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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.
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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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Belgium 27-1-26 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. In the end, Zero Trust is less about technology and more about design, culture, and patience. And when identity becomes the new perimeter, segmentation turns political, and exceptions multiply until the model looks more like “some trust, most of the time.” It’s progress, but not quite the revolution everyone expected. So how do you make Zero Trust work in real environments full of dependencies, vendors, and legacy constraints? Is it even possible? How do you balance usability with control, and what metrics actually prove progress? Let’s unpack what it takes to move beyond PowerPoint strategy and get Zero Trust working across systems and people that weren’t built for it. A closed conversation for those who’ve learned that Zero Trust is less about zero and more about trust that’s earned, not assumed.
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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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January 29, 2026 Squad Session Invitation Only Virtual english
The role of the data leader used to be clear: build platforms, deliver dashboards, report insights. But now data sits everywhere, in AI, in decisions, in strategy, and suddenly every conversation ends with “What does the data say?”. The responsibility has outgrown the job description.
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CIONET Trailblazer: AI Transformation: Bridging the Cultural Divide to Achieve Competitive Advantage
Published on: December 17, 2025 @ 9:16 AM
Applying AI to help students find a career path they love
Working Eye is a startup headquartered in the UK that has turned traditional careers advice into a personalized AI-driven discovery experience using interactive cognitive technology and multimedia to help every pupil, student and working adult make better career decisions in the ever-evolving world of work.
When and how did you choose your career? Did you ever doubt whether you’d selected the right path?
“I’ve raised four children and guided each of them through subject selection at school, as well as further education, and job selection. Each time I observed the same challenges: they received minimal career guidance in school and there was no single source of knowledge to help them explore career paths that were unfamiliar to me personally,” explains Peter Cayless, Founder and CEO of Working Eye.
Cayless found that the existing guidance available to students was too broad-brushed and it came too late in the subject selection process. Students did not have a way to explore their options independently and thoroughly early on in their journey. In fact, studies have shown that 96% of graduates switch careers by the age of 24 and half of all graduates follow a career path that does not relate to their degree (source: New College of the Humanities [link resides outside of ibm.com]). In both cases, the main reason given was that they had little idea of what was really involved in the job before they took it. This led Cayless to launch Working Eye (link resides outside of ibm.com), an AI-driven career discovery platform that aims to inspire people by helping them discover themselves and all the possibilities for a career they will love.
Working Eye’s career discovery platform (link resides outside of ibm.com) is designed to be a digital coach that facilitates a student’s career exploration process. The assistant poses discovery questions to the student in natural language and then guides them on a highly unique exploration process that helps them identify a potential career path that is tailored to their specific needs, strengths and priorities. As the assistant guides the student through this dialogue process, it presents various pieces of written and video content which help the student better understand the career that is best suited to them and shows them how to get started on that path. All of this is powered by IBM technology. “IBM watsonx Assistant is the backbone of the chat between the user and the platform, while IBM Watson Discovery is the backbone of finding the right material, collating it for the student,” says Alan Joenn, Chief Operating Officer of Working Eye. The platform’s primary source of data is a government website called the National Career Service Database, as well as the video content created by the Working Eye team.
During its initial pilot of the platform, the Working Eye team tested the digital coach with approximately 1,500 students, parents and teachers. The platform received a 100% approval rating in school panels and 48% parental uptake. “We like to refer to Working Eye as a hand to hold throughout your working life. It is a beautiful example of how AI can work for good. AI isn’t necessarily going to take your job. It has the potential to help you get the job you want,” adds Cayless.
We like to refer to Working Eye as a hand to hold throughout your working life. It is a beautiful example of how AI can work for good. AI isn’t necessarily going to take your job. It has the potential to help you get the job you want. ”
Working Eye is a startup headquartered in the UK that has turned traditional careers advice into a personalized AI-driven discovery experience using interactive cognitive technology and multimedia to help every pupil, student and working adult make better career decisions in the ever-evolving world of wor
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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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