.jpg)
Kalman Tiboldi - CTO & Founder at GemOne-TVH - Simplify or Die: Why Complexity Is the Real IT Challenge
Germany Oct 20, 2025 Country Members Virtual german
Die Realisierung des Potenzials von KI und datengesteuerten Strategien stellt nicht länger nur einen Wettbewerbsvorteil dar, sondern ist Heute auch entscheidend für den langfristigen Erfolg eines jeden Unternehmens. Unsere Wissensaustausch-Briefings "AI & Data Knowledge Transfer" zielen darauf ab, CIDOs und Senior Digital Leaders praktische Anwendungen aufzuzeigen und umsetzbaren Erkenntnissen von Fachexperten zu vermitteln, die den Weg für die transformative digitale Reise ebnen und beschleunigen.
Read More
Belgium Oct 21, 2025 Invitation Only Physical english
In today's competitive landscape, customer expectations have never been higher. They demand a personalised, seamless experience at every touchpoint, from initial marketing contact to post-sale service. Unified data is at the heart of creating engaging customer experiences and is meant to fuel the 360 profile. However, for many organizations, a complete picture of the customer is fragmented, with critical data scattered in disconnected systems and departments. This exclusive roundtable will bring together Digital Leaders active in multiple industries to discuss a critical challenge: breaking down data silos to build a true 360° view of the customer. We will explore how to solve the complex integration challenges that prevent a unified view, and how to transform disparate data into a single source of truth. Join us to: Discover how to overcome the technical hurdles of integrating critical business systems, such as ERP and CRM platforms, to unify customer data. Explore real-world case studies on how organisations have successfully created unified customer insights to enhance personalisation and boost commercial and operational efficiency. Discuss best practices for turning fragmented data into actionable insights that can anticipate customer needs, drive revenue growth, and foster long-term loyalty. This is a unique opportunity for Digital Leaders who are ready to transform their customer engagement strategy and unlock the full potential of their data.
Read More
Spain Oct 22, 2025 Country Members Physical spanish
Descubre cómo las organizaciones están utilizando la tecnología para impactar en el negocio a través de casos reales de uso y aprendizajes clave en áreas como ciberseguridad, automatización o data, contados por los protagonistas. Un espacio diseñado para inspirarte, conectar con expertos y potenciar la innovación en tu organización.
Read More.jpg)
Belgium Oct 22, 2025 Invitation Only Physical english
Enterprises are questioning whether private networks and stacked firewalls are still worthwhile investments. A newer approach operates on the open internet with Zero Trust, eliminates perimeter complexity, and reframes cybersecurity as a business performance metric for boards and audit committees. This is a closed-door, peer discussion, not a lecture. We’ll examine the promise and its pitfalls: Are the promised savings significant, or are they too good to be true? What risks do you introduce? How does this collide with your installed base, legacy OT, entrenched processes and team competencies, and how do you overcome that without breaking operations or credibility with the board? Two senior leaders from global companies will spark the dialogue with lived experience: Kurt De Ruwe, CIO AkzoNobel Frank Bolata, CIO Syensqo
Read More
Poland Oct 23, 2025 Invitation Only Physical Polish
Cloud UP! ’25 to miejsce spotkań managerów, którzy chcą świadomie i skutecznie rozwijać swoje organizacje, wykorzystując najnowsze technologie. Nieformalnym hasłem tegorocznej edycji jest “Chmura gotowa na AI” - będziemy rozmawiać o tym, co sztuczna inteligencja naprawdę potrafi oraz pokazywać, jak wdrażać ją w praktyce. Wspólnie z ekspertami przeanalizujemy, jakie warunki muszą zostać spełnione, aby wdrożenia AI były zarówno skuteczne, jak i bezpieczne. Zerkniemy za kulisy najnowszych rodzimych produktów AI-owych, by zobaczyć ich możliwości, a także poznamy najciekawsze wdrożenia z wykorzystaniem Agentspace. Po raz kolejny spotkamy się w formule Share.Explore.Execute. Stawiamy na wymianę wiedzy i doświadczeń zdobytych podczas realizacji projektów. To one stanowią punkt wyjścia do odkrywania, testowania i skutecznej implementacji najlepszych rozwiązań w organizacjach. Cloud UP! ’25 to cztery ścieżki tematyczne, na które złożą się prezentacje, rozmowy, sesje live-demo oraz pogłębione dyskusje w formule roundtables: AI: Beyond the Hype Data Mastery Resilience & Regulatory Advanced Practitioners Dołącz do liderów chmurowych innowacji w Polsce i spotkaj się z nami już 23 października w Event Hall w Fabryce Norblina.
Read More.jpg)
Belgium Oct 23, 2025 Invitation Only Physical english
How to lead responsibly when technology can deceive better than a human? AI’s ability to shape our perceptions and create new realities is becoming increasingly sophisticated. While it opens significant opportunities, it also carries risks. What happens when AI goes beyond data and algorithms to influence - or even deceive - our senses? How does this change not only our understanding of reality but also the foundations of trust, creativity, and truth in business? AI isn’t just transforming business, it is altering how we experience and interpret everything around us. From AI-generated deepfakes to personalised experiences designed to influence behaviour, the line between truth and illusion is increasingly blurred. This event combines a roundtable discussion among peers with a hands-on sensory workshop, where you will experience illusions through sight, sound, taste, smell, and touch. Through these experiments, we will confront the ethical dilemmas that arise when AI has the power to fabricate realities and influence decisions.
