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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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Deutsche Bank democratizes application development with centralized platform

Deutsche Bank has embraced digital transformation by standardizing and streamlining developer access to compute capacity and other application resources to reach markets more quickly. Its new Platform-as-a-Service (PaaS), Fabric, uses microservices and container capabilities of Red Hat OpenShift Container Platform, supported by Red Hat Enterprise Linux and managed using Red Hat Ansible Tower.

Benefits:

Cut end-to-end application development time from 6-9 months to 2-3 weeks
Simplified DevOps collaboration with flexible integration and agile approach
Optimized use and costs of datacenter and cloud capacity with microservices, containers, and cloudbursting

Platform complexity restricts efficient development

As a leading financial services provider for private, corporate, and fiduciary clients, Deutsche Bank has embraced the positive trends of digital transformation. By challenging traditional business approaches, the bank sought to enhance digital customer experiences — a goal directly tied to enhancing its developer experience.

“We’re focusing on shortening our development cycles so we can get products in front of our customers more quickly,” said Tom Gilbert, global head of cloud, application, and integration platforms at Deutsche Bank. “A need for greater agility is directing the industry to microservices, containers, and public cloud, and shifting the focus from infrastructure to ideas.”

But restrictive infrastructure specialization made integration difficult and application development slow. Managing thousands of servers and databases hindered growth and adoption of more agile technology. Many operating systems were being used across multiple datacenters.

The bank saw that a new, cloud-based approach was needed to support not only its current business, but also future data needs.

Deutsche Bank also wanted to support a more innovative, DevOps approach to replace its traditional waterfall processes and keep pace with rapid, iterative digital innovation. To gain the scale and flexibility needed, the bank sought to establish a PaaS that would streamline development and management, reduce risk, and support more agile work across all of its business units.

Open source technology supports global application development

To build its strategic as-a-Service platform, Deutsche Bank sought an open source solution. After years of success with Red Hat Enterprise Linux, the bank added Red Hat OpenShift Container Platform and Red Hat Ansible Tower to build Fabric, a containerized, microservices-based application development platform at the bank.

“Red Hat offered the combination of open source with vendor support, patching, and management — all of the things that we need in a regulated business,” said Gilbert. “The shift from virtual machines to containers, and traditional applications to microservices, is a big one. We needed a partner that could help us build our deployment capabilities and train our global developer base so we could get maximum value from our investment.”

Fabric runs on Red Hat Enterprise Linux in several datacenters and in the bank’s Microsoft Azure public cloud environment. Red Hat OpenShift Container Platform provides support for container- and microservices-based development, scaling compute and performance capacity from dedicated servers to cloud resources as needed. Both solutions are deployed and maintained using Red Hat Ansible Tower, a framework that automates and standardizes IT at enterprise scale.

Deutsche Bank’s developers and infrastructure teams worked with Red Hat Consulting to deploy and learn about OpenShift. “We enjoyed working with them. They helped us educate thousands of developers worldwide on how to develop cloud-native applications, and they’ve helped our infrastructure teams get used to this new technology and integrate it into the bank’s platforms,” said Gilbert.

Fabric hosts systems and tools for every application development team at the bank, from the retail group’s application programming interfaces (APIs) to internal HR and employee survey systems. In addition, Fabric offers elastic, on-demand compute to support tasks like daily risk calculations, which require large volumes of resources across data processing, disaster recovery, and acceptance and performance testing.

After two years, the platform is now running more than 3,100 projects in more than 15 environments, with 6,000 active monthly users. Releases every two weeks incorporate customer and user feedback to adjust features and performance.

Its successful creation of a DevOps-ready, container-based, global development platform earned Deutsche Bank a 2019 Red Hat Innovation Award.

Faster resource access speeds service time to market

Fabric offers global, standardized compute and other development resources across infrastructure providers through APIs to help Deutsche Bank’s developers work more efficiently. Developers can create their own container images and make them available in the platform. Instead of 6-9 months, applications now go from proof of concept (POC) to production in 2-3 weeks. Red Hat Ansible Tower automates provisioning, testing, and other routine tasks, saving the company months of engineering work and mitigating risk of errors during upgrades and maintenance.

Agile and DevOps practices simplify collaboration

To support its digital transformation, Deutsche Bank has embraced DevOps and Scaled Agile Framework (SAFe) approaches to developing at scale — supported by the flexibility of Ansible Tower and OpenShift Container Platform.

Integration and scalability are key to expanding these collaborative processes and taking advantage of the best ideas and code. “Instead of a hosted platform, microservices let us use elastic cloud resources to scale on demand,” said Boyle. “With Ansible and OpenShift, whether it’s a management report or a piece of data, once a service exists, we just need to expose it to other functions and applications for it to be reused.”

To keep these collaborative systems secure, Red Hat helps Deutsche Bank deploy the latest patches and updates to protect its Red Hat infrastructure from threats and vulnerabilities.

Containers and cloud help teams do more with less

Streamlining resource access has helped Deutsche Bank optimize its use of datacenter and cloud capacity, saving time, money, and resources.

Dense, container- and microservices-based infrastructure not only requires fewer staff to manage but also less hardware to run than VM-based infrastructure. By adopting cloud compute and running more workloads per physical server, Deutsche Bank anticipates saving millions of euros year over year.

Technologies

Red Hat Ansible Automation Platform Red Hat Enterprise Linux Red Hat OpenShift

Partners

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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.