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Belgium 9-6-26 Invitation Only Virtual english

From Dashboards to Decisions: Restoring alignment, ownership, and confidence in enterprise reporting

Data availability keeps growing, but decision-making often feels slower. Every function builds its own dashboards, metrics multiply, and reports begin to contradict each other. What was meant to improve transparency now creates confusion. The problem is not access to data but alignment on interpretation. When information becomes noise, confidence in reporting collapses. People hesitate to act, functions challenge each other’s numbers, and trust in analytics erodes. The challenge lies in restoring clarity: deciding which metrics matter, who owns them, and how reporting connects back to action. Let’s discuss how to simplify information flows, define consistent metrics, and reconnect dashboards with decision-making. How ownership, cadence, and shared understanding bring alignment back. A closed conversation on rebuilding confidence in data, where clarity replaces overload and information once again supports action.

Belgium 10-6-26 Invitation Only Physical english

Man Overboard: A VIP Evening on the Human and Digital Anatomy of a Crisis

In the middle of the night, 200 miles from the coast, the alarm sounds. The "Man Overboard" cry isn't just about a person in the water; it’s the ultimate test of a crew’s preparation, psychological grit, and split-second communication. For the modern European CIO, the "Man Overboard" moment happens in the data centre, the boardroom, or the headlines. When the system fails, the pressure doesn't just sit on the servers; it sits on you. Join CIONET for an exclusive VIP evening at the coast, a deep dive into the Human and Digital Anatomy of a Crisis. We will explore why some leaders thrive under the crushing weight of a "Black Swan" event while others capsize, and how data serves as the steady keel that keeps the ship upright.

Belgium 12-6-26 Invitation Only Physical english

AI Governance at Scale: Defining boundaries, ownership, and accountability for AI at scale

AI started small: a few pilots, some dashboards, a couple of chatbots. But then it spread, quickly. Now every department wants a model, every vendor adds “AI-powered” to their pitch, and every regulator is asking about risk and transparency. Governance suddenly went from a nice idea to a full-time job. Scaling governance is harder than launching AI. Policies look great on slides, but in practice, ownership blurs and enforcement stalls. Central control slows things down, while local freedom invites risk. Everyone agrees AI should be safe and ethical, but no one agrees on who signs off when something goes wrong, all leading to AIs living as permanent PoCs. So how do you scale oversight without creating bureaucracy? How do you distribute responsibility between IT, business, and compliance? And what controls actually hold up when AI keeps changing after deployment? Let’s explore how organisations make governance part of daily operations, not an afterthought. A closed conversation for those trying to keep AI credible, compliant, and under control while it spreads across the enterprise.

June 9, 2026 Squad Session Invitation Only Virtual english

From Dashboards to Decisions: Restoring alignment, ownership, and confidence in enterprise reporting

June 12, 2026 Squad Session Invitation Only Physical english

AI Governance at Scale: Defining boundaries, ownership, and accountability for AI at scale

June 18, 2026 Squad Session Invitation Only Physical english

Building the Event-Driven Enterprise: Managing flow, context, and control in event-driven systems

Becoming event-driven sounds like the logical next step: real-time visibility, faster response, tighter integration. The promise is appealing, no? But turning that vision into reality is another story. Where do you start, with technology, operating model, or mindset?

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Nordstrom Analytical Platform and Enhancing the Customer Experience

Nordstrom develops the Nordstrom Analytics Platform (NAP), which uses AI-powered analytics to personalize the shopping experience through deeper customer insights and predictions.

Chief Technology Officer, Edmond Mesrobian, recently participated in a conversation with VentureBeat's Hari Sivaraman, discussing the role of data infrastructure to enhance the customer experience. Focusing on AI-powered analytics, Edmond described the journey of building the Nordstrom Analytical Platform (NAP) to leverage deeper insights and predictions for a personalized experience. See highlights from their conversation below.

With our Nordstrom Analytical Platform (NAP), we are improving on our ability to provide personalized product discovery and service.

When we think about analytics as opposed to data reporting, timing is the most precious commodity, and making the timeliest decisions required us to build a platform. Whether it's stores, fulfillment centers or online, we built and translated those signals through models and actions. It's difficult to buy that type of solution off-the-shelf because you need to wire your enterprise. We asked, can we generate a prediction cost-effectively and translate that into a customer benefit and service? That's where we started, and we realized we needed to create it as opposed to buying it.

We embarked on this journey to get the business aligned so that we can capture events and stream them in real-time or near real-time into our analytical platform. We then layered analytical models of a variety of forms to translate into predictions—today's predictions are the new KPIs. Our goal was not to be technology providers for the components, but rather stitch it together to create the kind of analytical platform that we can then robustly drive machine learning. What we call our one-hop engine essentially translates our business events into something that could then be activated through a model. And so that's the special sauce—how we put the business events together, how we transformed them from one hop into our models and then generated predictions on the other end.

Our goal is to make the digital experience personal by offering our customers curated product choices on an individual level.

There are over a hundred AI models that we leverage daily at Nordstrom—a significant portion of them are backward-facing capabilities from inventory control to fulfillment and how to route orders to the nearest store and more. Customers will experience those capabilities indirectly in terms of getting orders shipped and delivered on time. Our mission and holy grail from a digital perspective is delivering the capability of discovery. Taking what we know about our customers we can deliver personalized products and better selection—through improved Looks, style boards and more. We are using AI in a more robust way to drive product discovery and personalization.

We are also focused on what we call our fashion map. The fashion map essentially takes a natural language-based approach with deep learning to interpret images and information from social networks—this allows us so to get to know customers through a natural language conversation, as opposed to keyword searches that are very taxonomy driven and hardcoded. We are continuing to work on achieving AI discovery to get closer to our customers in a personalized way.

See the full conversation below.

Partners

CIONET Business Circles

Cyber Circle

CIONET’s Cyber Circle: a new three-event programme exclusively focusing on the most urgent, complex, and high-impact challenges in cybersecurity today. Launched in 2026, this initiative brings together CISOs, CIOs, and senior IT executives with a strong interest in cybersecurity for three curated gatherings each year. As part of CIONET’s trusted executive community, the Cyber Circle provides a confidential, peer-driven environment to exchange insights, share real-world experiences, and address evolving cyber threats. Each session is designed to foster strategic dialogue, strengthen resilience, and elevate cybersecurity as a core driver of business value.

Telenet Business Leadership Circle

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.

Les Rencontres

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 !

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.