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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AI21 Labs Collaborates with Google Cloud to Integrate Generative AI Capabilities with BigQuery
AI21 Labs is using Google Cloud infrastructure to speed its model training and inferencing.
Leading AI research startup, running on Google Cloud's AI/ML infrastructure, to bring industry-specific generative AI capabilities to BigQuery
SUNNYVALE, Calif., Aug. 29, 2023 /PRNewswire/ -- Google Cloud today announced a new collaboration with AI21 Labs, an Israeli startup that fundamentally changes the way people read and write using generative AI and large language models (LLMs). AI21 Labs is leveraging Google Cloud's purpose-built AI/ML infrastructure to speed its model training and inferencing, and is also one of the first partners to offer generative AI features on top of BigQuery.
As a result of AI21 Labs' and Google Cloud's collaboration, customers can now use BigQuery connectors and functions to natively integrate several industry-specific generative AI capabilities. For example, retail customers can now use generative task-specific APIs for creating product descriptions or extracting insights from customer reviews, while financial services companies could use them to quickly analyze reports.
AI21 Labs has deployed Google Cloud's home-grown AI supercomputers, Tensor Processor Units (TPUs), for training and serving its advanced LLMs. By leveraging Google Cloud TPUs, AI21 Labs can take advantage of the same custom-designed, machine-learning infrastructure that powers many Google products. In combination with Cloud TPUs, AI21 Labs also benefits from Google Cloud's extensive portfolio of GPU VMs, including the recently announced A3 VMs powered by NVIDIA H100 GPUs. Google Cloud's open approach to AI development and leadership in custom silicon equips AI21 Labs with a more seamless experience rooted in its scalable, secure, and stable infrastructure.
"Google Cloud's vast portfolio of impressive AI hardware is why we chose to work with the company, and we're proud to now double down on expanding our generative AI solutions alongside them," said Ori Goshen, Co-CEO and co-founder, AI21 Labs. "Our partnership with Google Cloud has had a profound effect on our work to advance the possibilities of artificial intelligence and natural language processing, and today's news of our deepened collaboration marks an important step forward in that journey."
"AI21 Labs is a leading generative AI startup that is taking advantage of the incredible performance that Google Cloud's leading infrastructure offers," said Thomas Kurian, CEO, Google Cloud. "Our new BigQuery integrations are a great example of how we are working together to bring the value of generative AI to businesses in every industry."
To explore LLM-based capabilities from AI21 Labs, visit its website. To learn more about the AI/ML infrastructure powering AI21 Labs, visit cloud.google.com/tpu.
Additional Resources
About Google Cloud
Google Cloud accelerates every organization's ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google's cutting-edge technology, and tools that help developers build more sustainably. 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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