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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
Boeing CIO Susan Doniz leads with curiosity and empathy
The aerospace giant’s IT chief takes a hands-on, people-centric approach to learning and transforming the business, seeking to inspire her IT teams to be the life-long learners necessary to thrive today.
Susan Doniz always knew she wanted to be in a “very people-oriented” career.
Initially drawn to medicine, Doniz found that in IT, starting with a 17-year stint working her way up the technology ranks at Procter & Gamble before becoming group CIO of Qantas Airways and later joining Boeing, where she currently serves as CIO, data analytics officer, and senior vice president of IT and data analytics.
That success in IT leadership she attributes largely to a strong sense of curiosity cultivated while growing up in Spain and living throughout Latin America.
Her curiosity — and affinity for design thinking — is driven by a desire to “truly understand things and the way they work,” she says, rather than just taking someone else’s word for it.
To that end, Doniz jumped into her role at Boeing by gaining hands-on experience in the factory so she could fully understand the multinational aerospace manufacturer’s business. Today, she works closely with IT interns who are “in front of everything every single day” as part of her commitment to spend time with not only other leaders and executives but also employees, interns, and others throughout IT and the organization at large.
Moreover, connecting with people, finding out what motivates them, what their aspirations are, Doniz works hard to put herself “in their shoes,” something she says is particularly important as you climb the leadership ladder, because “the more senior you become, the more obfuscated what’s really happening becomes to you, because things go through so many layers.
At Boeing, Doniz takes a product-based approach to IT, in which employees aren’t simply assigned projects and told exactly what to do, but focus on “the outcomes and the business processes that they support,” she says, adding that the product model empowers employees to feel ownership over their work, which is more engaging than just being assigned tasks with no context or goals surrounding them.
“Giving people not just the tools, but the ability to make the decisions that they want to make, and to take away the bureaucracy, or any non-value-added work that gets in their way, is really what motivates them,” she says. “Allowing people to do their best work or giving them autonomy and decision-making rights is so important, because people will leave if they can’t do the work.”That emphasis on job satisfaction and talent retention at Boeing is further enforced by a strong focus on training and career development. Investing in management training to ensure managers are equipped to lead effectively is a key emphasis for Doniz, who also acknowledges that management isn’t the path for everyone. For those who want to remain on a technical track, Boeing offers clear pathways to alternative career trajectories to ensure employees can grow their careers without having to make the shift to management.
The company’s Technical Fellowship program helps to foster the skills of Boeing’s technical workers. The program includes three main levels: Associate Technical Fellow, Technical Fellow, and Senior Technical Fellow, which is a director-level position. But employees can also advance to Principal Senior Technical Fellow, a senior director role, and Distinguished Senior Technical Fellow, at the vice president level.
This alternate advancement path allows Boeing to retain top talent and subject matter experts without the risk of losing them to other corporations in the name of career growth. And in the aerospace industry, subject matter experts are uniquely critical to the success of the business.
“We need experts that are deep experts in AI, data analytics, and cloud. In order to launch things into outer space, and to look at the data that we have coming off from an aircraft — which is literally terabytes of data — you need some pretty heavy-duty technical skills. Those people might not want to be management, and that’s okay,” says Doniz.
The two-career path approach helps Boeing “empower [employees] to do their best work” and contribute to the overall mission of the company while reducing churn, Doniz says.
In leading Boeing IT and data analytics, Doniz believes translating her love of learning into an organization-wide culture of curiosity is vital for navigating the rapid pace of change in technology — and technology adoption — today. Doniz points to the adoption rates of past technologies, noting how the iPhone was adopted faster than the television, and compares that to current technologies such as generative AI, which was adopted even faster.
“We live in a world full of change,” says Doniz, and that requires technologists to be agile, curious, and life-long learners. “You have to be very adaptable, and pivot very quickly.”
Change isn’t a “one act show,” Doniz adds, emphasizing that those in the IT industry must remain committed to life-long learning, because “you have to constantly be learning new things.”
“I’m constantly reskilling myself and upskilling myself,” she says, “learning about new technologies, working with peers, going to conferences, seeing what people have out there, and being inspired by other businesses and what they’ve done.”
That commitment to life-long learning is an ethos that needs to be encouraged and supported through the entire organization, Doniz says, which means having the right resources in place to support and motivate the natural curiosity of employees.
“We need to provide the means where they can invest, and I’ve never seen a company that allows you to invest so much in learning — you can study anything and Boeing will support you on it,” she says.
That also means giving employees opportunities to gain new experiences on the job by putting engaged and motivated employees into reach roles, which helps grow their skills and confidence, while helping the organization keep pace with technology and skills demand.
“I’m sure you can’t find anybody that has two years of generative AI experience because there’s not a lot of people that have that. So we have to lean forward,” Doniz says. “For people who have shown that they’re curious, and can deliver, and can learn, then we make sure that we’re giving them new opportunities. And I think that’s so important, to take chances and to give people opportunities to show what they can do in new areas of technology, because that’s how you learn — through doing."
For Doniz, the keys to inspiring a workforce is to genuinely care about the individual satisfaction and happiness of each employee, and to be invested in the organization’s overall success as well.
“I really want people to be successful and so putting people in the middle of everything and understanding what motivates them, and being genuinely curious and genuinely caring, which sometimes means giving them the hard messages, but in a way that is caring, I think is what helps me connect but also to be successful with my teams as well,” she says.
Growing up, Doniz never considered a career in technology and knows that there are many people who feel they “don’t have the skills or grew up in a place where they didn’t have the resources to learn” about technology. But she believes that technology is more than “being curious about how a computer works”; it’s “really about people.” “I would just encourage more people to consider careers in technology, because you can’t be a good technologist without being very interested in every process from finance, to marketing, to manufacturing, and I feel like I’ve been able to almost do every single career because I support technology. And I might not have thought of that as a girl growing up.”
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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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