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Belgium 10-3-26 All Members Physical english

The Composable Enterprise: Engineered with AI

From modular business design to AI-driven pipelines, architectures, and operationsA composable enterprise is built on modular processes, API-driven ecosystems, low-code platforms, and cloud-native services. It promises speed and adaptability by allowing organisations to reconfigure their capabilities as conditions change. However, modular design alone does not guarantee resilience; the way these systems are engineered and operated is just as important.This is where AI is beginning to make a difference. Beyond generating snippets of code, AI is already influencing how entire systems are developed and run: accelerating CI/CD pipelines, improving test coverage, optimising Infrastructure-as-Code, sharpening observability, and even shaping architectural decisions. These changes directly affect how quickly new business components can be deployed, connected, and retired.In this session, we will examine how CIOs can bring these two movements together:Composable design is the framework for flexibility and modularity.AI-augmented engineering is the force that delivers the speed, quality, and intelligence needed to sustain it.The pitfalls of treating them in isolation: composability that collapses under slow engineering cycles, or AI that only adds complexity without a modular structure.The discussion goes beyond concepts to practical implications: how to architect organisations that can be recomposed at speed, without losing control or reliability. The outcome is an enterprise that is not only modular in design but also engineered to adapt continuously under real-world conditions.

Belgium 12-3-26 Physical english

The Third-Party Risk Reckoning: How far can you trust your vendors?

Tomato! Tomato! Tomato! Get your tomato now! Every vendor sells security. And every company depends on vendors, partners, and suppliers. The more digital the business becomes, the longer that list grows, and so does the attack surface. One weak link, and there is always one, or one missed update, and trust collapses faster than any firewall can react. What used to be a procurement checklist has become a full-time discipline. Questionnaires, audits, and endless documentation prove that everyone’s “compliant,” yet incidents keep happening. So it’s clear: the issue isn’t lack of policy, or maybe a bit, but mostly lack of visibility. Beyond a certain point, even the most secure organisation is only as safe as its least prepared partner (or an employee who hadn’t had their morning coffee). So how far can you trust your vendors? How do you check what you can’t control? And when does assurance become theatre instead of protection? Does it come at a different cost? Let’s exchange what works and what fails in third-party risk management: live monitoring, shared responsibility models, contractual levers, and the reality of building trust in a chain you don’t own. A closed conversation for those redefining what partnership means when risk is shared but accountability isn’t.

Belgium 19-3-26 Country Members Physical french

Vendor Detox: La consolidation vaut-elle le risque ?

Moins de Partenaires : La consolidation vaut-elle le risque ? Le problème est la prolifération des fournisseurs : trop d'outils causant de la complexité, une taxe d'intégration paralysante et de la redondance. La Taxe d'Intégration est le coût caché (en temps, en échecs et en ressources) d'essayer de faire fonctionner ensemble des systèmes disparates. Cet échange se concentre sur des stratégies éprouvées pour simplifier de manière agressive le parc technologique, consolider les fournisseurs et élever certains fournisseurs clés au rang de partenaires stratégiques.

March 12, 2026 Squad Session Invitation Only Physical english

The Third-Party Risk Reckoning: How far can you trust your vendors?

March 24, 2026 Squad Session Invitation Only Physical english

Killing Zombie Projects: Knowing when to stop, restart, or quietly let go

Every organisation has them, projects that keep running long after their purpose has faded. No one remembers who asked for them, but shutting them down feels riskier than keeping them alive. And eventually, people stay assigned, budgets stay allocated, and energy drains into work that no longer matters. Inertia at its finest.

March 26, 2026 Squad Session Invitation Only Physical english

Measuring Value in AI Initiatives: Defining ROI, accountability, and measurable outcomes in complex environments

AI projects continue to multiply, but proving their value remains difficult. Most organisations can track activity, not impact. Dashboards count pilots and models, yet few translate to measurable business outcomes. The result is familiar: success stories without clarity on what they actually delivered.

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Airbnb Optimizes Usage and Costs by Using Savings Plans and Actionable Cost Data on AWS

To help it achieve its goals, Airbnb looked to Amazon Web Services (AWS), its cloud provider, for data and infrastructure solutions. Using support from AWS and multiple AWS services, Airbnb developed strategies to manage capacity, optimize storage and compute capacity, and build a custom cost and usage data tool. The solutions help Airbnb reduce costs, deliver actionable business metrics, and pursue data-informed efficiency projects across its teams.

