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Belgium 27-8-26 AB Members Physical english

Summer Festival: Advisory Board

CIO agendas are crowded: cost pressure, cyber, regulation, talent, data, AI, vendor dependency, business expectations. Most organisations are trying to do too much at once, and the “must-do” work often blocks the strategic work. CIONET only creates value if its agenda matches what CIOs truly need, in the right format, at the right time. The challenge Pick the few priorities that matter most for 2027, then translate them into a clear CIONET agenda. Outcome we leave with A ranked CIO agenda for 2027, and a directly aligned CIONET programme outline (themes, formats, cadence), with a shortlist of speaker and case targets.

Belgium 27-8-26 Country Members Physical english

Summerfest: From Story to Habit

How to align people, shift routines, and prove value Technology transformations often fail not because the tools don’t work, but because people don’t change their work habits. Boards want proof of value, executives want business outcomes, IT wants clarity, and employees want ease. Between these expectations, the CIO’s role is no longer just to deliver platforms; it is to tell the story that motivates people and turn that story into daily habits. This session will explore: The narrative: how to craft a simple, repeatable story that explains the “why” behind change for every stakeholder. From story to routine: practical ways to embed new behaviours through manager rituals, team incentives, and visible leadership. Reskilling and new expectations: preparing teams for evolving roles, from cross-department collaboration to AI-enhanced workflows. Measuring what matters: showing progress in speed, quality, and resilience — not just in licences bought or trainings completed. The aim is to equip CIOs with a leadership toolkit: a story that unites, habits that endure, and proof that convinces even the toughest boardroom.

Belgium 8-9-26 Invitation Only Virtual english

What an AI Architect Actually Does in Practice; Skills, responsibilities, interfaces, and career moves behind one of the most misunderstood emerging roles.

The AI architect role is becoming more visible, and the scope varies across organisations. The challenge is defining what the role owns, where it sits, and how it works with existing architecture, data, security, risk, and business teams. Three pressure points need clarity. - Role definition matters because the position can span solution architecture, data architecture, governance, integration, security, vendor selection, and business process design. - Interfaces matter because the role must connect teams while respecting existing responsibilities. - Skills matter because technical depth needs to be combined with judgement around controls, delivery choices, and operational boundaries. The working question is simple: how do we define the AI architect role so it becomes useful, credible, and connected to delivery? If this role is emerging in your organisation, let’s compare how others are defining it and where they are placing it.

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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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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.