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Welcome to CIONET Belgium

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Belgium 9-9-25 Squad Only Physical english

Fixing the Data Foundations ; Making data trustworthy, consistent, and ready for action

As Belgium navigates the complexities of GDPR and various data sovereignty regulations, organizations across multiple industries face both challenges and opportunities in managing their data across borders. The quest for compliance often intersects with the need for business growth, raising questions about the balance between protection and progress. How can companies effectively own and safeguard their data while ensuring compliance without stifling innovation and expansion in a multi-industry landscape?

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Belgium 11-9-25 Squad Only Virtual english

Customer Experience at the Frontline ; Designing digital tools that actually work

You’ve built the portal. Added the chatbot. Rolled out self-service. But your support lines are still ringing. And your frontline teams are still improvising. If you want digital services to feel seamless, not just look polished, this session brings you back to where value is felt: at the frontline.

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Belgium 13-9-25 All Members Physical english

CIONET Cycling Event

Join us for a scenic ride along the route of the Brabantse Pijl!This ride is suitable for all levels of cyclists and doesn’t require advanced technical skills. We’ll start at de Zoete Waters, where parking is available, and head into the charming Brabant region. Along the way, we’ll tackle some of the area’s iconic climbs — including the legendary Moskesstraat, known for its cobbled character and history in pro cycling. Expect a relaxed, friendly atmosphere and beautiful views throughout. Whether you're training, exploring, or just riding for fun, you’re more than welcome to join!

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Upcoming TRIBE Events

 
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September 9, 2025 Squad Session Invitation Only Virtual polish

Talenty w akcji: sekrety pozyskiwania i rozwoju w CIRF

Utrzymanie talentów w organizacji IT ulokowanej na konkurencyjnym rynku pracy to nie lada zadanie. A jeśli do tego mówimy o organizacji z sektora publicznego? O swoich i swojej organizacji doświadczeniach, metodach i programach opowie Anna Wituła z CIRF. Będzie to jak zawsze okazja do dyskusji na temat różnych sposobów na utrzymanie talentów w firmie.

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September 9, 2025 Squad Session Squad Only Physical english

Fixing the Data Foundations ; Making data trustworthy, consistent, and ready for action

As Belgium tackles GDPR and data sovereignty rules, organizations face challenges and opportunities in cross-border data management. Balancing compliance with growth raises key questions: How can companies protect and control their data while staying compliant—without blocking innovation and expansion across industries?

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September 11, 2025 Squad Session Invitation Only Virtual polish

(Nie)bezpieczny łańcuch dostaw OT: co powinien wiedzieć dział IT

W fabrykach cyberbezpieczeństwo często zależy od podwykonawców – integratorów, dostawców systemów automatyki i firm serwisowych, które mają zaskakująco szeroki dostęp do infrastruktury OT. W tej prezentacji Igor Zbyryt z BZK pokaże, jak z perspektywy końcowego użytkownika i integratora wygląda współpraca z tymi firmami oraz jakie realne ryzyka to niesie – również w kontekście NIS2. Zamiast wyliczać różnice między IT a OT, skupi się na wspólnym mianowniku i tym, co trzeba zmienić w podejściu organizacji, żeby cyber w produkcji zaczęło działać.

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CIONET Partner Updates

CIONET Partner Updates

Recent Cases

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Workday Accelerates Generative AI & ML Product Development Using Amazon SageMaker

Learn how Workday fuels engineering productivity by using Amazon SageMaker.

Aligns

with customers’ data residency requirements

Scales to millions

of inference requests

Streamlines

engineering workflows

5x latency

improvement for ML inference

 

Overview

Workday Inc. (Workday), a leading provider of solutions that help organizations manage their people and money, is highly focused on putting its engineering effort toward developing products that have built-in artificial intelligence (AI) capabilities. To help free its engineers from infrastructure maintenance, Workday adopted Amazon SageMaker, a fully managed service that helps its teams build, train, and deploy machine learning (ML) models for any use case. By using AWS services, Workday’s engineering teams can rapidly iterate and deploy complex models, including large language models (LLMs), to production.

 

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Opportunity | Using AWS Regions to Meet Data Residency Requirements for Workday’s Global Customers

Workday offers software solutions that help its customers make accurate decisions and drive performance across human resources planning, financial planning, supply chain management, and other areas of their operations. For years, Workday has been investing in AI to help its customers make the most of their operational data with AI/ML-driven insights. “We consider ML a core backend technology for Workday,” says Shane Luke, head of Workday AI. “Our goal is to make AI-based solutions that provide our customers with real value.”

