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Belgium 13-1-26 Squad Only Virtual english
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.
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Belgium 20-1-26 All Members Physical english
CIOs today are being judged less as technology leaders and more as portfolio managers. Every euro is under scrutiny. Boards and CFOs demand lower run costs, higher efficiency, and clear ROI from every digital initiative. Yet, they also expect CIOs to place bets on disruptive technologies that will keep the enterprise competitive in five years. This constant tension is redefining the role. In this session, we go beyond FinOps and cost reporting to tackle the strategic financial dilemmas CIOs face.
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Belgium 22-1-26 Invitation Only Virtual english
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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January 13, 2026 Squad Session Invitation Only Virtual english
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.
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January 22, 2026 Squad Session Invitation Only Virtual english
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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January 27, 2026 Squad Session Invitation Only Physical english
Zero Trust sounds simple on paper: trust no one, verify everything. But once you start implementing it, the fun begins. Legacy systems, hybrid networks, and human habits don’t read the manual. The idea is solid; the execution, not so much.
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CIONET Trailblazer: AI Transformation: Bridging the Cultural Divide to Achieve Competitive Advantage
Published on: December 17, 2025 @ 9:16 AM
Khan Academy explores the potential for GPT-4 in a limited pilot program.
“We think GPT-4 is opening up new frontiers in education. A lot of people have dreamed about this kind of technology for a long time. It’s transformative and we plan to proceed responsibly with testing to explore if it can be used effectively for learning and teaching.” Kristen DiCerbo, Chief Learning Officer, Khan Academy

Khan Academy is a nonprofit with a mission to provide a free, world-class education for anyone, anywhere. The organization offers thousands of lessons in math, science and the humanities for students of all ages.
But every student is unique, and their grasp of concepts and skills varies—by a lot. Some may breeze through a subject while others need step-by-step help. And when the COVID-19 pandemic disrupted countless education systems, that disparity for a lot of classrooms only deepened.
“It’s challenging to keep everyone advancing, given their different needs,” says Khan Academy’s Chief Learning Officer Kristen DiCerbo. “They’re all at different levels. They all have different gaps. They all need different things to move forward. That is a problem we’ve been trying to solve for a long time.”
Today Khan Academy is announcing that it will use GPT-4 to power Khanmigo(opens in a new window), an AI-powered assistant that functions as both a virtual tutor for students and a classroom assistant for teachers. The nonprofit began testing the newest version of OpenAI’s language model in 2022 and will initially make the Khanmigo pilot program available to a limited number of participants, though the public is invited to join the waitlist.

“We think GPT-4 is opening up new frontiers in education,” says DiCerbo. “A lot of people have dreamed about this kind of technology for a long time. It’s transformative and we plan to proceed responsibly with testing to explore if it can be used effectively for learning and teaching.”
Khan Academy is running Khanmigo as a pilot to explore AI responsibly. Early participants will be watching for errors, especially in math questions, and flagging them for correction.
One of GPT-4’s chief capabilities is being able to understand freeform questions and prompts. That ability—to have a human-like back and forth—provides Khan Academy with perhaps the most key capability: asking each student individualized questions to prompt deeper learning.

“One of the things we and all educational technology companies struggle with is how to get students thinking deeply about the content that they’re learning,” DiCerbo says. “To think about questions like, ‘Why did you answer that way? Why do you think that's true? What would happen if—?’ So we’re making sure students aren't just understanding how to do the problem, but really understanding the concepts behind them.”
Early testing by Khan Academy indicates that GPT-4 may soon be able to help students contextualize the greater relevance of what they’re studying or teach specific points of computer programming.
“These were all things we were thinking about deeply and then GPT-4 showed up,” says director of engineering, Shawn Jansepar. “We see this technology as a potential way to accelerate our roadmap of building more tutor-like abilities into our platform within the next few years, while also providing capabilities we had only dreamed of before. Without a really powerful large-language model, these ideas weren’t feasible, but now we think we can make real progress.”
Adapting GPT-4 for teachers is also top of mind for Khan Academy. The nonprofit is testing out ways teachers could use GPT-4, such as writing classroom prompts or creating instructional materials for lessons.
“What’s even more exciting is the potential to help teachers tailor learning for every student quickly and easily,” said director of program and product management, Ricky Chandarana. “We think teachers could use GPT-4 to get a snapshot of how every student in their class is doing on Khan Academy on any given day. We’re going to test out that feature in the very near future.”

“How often do students say, ‘Why should I learn this? Why should I even care?’” DiCerbo says. “And just in our early testing in putting GPT-4 in front of them, they're asking those questions. And GPT-4 is answering specifically for them, so a student can say, ‘Hey I'm interested in X-kinds of things’ and GPT-4 can provide them with that specific motivation.”
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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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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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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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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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You can either send us a registered handwritten letter explaining why you'd like to become a member or you can simply talk to us right here!