IT systems, platforms, and strategic technology partnerships (digitisation), and (iii) a performance leadership culture focused on accountability, ownership, and a change mindset (culture). Kris Vervaet, on the other hand, has just become CIO at KBC, the bank whose mobile app has been ranked best in the world three times and whose AI assistant Kate now handles 70% of customer queries on its own. But Kris is no ordinary CIO: he ran DPG Media Belgium as CEO, and KBC went looking for someone who has led transformation rather than someone who manages technology. So while one organisation got rid of the CIO role, the other reinvented it, and both are thriving. The conversation will range across organisational and IT redesign, the rise of digital-first customer experience, the impact of AI on how every business is run, and the harder questions of culture, talent and leadership. The question for every leader in the room is what that tells you about your own role, your own operating model, and the pace at which you are prepared to keep evolving.

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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

Cyber Circle

CIONET’s Cyber Circle: a new three-event programme exclusively focusing on the most urgent, complex, and high-impact challenges in cybersecurity today. Launched in 2026, this initiative brings together CISOs, CIOs, and senior IT executives with a strong interest in cybersecurity for three curated gatherings each year. As part of CIONET’s trusted executive community, the Cyber Circle provides a confidential, peer-driven environment to exchange insights, share real-world experiences, and address evolving cyber threats. Each session is designed to foster strategic dialogue, strengthen resilience, and elevate cybersecurity as a core driver of business value.

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.