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
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Anthropic trains LLMs and powers their language model assistant with Google Cloud infrastructure.
Anthropic Forges Partnership With Google Cloud to Help Deliver Reliable and Responsible AI
Leading AI startup leverages the power of Google Cloud TPUs and GPUs to accelerate safe, cutting-edge AI
SUNNYVALE, Calif., Feb. 3, 2023 /PRNewswire/ -- Google Cloud today announced a new partnership with Anthropic, an AI startup focused on safety and research. Anthropic has selected Google Cloud as its preferred cloud provider, giving it the compute power necessary to build reliable and trustworthy AI systems. Additionally, Google Cloud intends to build large-scale, next-generation TPU and GPU clusters that Anthropic plans to use to train and deploy its cutting-edge AI systems.
"We're thrilled to be able to partner with Google Cloud on training and deploying useful AI systems," said Anthropic CEO Dario Amodei. "We've been impressed with Google Cloud's open and flexible infrastructure. We are excited to partner with Google to scale-up our systems in the coming months."
Anthropic selected Google Cloud to benefit from the company's deep expertise in large-scale systems for machine learning, and as a partner with shared values around safe and beneficial development of AI. By leveraging Google's custom-developed machine learning systems designed to run computationally-intensive workloads, Anthropic will continue to conduct breakthrough AI research on the same infrastructure that powers Google Search and YouTube.
"At Google, we believe it is imperative to pursue AI boldly and responsibly," said James Manyika, SVP of Technology and Society, Google. "We are committed to developing and delivering useful and beneficial applications, applying responsible principles grounded in human values and safety, and evolving our approaches as we learn from research, experience, users, and the wider community. Our partnership with Anthropic is aligned with that philosophy."
"AI has evolved from academic research to become one of the biggest drivers of technological change, creating new opportunities for growth and improved services across all industries," said Thomas Kurian, CEO, Google Cloud. "Google Cloud is providing open infrastructure for the next generation of AI startups, and our partnership with Anthropic is a great example of how we're helping users and businesses tap into the power of reliable and responsible AI."
Anthropic was founded in January 2021 by the team behind AI breakthroughs such as GPT-3 and Reinforcement Learning from Human Feedback (RLHF). Since its founding, Anthropic has published 14 research papers showing how to build language models that are reliable and controllable.
In 2023, Anthropic began deploying its technology publicly, starting off with a language model assistant named Claude. Anthropic is working with a broad range of early partners on deploying Claude and will be expanding access to the assistant in the coming months. Claude pairs RLHF with a variety of safety techniques built by Anthropic to make AI systems that are predictable, steerable, and easier to interpret. Claude runs on Google Cloud as will other systems developed by Anthropic.
Additional Resources
About Google Cloud
Google Cloud accelerates every organization's ability to digitally transform its business. We deliver enterprise-grade solutions that leverage Google's cutting-edge technology – all on the cleanest cloud in the industry. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.
SOURCE Google Cloud
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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