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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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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.

100%

approval rating in school panels during initial pilot

48%

parental uptake during initial pilot

“

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. ”

Peter CaylessFounder and CEOWorking Eye

About Working Eye Ltd.

Technologies

IBM Watson Discovery IBM Watsonx Assistant

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