Opportunity | Architecting Cost Efficiency to Grow Sustainably

Airbnb’s journey to facilitating connection and community through travel began in 2007 when its first two hosts—and founders—welcomed three guests to their San Francisco home. Since then, the company’s hosts have welcomed over one billion total guest arrivals, with listings across more than 220 countries and regions.

From its early days as a company, Airbnb has powered its business using cloud services from AWS—a strategy that supports its rapidly expanding workloads as well as its need for agile compute and storage solutions. The company decided to invest in transforming its data and usage strategy on AWS. Because Airbnb operations involve hundreds of services and an agile technical culture, the company needed a strategic, centralized, and relatively frictionless approach to leaner purchasing.

Early in Airbnb’s journey, the company used a cost allocation visualization engine, AWS Cost Explorer, which has an easy-to-use interface that helps customers visualize, understand, and manage their AWS costs and usage over time. Later, to make use of its internal data infrastructure and extend the cost visualization capabilities of its data warehousing stack, Airbnb took advantage of data from the AWS Cost & Usage Report, which contains a comprehensive set of AWS cost and usage data and is available at an hourly, daily, or monthly level of granularity, as well as at the management or member account level.

"Using Savings Plans has been a significant improvement to Airbnb’s cloud management process. It’s helped reduce our operational workload while also driving meaningful cost savings for our business.”

Ari Siegel
Senior Finance Manager, Airbnb

Solution | Driving Cost Efficiency Using Insights and Pricing Solutions

Relying on its data warehouse, Airbnb uses the AWS Cost & Usage Report to run a custom pipeline that produces a dynamic view of Airbnb’s cost data and facilitates analytics. Airbnb’s pipeline ingests cost and usage files from Amazon Simple Storage Service (Amazon S3), which offers industry-leading scalability, data availability, security, and performance. To process files, Airbnb uses Amazon EMR, a cloud big data environment for processing vast amounts of data using open-source tools, making it possible for developers to run big data applications and petabyte-scale data analytics faster. Airbnb uses its pipeline to discount and amortize the data and then further customize it to support analytics and produce actionable insights and metrics.

To save on its use of Amazon Elastic Compute Cloud (Amazon EC2), which provides secure, resizable compute capacity in the cloud, Airbnb became an early adopter of Savings Plans, a flexible pricing model offering lower prices compared to Amazon EC2 On-Demand Instances in exchange for a specific usage commitment. Airbnb migrated its Amazon EC2 Reserved Instances to Savings Plans and discontinued its On-Demand Instance usage, resulting in cost savings. “Using Savings Plans has been a significant improvement to Airbnb’s cloud management process. It’s helped reduce our operational workload while also driving meaningful cost savings for our business,” says Ari Siegel, senior finance manager at Airbnb.

Airbnb also manages and saves on storage costs using Amazon S3 Intelligent-Tiering (S3 Intelligent-Tiering), a cloud storage class that delivers automatic cost savings by moving objects between four access tiers when access patterns change. By using S3 Intelligent-Tiering to manage storage locations for objects used by Airbnb’s data warehouse, Airbnb reduced storage costs by approximately 27 percent. Additionally, for replicated data stored for backup, the company uses Amazon S3 Glacier storage classes—a range of storage classes that users can choose from based on the data access, resiliency, and cost requirements of their workloads. Airbnb relies on the AWS Cost & Usage Report for hourly insights into data storage spending on Amazon S3.

Airbnb also manages costs within its logging infrastructure using Amazon OpenSearch Service, which makes it easy to perform interactive log analytics, near-real-time application monitoring, website searches, and more. To help lower costs, Airbnb employed UltraWarm storage for Amazon OpenSearch Service, which provides a cost-effective way to store large amounts of read-only data on Amazon OpenSearch Service. The solution contributed to a 60 percent reduction in Airbnb’s Amazon OpenSearch Service costs.

Outcome | Maturing Operations and Empowering Teams

Airbnb’s finance and technology teams employed a broad range of AWS resources to build cloud efficiency and optimize operations. To work toward data-driven purchasing, the teams also expanded their consultation and engagement using AWS. And by delivering process and visibility improvements, the company helped empower individuals and teams to adopt cost management goals.

Technologies

AWS Cost & Usage Report (CUR)

CIONET Business Circles

Healthcare Circle

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?

Telenet Business Leadership Circle

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Les Rencontres

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Female Leadership Circle

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.