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Belgium 01-10-2026 Squad Only Virtual english

Letting Teams Build Safely with Low-Code, No-Code, and AI Tools. ; How to enable business-led development while keeping security, architecture, and support under control.

Low-code, no-code, and AI tools are giving business teams more ability to build solutions themselves. The challenge is setting the right boundaries before fast local solutions become important operational assets. Three pressure points need attention. - Boundaries must be clear: teams need to know what they can build alone and what requires IT, security, or architecture review. - Supportability matters when a quick solution becomes business-critical. - Risk control remains necessary around data access, compliance, security, process dependency, and maintenance. The working question is simple: how do we enable business-led development while keeping security, ownership, and support under control? If you are trying to enable this safely, let’s compare approaches with others facing the same balance.

Belgium 06-10-2026 All Members Physical english

The Token Trap: Reclaiming Control of Enterprise AI

As enterprise AI transitions from experimental Proofs of Concept (POCs) into real implementations, digital leaders are encountering a shared challenge: consumption-based public cloud token billing models do not fit neatly into traditional IT budgeting. Daily token consumption can rise unexpectedly, pushing expenses through the roof while arbitrary caps quickly kill momentum for innovation. For many CIOs, this raises an open strategic question: How do we keep costs under control while further stimulating innovation? During this interactive CIONET roundtable, we will explore among peers how to navigate AI tokenomics. Rather than treating public cloud LLMs as the default path, we will investigate how different execution environments, ranging from hybrid cloud setups and targeted on-premise models to specialised edge hardware, can help balance cost with performance. This session is intentionally designed as an open peer-to-peer exchange; a space to compare notes, challenge current ways of working and architectural setups, and discuss practical approaches to building predictable, scalable AI models.

Belgium 08-10-2026 All Members Physical english

The Permanent (R)evolution

Every large organisation has been through a major transformation, and most through several. The word transformation is misleading because it suggests a beginning and an end. But organisations that do well are the ones that have given up on the idea of arriving and realise that constant change has become the new norm, and missing a single cycle leaves you permanently behind. This evening, two leaders will share how they think about this, coming from opposite directions. John Porter led Telenet through a sustained period of reinvention spanning the pandemic, a full reorganisation into tribes, M&A, and a shift to a performance driven culture. Along the way, the IT department was dissolved and technology was embedded inside autonomous tribes that run as small businesses. There is no CIO at Telenet. It is Telenet Group’s purpose to become a digital-first, customer-centric organisation. To deliver on this ambition, it has embarked on a transformation journey built on three pillars: (i) the implementation of a scaled-agile operating model (organisation), (ii) the acceleration of digitisation and automation underpinned by optimised IT systems, platforms, and strategic technology partnerships (digitisation), and (iii) a performance leadership culture focused on accountability, ownership, and a change mindset (culture). Kris Vervaet, on the other hand, has just become CIO at KBC, the bank whose mobile app has been ranked best in the world three times and whose AI assistant Kate now handles 70% of customer queries on its own. But Kris is no ordinary CIO: he ran DPG Media Belgium as CEO, and KBC went looking for someone who has led transformation rather than someone who manages technology. So while one organisation got rid of the CIO role, the other reinvented it, and both are thriving. The conversation will range across organisational and IT redesign, the rise of digital-first customer experience, the impact of AI on how every business is run, and the harder questions of culture, talent and leadership. The question for every leader in the room is what that tells you about your own role, your own operating model, and the pace at which you are prepared to keep evolving.

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Exscientia Uses Generative AI to Reimagine Drug Discovery

Exscientia uses generative artificial intelligence (AI) throughout the design-make-test-learn (DMTL) cycle to discover new therapies for patients quickly and relatively inexpensively.

“Using AWS, we reduce bottlenecks and accelerate the pipeline.”

David Hallett
Interim CEO and Chief Scientific Officer, Exscientia

Exscientia uses generative artificial intelligence (AI) throughout the design-make-test-learn (DMTL) cycle to discover new therapies for patients quickly and relatively inexpensively. Conventional drug discovery methods can take up to 15 years and cost over 2 billion dollars, with an average failure rate of 90–96 percent because scientists hunt for specific drug candidates among 10⁶⁰ bioavailable small molecules.

Built on Amazon Web Services (AWS), Exscientia’s innovative DMTL solution incorporates in silico design—using generative AI algorithms to design compounds in the cloud—and automated robots that make drug candidates in a lab. “We use generative AI to solve for efficiency and effectiveness,” says David Hallett, Exscientia’s interim CEO and chief scientific officer. “By predicting the molecular features of a safe and effective drug in silico, we minimize the number of costly experiments. Our platform, built in collaboration with the AWS team, is optimized for speed. We can repeat many DMTL learning loops, improving our drug candidates with every iteration.”

Using Generative AI for More Efficient Drug Discovery at Reduced Cost

Working backward from patient needs, Exscientia defines precise target product profiles (TPPs) that specify the complex combination of properties required by a well-tolerated and effective medicine. AI engineers design algorithms that generate panels of potential drug candidates to meet the TPPs. Active learning algorithms help expert designers to select a short list of drug candidates to synthesize in the lab, because they either move the TPPs forward or refine the models for future DMTL cycles.

Exscientia’s algorithms are trained on publicly available pharmacology data and proprietary in-house data generated from patient tissue samples, genomics, single-cell transcriptomics, and medical literature. By encoding data throughout the process and analyzing experimental results and previous design cycles, Exscientia can optimize upcoming design cycles and promote compound designs that are physically synthesizable. Using this synthesis-aware, iterative approach built on AWS, Exscientia makes 10 times fewer compounds than the industry average. “The idea is to iron out chemical liabilities to make safer and more effective drug candidates before we ever test them in patients,” says Hallett.

Exscientia has accelerated drug design by up to 70 percent while decreasing capital cost by 80 percent, compared with industry benchmarks. Using generative AI with other tools, Exscientia not only developed better drug candidates faster but also identified the right drug combinations to trial with patients in the clinic.

Cutting Time and Costs Using Automated Robotics to Make Better Medicines

Exscientia has incorporated cutting-edge chemistry synthesis and biology assay lab equipment with automation robots to avoid manual handling of lab equipment. Thus, its lab—orchestrated by AWS microservices—can operate 24/7 with minimal human supervision, “When our designs are ready, we can push a button, and within a few days, the robots are making the drug,” says Hallett. Maintaining extremely high levels of security and comprehensive disaster recovery, Exscientia will use this automated robotic capability to reduce the make and test timelines resulting from traditional offshore research contracts used across the industry.

As the company closes the loop with its robotic automation lab, it expects further productivity improvements. Data generated in the lab improves algorithmic predictions and speeds up DMTL cycles.

Introducing AI-Designed Molecules into Clinical Trials

Six molecules that Exscientia designed using AI have entered clinical trials. “Using AWS, we reduce bottlenecks and accelerate the pipeline,” says Hallett. “By switching on this highly integrated and automated DMTL loop, we can make drug candidates faster and more cost-effective.”

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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.