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Welcome to CIONET Belgium

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Belgium 30-9-25 Squad Only Virtual english

Technical Debt: When to Pay It and When to Walk Away ; Making smart trade-offs between progress, maintenance, and risk

Everyone has technical debt. The question is what to do with it. Refactor now? Wait for the next feature? Build on it and hope it holds? If you’re tired of debating whether to clean up or move on, this session helps you frame the debt conversation in a way that supports both speed and stability.

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Belgium 1-10-25 Invitation Only Physical english

Telenet Business Leadership Circle - Legacy & Lifecycle Management

In today’s rapidly evolving technological landscape, organisations face a critical challenge: how to modernise their legacy systems while managing costs, maintaining security, and ensuring operational continuity. This exclusive round table discussion brings together CIOs, CTOs, and Digital Leaders to explore best practices for legacy and lifecycle management. Key topics include extending the lifespan of existing systems, mitigating cyber security risks, optimising costs, and integrating legacy platforms with modern technologies. We’ll also delve into sustainability, workforce challenges, and future-proofing IT infrastructures to navigate technological obsolescence.

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Belgium 2-10-25 Squad Only Virtual english

The Career Path of the Architect ;Great architecture begins with great architects

Architecture doesn’t happen in diagrams. It happens in minds, seasoned, curious, sharp minds that understand how the pieces fit. But who’s shaping these minds? Who’s growing the next generation of digital architects? If you’re responsible for complex systems, and for the people designing them, this session is for you.

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Upcoming TRIBE Events

 
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September 30, 2025 Squad Session Squad Only Virtual english

Technical Debt: When to Pay It and When to Walk Away ; Making smart trade-offs between progress, maintenance, and risk

Everyone has technical debt. The question is what to do with it. Refactor now? Wait for the next feature? Build on it and hope it holds? If you’re tired of debating whether to clean up or move on, this session helps you frame the debt conversation in a way that supports both speed and stability.

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October 2, 2025 Squad Session Squad Only Virtual english

The Career Path of the Architect ;Great architecture begins with great architects

Architecture doesn’t happen in diagrams. It happens in minds, seasoned, curious, sharp minds that understand how the pieces fit. But who’s shaping these minds? Who’s growing the next generation of digital architects? If you’re responsible for complex systems, and for the people designing them, this session is for you.

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October 14, 2025 Squad Session Squad Only Virtual english

Agile Infrastructure ; How to build technical foundations that don’t slow you down

Agile delivery often collides with inflexible infrastructures. One team wants to release weekly. Another is waiting six months for a new test environment. Sounds familiar? If your infra team is tired of being the bottleneck, and your devs are tired of waiting, this session opens a path forward.

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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.

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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Luc Hendrikx
Partner - CEO
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Partner - CCO
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Daniel Eycken
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Tribe Master
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Programme Manager
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Programme Manager
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Charlotte Coen
Partner Success Manager
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Programme Manager
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