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Belgium 9-6-26 Invitation Only Virtual english
Data availability keeps growing, but decision-making often feels slower. Every function builds its own dashboards, metrics multiply, and reports begin to contradict each other. What was meant to improve transparency now creates confusion. The problem is not access to data but alignment on interpretation. When information becomes noise, confidence in reporting collapses. People hesitate to act, functions challenge each other’s numbers, and trust in analytics erodes. The challenge lies in restoring clarity: deciding which metrics matter, who owns them, and how reporting connects back to action. Let’s discuss how to simplify information flows, define consistent metrics, and reconnect dashboards with decision-making. How ownership, cadence, and shared understanding bring alignment back. A closed conversation on rebuilding confidence in data, where clarity replaces overload and information once again supports action.
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Belgium 10-6-26 Invitation Only Physical english
In the middle of the night, 200 miles from the coast, the alarm sounds. The "Man Overboard" cry isn't just about a person in the water; it’s the ultimate test of a crew’s preparation, psychological grit, and split-second communication. For the modern European CIO, the "Man Overboard" moment happens in the data centre, the boardroom, or the headlines. When the system fails, the pressure doesn't just sit on the servers; it sits on you. Join CIONET for an exclusive VIP evening at the coast, a deep dive into the Human and Digital Anatomy of a Crisis. We will explore why some leaders thrive under the crushing weight of a "Black Swan" event while others capsize, and how data serves as the steady keel that keeps the ship upright.
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Belgium 12-6-26 Invitation Only Physical english
AI started small: a few pilots, some dashboards, a couple of chatbots. But then it spread, quickly. Now every department wants a model, every vendor adds “AI-powered” to their pitch, and every regulator is asking about risk and transparency. Governance suddenly went from a nice idea to a full-time job. Scaling governance is harder than launching AI. Policies look great on slides, but in practice, ownership blurs and enforcement stalls. Central control slows things down, while local freedom invites risk. Everyone agrees AI should be safe and ethical, but no one agrees on who signs off when something goes wrong, all leading to AIs living as permanent PoCs. So how do you scale oversight without creating bureaucracy? How do you distribute responsibility between IT, business, and compliance? And what controls actually hold up when AI keeps changing after deployment? Let’s explore how organisations make governance part of daily operations, not an afterthought. A closed conversation for those trying to keep AI credible, compliant, and under control while it spreads across the enterprise.
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June 9, 2026 Squad Session Invitation Only Virtual english
Data availability keeps growing, but decision-making often feels slower. Every function builds its own dashboards, metrics multiply, and reports begin to contradict each other. What was meant to improve transparency now creates confusion. The problem is not access to data but alignment on interpretation.
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June 12, 2026 Squad Session Invitation Only Physical english
AI started small: a few pilots, some dashboards, a couple of chatbots. But then it spread, quickly. Now every department wants a model, every vendor adds “AI-powered” to their pitch, and every regulator is asking about risk and transparency. Governance suddenly went from a nice idea to a full-time job.
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June 18, 2026 Squad Session Invitation Only Physical english
Becoming event-driven sounds like the logical next step: real-time visibility, faster response, tighter integration. The promise is appealing, no? But turning that vision into reality is another story. Where do you start, with technology, operating model, or mindset?
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CIONET Trailblazer: CISO: The Shift from Prevention to Resilience: Turning Visibility into Execution
Published on: January 28, 2026 @ 9:48 AM
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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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.
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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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