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Kalman Tiboldi - CTO & Founder at GemOne-TVH - Simplify or Die: Why Complexity Is the Real IT Challenge
Germany Oct 20, 2025 Country Members Virtual german
Die Realisierung des Potenzials von KI und datengesteuerten Strategien stellt nicht länger nur einen Wettbewerbsvorteil dar, sondern ist Heute auch entscheidend für den langfristigen Erfolg eines jeden Unternehmens. Unsere Wissensaustausch-Briefings "AI & Data Knowledge Transfer" zielen darauf ab, CIDOs und Senior Digital Leaders praktische Anwendungen aufzuzeigen und umsetzbaren Erkenntnissen von Fachexperten zu vermitteln, die den Weg für die transformative digitale Reise ebnen und beschleunigen.
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Belgium Oct 21, 2025 Invitation Only Physical english
In today's competitive landscape, customer expectations have never been higher. They demand a personalised, seamless experience at every touchpoint, from initial marketing contact to post-sale service. Unified data is at the heart of creating engaging customer experiences and is meant to fuel the 360 profile. However, for many organizations, a complete picture of the customer is fragmented, with critical data scattered in disconnected systems and departments. This exclusive roundtable will bring together Digital Leaders active in multiple industries to discuss a critical challenge: breaking down data silos to build a true 360° view of the customer. We will explore how to solve the complex integration challenges that prevent a unified view, and how to transform disparate data into a single source of truth. Join us to: Discover how to overcome the technical hurdles of integrating critical business systems, such as ERP and CRM platforms, to unify customer data. Explore real-world case studies on how organisations have successfully created unified customer insights to enhance personalisation and boost commercial and operational efficiency. Discuss best practices for turning fragmented data into actionable insights that can anticipate customer needs, drive revenue growth, and foster long-term loyalty. This is a unique opportunity for Digital Leaders who are ready to transform their customer engagement strategy and unlock the full potential of their data.
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Spain Oct 22, 2025 Country Members Physical spanish
Descubre cómo las organizaciones están utilizando la tecnología para impactar en el negocio a través de casos reales de uso y aprendizajes clave en áreas como ciberseguridad, automatización o data, contados por los protagonistas. Un espacio diseñado para inspirarte, conectar con expertos y potenciar la innovación en tu organización.
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Belgium Oct 22, 2025 Invitation Only Physical english
Enterprises are questioning whether private networks and stacked firewalls are still worthwhile investments. A newer approach operates on the open internet with Zero Trust, eliminates perimeter complexity, and reframes cybersecurity as a business performance metric for boards and audit committees. This is a closed-door, peer discussion, not a lecture. We’ll examine the promise and its pitfalls: Are the promised savings significant, or are they too good to be true? What risks do you introduce? How does this collide with your installed base, legacy OT, entrenched processes and team competencies, and how do you overcome that without breaking operations or credibility with the board? Two senior leaders from global companies will spark the dialogue with lived experience: Kurt De Ruwe, CIO AkzoNobel Frank Bolata, CIO Syensqo
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Poland Oct 23, 2025 Invitation Only Physical Polish
Cloud UP! ’25 to miejsce spotkań managerów, którzy chcą świadomie i skutecznie rozwijać swoje organizacje, wykorzystując najnowsze technologie. Nieformalnym hasłem tegorocznej edycji jest “Chmura gotowa na AI” - będziemy rozmawiać o tym, co sztuczna inteligencja naprawdę potrafi oraz pokazywać, jak wdrażać ją w praktyce. Wspólnie z ekspertami przeanalizujemy, jakie warunki muszą zostać spełnione, aby wdrożenia AI były zarówno skuteczne, jak i bezpieczne. Zerkniemy za kulisy najnowszych rodzimych produktów AI-owych, by zobaczyć ich możliwości, a także poznamy najciekawsze wdrożenia z wykorzystaniem Agentspace. Po raz kolejny spotkamy się w formule Share.Explore.Execute. Stawiamy na wymianę wiedzy i doświadczeń zdobytych podczas realizacji projektów. To one stanowią punkt wyjścia do odkrywania, testowania i skutecznej implementacji najlepszych rozwiązań w organizacjach. Cloud UP! ’25 to cztery ścieżki tematyczne, na które złożą się prezentacje, rozmowy, sesje live-demo oraz pogłębione dyskusje w formule roundtables: AI: Beyond the Hype Data Mastery Resilience & Regulatory Advanced Practitioners Dołącz do liderów chmurowych innowacji w Polsce i spotkaj się z nami już 23 października w Event Hall w Fabryce Norblina.
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Belgium Oct 23, 2025 Invitation Only Physical english
How to lead responsibly when technology can deceive better than a human? AI’s ability to shape our perceptions and create new realities is becoming increasingly sophisticated. While it opens significant opportunities, it also carries risks. What happens when AI goes beyond data and algorithms to influence - or even deceive - our senses? How does this change not only our understanding of reality but also the foundations of trust, creativity, and truth in business? AI isn’t just transforming business, it is altering how we experience and interpret everything around us. From AI-generated deepfakes to personalised experiences designed to influence behaviour, the line between truth and illusion is increasingly blurred. This event combines a roundtable discussion among peers with a hands-on sensory workshop, where you will experience illusions through sight, sound, taste, smell, and touch. Through these experiments, we will confront the ethical dilemmas that arise when AI has the power to fabricate realities and influence decisions.
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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.
car configurations
vehicle simulations
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.”
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.
Amazon Bedrock Amazon Personalize Amazon SageMaker AWS Fargate
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