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Belgium 20-10-2026 Squad Only Virtual English
Cloud decisions are becoming more selective. The challenge is deciding where each workload should run based on cost, performance, control, resilience, sovereignty, and business need. Three pressure points usually drive the decision. - Cost visibility becomes harder when usage grows across cloud services, data platforms, and AI workloads. - Performance and latency matter more when systems need fast access to data or support operational processes. - Sovereignty and resilience become critical when data location, continuity, vendor dependency, and exit options enter the discussion. The working question is simple: how do we place workloads where they create the most value while keeping the hybrid landscape manageable? If these trade-offs are on your agenda, let’s compare how others are handling similar choices.
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Belgium 10-11-2026 Squad Only Virtual English
Data platforms are meant to simplify access and support better use of data. The challenge is choosing and governing the platform landscape in a way that creates consistency, reuse, and long-term value. Three pressure points usually appear. - Platform choice becomes difficult when teams have different needs for speed, flexibility, cost, and control. - Business meaning needs protection: customer, revenue, product, risk, and FTE need shared definitions across tools. - Ownership and governance need to be clear, so platforms grow with accountability and discipline. The working question is simple: how do we give teams the data capabilities they need while keeping the platform landscape understandable, governed, and reusable? If these questions are familiar, let’s compare approaches with others facing the same data landscape.
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Belgium 13-11-2026 Squad Only Physical English
Many IT capabilities are essential and difficult to fund through a simple project ROI. The challenge is showing why architecture, governance, resilience, cybersecurity maturity, data foundations, and AI readiness deserve investment before the gap becomes expensive. Three pressure points make the case harder. - Shared value means the benefit often sits across several teams, while the budget sits in one place. - Timing creates friction because the cost is immediate while the value appears over time. - Risk translation is needed so business and finance leaders understand the consequence of delaying the investment. The working question is simple: how do we turn foundational IT capabilities into credible investment cases that link cost, risk, business value, and future flexibility? If you are building these cases internally, let’s compare how others are positioning value, risk, and timing.
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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
GPT-4 deepens the conversation on Duolingo.
“Artificial intelligence has always been a huge part of our strategy,” says principal product manager Edwin Bodge. “We had been using it for personalizing lessons and running Duolingo English Tests. But there were gaps in a learner’s journey that we wanted to fill: conversation practice, and contextual feedback on mistakes.”

Over 50 million learners rely on Duolingo every month to teach them a second language. With a simple user interface and fun-but-competitive leaderboards, Duolingo supports 40 languages across 100+ courses. Learners advance from simple vocabulary exercises to complicated sentence structures with taps and swipes on their phone.
If a learner wants to advance beyond basic proficiency, it’s helpful to understand the rules of grammar. But true proficiency in a language requires conversation, ideally with a native speaker, something not everyone has access to.
“Artificial intelligence has always been a huge part of our strategy,” says principal product manager Edwin Bodge. “We had been using it for personalizing lessons and running Duolingo English Tests. But there were gaps in a learner’s journey that we wanted to fill: conversation practice, and contextual feedback on mistakes.”

Duolingo turned to OpenAI’s GPT-4 to advance the product with two new features: Role Play, an AI conversation partner, and Explain my Answer, which breaks down the rules when you make a mistake, in a new subscription tier called Duolingo Max.
“We wanted AI-powered features that were deeply integrated into the app and leveraged the gamified aspect of Duolingo that our learners love,” says Bodge.
Duolingo engineers had tried using GPT-3 to supplement some of the human-powered features in its earlier chat feature. “It was close to being ready,” said lead engineer Bill Peterson, “but we didn’t feel it was at the point where we could confidently integrate it to handle the complex automated aspects of chats.”
Previously, Duolingo attempted to “chat” with learners through scripted conversations incorporating classic scenarios like ordering food, meeting someone for the first time, or buying a plane ticket. But Bodge says what Duolingo needed was the ability to converse with learners in niche contexts and “immersively”—to have a free-flowing conversation about basketball or the bliss of reaching the top of a mountain. GPT-4 has learned from enough public data to create a flexible back and forth for the learner.

There is a best practice in language learning called “implicit learning.” Learning through repeated use of vocabulary and grammar in an array of contexts—in other words, through practice—is more effective than memorizing rules. This posed an interesting challenge to Duolingo.
Many of Duolingo’s learners want to learn the explicit rules, and the company has tried to teach them with both pre-written Grammar Tips and artificial intelligence. Even with GPT-3, the implementation was difficult. Teaching grammar requires a specific understanding of the error and why a learner made it. One incorrect term in the explanation could teach the concept incorrectly or leave the user confused and dissatisfied.
“GPT-4 gives us far more confidence in the accuracy of AI responses in Explain my Answer,” says Peterson.
With the new features, earners will be able to click “Explain my answer”, and GPT-4 will give an initial response. From there, the learner can return to the lesson, or get further explanation, and GPT-4 can dynamically update. Duolingo will gauge the quality of GPT-4’s responses by how deep the learner needs to go before returning to the lesson.

The team sees the potential with GPT-4 to provide a more effective and engaging learning experience than ever before, which should improve learning outcomes. In addition, Peterson says the ease of experimenting with GPT-4 has simplified the entire engineering process.
“Within a day we were able to build a prototype that convinced us this was something we wanted to explore more. It gets us from zero-to-ninety-five percent very quickly. Then we can work manually, hand tuning data to get the last five percent,” he says.
Now his team focuses more on testing and honing data sets.
Duolingo Max is available to users today. For now, Duolingo is using these new features in Spanish and French, with plans to expand to more languages and introduce new features that will keep them at the forefront of language learning.
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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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