Because the company serves a global customer base, Workday needs to run its ML inference in alignment with its customers’ data residency requirements. “We have customers who are very sensitive,” says Luke. “We came to the realization that we needed a federated, distributed system that could run in many regions.” While building out a backend for its ML, the company wanted to avoid investing in its own regional private clouds.

Workday’s teams found that they can run their workloads in the AWS Region of their choice, which has supported the company’s business growth. “Our global expansion has been done on AWS,” says Luke. “It really has been a key point for us. We can deliver regionality to customers based in Europe, the Middle East, and Asia. For us, that’s been a major win.”

“Using AWS, we’ve gone from scaling to a thousand inference requests to tens of millions that are coming in daily,” says Luke. “It’s been very rewarding to see.” Further, the company has been able to scale with virtually no downtime.

 

 

kr_quotemark

Using AWS, we’ve gone from scaling to a thousand inference requests to tens of millions that are coming in daily. It’s been very rewarding to see.”

Shane Luke
Head of Workday AI

 

Solution | Improving Inference Latency by Five Times Using Amazon SageMaker

For its generative AI use cases, Workday uses Amazon SageMaker to simplify searching, evaluating, customizing, and deploying LLMs. “Workday has been an early adopter of LLMs, and we are actively building new generative AI capabilities that will help our customers increase productivity, grow, retain talent, streamline business processes, and drive better decision-making,” says Eddie Raffaele, vice president of Workday AI. “Workday can quickly tap into the power of generative AI and realize its value by bringing the best solutions to customers safely and responsibly.”

To support collaboration across its global teams, Workday provides its engineers access to Amazon SageMaker Studio, a web-based, integrated development environment for ML. Workday’s engineers can then compare and evaluate new foundation models by using Amazon SageMaker Jumpstart, an ML hub with foundation models, built-in algorithms, and prebuilt ML solutions. “For tasks such as creating job descriptions, which must be high quality, we use the model evaluation capability in Amazon SageMaker and select the best foundation model that reflects our company’s priorities and metrics in a responsible way,” says Luke.

Workday’s engineering team has also adopted Amazon SageMaker Ground Truth Plus, which applies human feedback across the ML lifecycle to create and evaluate high-quality models. The team has used this solution across eight labeling use cases, including named entity recognition, entity linking, sentiment and theme analysis, and more. “There’s a lot of labeling and annotating that is needed to manage our LLM outputs and receive high-quality data within our guaranteed SLAs,” says Luke. “Amazon SageMaker Ground Truth Plus has become an intrinsic part of our LLMs.”

Next, its engineers can fine-tune their LLMs with high-quality data by using Amazon SageMaker Notebook Instances to prepare and process the data to train their LLM models. Workday’s engineers then deploy their models for inference to achieve optimal performance and costs while reducing operational burden. For example, Workday used Amazon SageMaker to pilot a closed-book ML application that could analyze job descriptions, invoices, and contracts. During this pilot, Workday saw its ML inference latency improve by a factor of five.

Workday also uses LLMs to power friendly, personalized reminders that help its customers stay on track with their project and organizational goals. “There are more than 13,000 tasks available through Workday,” says Luke. “We’ve built and trained an ML model for a tenant that delivers the three top task recommendations based on the user’s activity.” With these tools at their fingertips, Workday’s customers can maximize their operational efficiency and prioritize projects with data-driven insights.

 

Outcome | Experimenting with Generative AI Using Amazon Bedrock

Workday received early access to Amazon Bedrock, a service that provides the simplest way to build and scale generative AI applications with foundation models. Workday uses Amazon Bedrock to facilitate product prototyping and test multibillion-parameter ML models. “We’re able to rapidly experiment and identify which AI capabilities we should invest in and put in front of our customers,” says Luke.

The Workday team is also working toward immediate deployment of new features for its customers instead of rolling out features one region at a time. “We’re pleased with the flexibility that AWS has given us,” says Luke. “We can deliver value to our customers and scale horizontally.”

 

About Workday

More than 10,000 organizations worldwide rely on Workday to manage their most valuable assets—people and money. Workday provides customers with efficient financial and human resources solutions that help facilitate decision-making and performance.

Partners

CIONET Circles

CIONET Business Circles

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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?

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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.

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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 !

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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.

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Team

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CEO
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Contact us

Would you like to know more about CIONET Belgium, membership or partnership opportunities? Do you have feedback or any other question? Send us a message!