Read More
Color Health uses the reasoning capabilities of GPT-4o to help doctors transform cancer care.
Color Health is working with OpenAI to pioneer a new way of accelerating cancer patients’ access to treatment. Their new copilot application uses GPT-4o to identify missing diagnostics and create tailored workup plans, enabling healthcare providers to make evidence-based decisions about cancer screening and treatment.
Color has been working to improve access to healthcare for a decade, serving more than 7 million patients since it was founded. In 2023, they partnered with the American Cancer Society to help employers and health plans take control of cancer—the second most common cause of death in the United States and the leading driver of American healthcare costs.
Color Health uses OpenAI’s APIs to integrate patient medical data with clinical knowledge. The outcome is a copilot application that creates customized, comprehensive treatment plans for providers to review and use in their patient care.
“Color’s vision is to make cancer expertise accessible at the point and time when it can have the greatest impact on a patient’s healthcare decisions,” says Othman Laraki, CEO of Color Health.
"As a healthcare company, technology that improves access and equity has to go hand-in-hand with technology that supports patient safety and privacy. OpenAI's HIPAA-compliant data protection standards are key."
The copilot application’s output is analyzed by a clinician at every step and, if need be, modified before being presented to the patient. It works as follows:
It extracts, processes, and normalizes patient information, such as family history and individual risk factors, along with clinical guidelines and data from trusted sources. The Color team was particularly impressed with GPT-4o’s ability to extract and normalize information that was buried within pages of inconsistently structured and phrased information, often in different formats, such as with PDFs or clinical notes.
Using this data, it answers key questions like, “What screenings should the patient be doing?” to identify missing diagnostics and generate a personalized screening plan. It also generates documentation required to complete any diagnostic workups, such as medical necessity documents and insurance pre-authorizations.
The clinician-in-the-loop evaluates the output, which includes source information. The clinician can edit the copilot’s output, which also helps refine future iterations.
Once the clinician-in-the-loop is satisfied with the result, they can add the information to the patient’s existing treatment plan.
Screening, diagnosis, and treatment for cancer is notoriously complex and time-consuming. And every delay makes a difference: patients whose treatments are delayed by just four weeks face a 6–13% higher risk of mortality(opens in a new window).
Screening needs are also often highly individualized. More than a third of Color’s patients, for example, require earlier, different screening approaches based on individual risk factors not addressed by standard guidelines. “I've witnessed the complexities of developing personalized cancer screening plans for my high-risk patients,” says Dr. Keegan Duchicela, a primary care physician at Color. “The guidelines are constantly evolving, and individual risk factors aren't always immediately clear.”
Beyond screening, diagnostic workups create more challenges. Documenting and performing a single patient’s diagnostic workup can take weeks, with the majority of patients arriving at their first oncology appointment without a complete workup. “Today, there are real gaps in oncology care based on where a patient receives initial diagnosis,” says Dr. Allison Kurian, a professor at Stanford University School of Medicine and clinically active oncologist. “Many of my patients require weeks to complete all of the tests and evaluations necessary to provide appropriate treatment, during which precious time is lost and additional administrative burden is placed on clinicians.”
Color began working with OpenAI in 2023, with the goal of using AI to improve cancer patient care and health equity. With the challenges of cancer screening, diagnosis, and treatment in mind, Color was looking for a solution that could:
Interpret inconsistently-formatted patient data
Analyze dense healthcare guidelines
Protect patient data privacy
Support clinician-in-the-loop workflow design to ensure patient safety
Integrate with electronic health records (EHRs) and core hospital systems
During initial exploration, Color set up their approach for rapid experimentation, including testing the performance of GPT-4 and GPT-4o in complex tasks such as extracting information from PDFs of clinical guidelines for cancer diagnosis. These PDFs are often hundreds of pages of complicated diagrams that outline care paths based on diagnostic workup. Together, OpenAI and Color developed a method of asking GPT-4 Vision to describe screenshots of these diagrams that was most effective in maintaining output accuracy.
OpenAI also helped guide the Color team to prototype clinical workflows using the standard ChatGPT interface and generate sample cases using a custom GPT–gaining effective proofs of concept before committing extensive engineering resources.
With OpenAI’s expert guidance, powerful models, and HIPAA-compliant data protection standards, Color was able to focus on deconstructing complex medical decision-making, refining prompts, and designing clinician-in-the-loop workflows to create the initial version of the copilot.
For example, OpenAI engineers guided Color to use retrieval-augmented generation (RAG) instead of model fine-tuning to increase output quality and rewrite clinical documentation for easier processing by ChatGPT. Ultimately, after experimenting, Color selected OpenAI as its AI solutions provider, with GPT-4o at the core of its cutting-edge copilot application.
To measure the impact of this tool, Color is partnering with the University of California, San Francisco Helen Diller Family Comprehensive Cancer Center (UCSF HDFCCC). For the initial implementation, Color and UCSF will conduct a retrospective evaluation, followed by a targeted rollout. Based on the evaluation, there is potential to integrate the copilot into clinical workflows for all new cancer cases at UCSF.
“UCSF is a leader in implementing cutting-edge technology to improve patient care,” says Dr. Alan Ashworth, PhD, FRS, President of the UCSF HDFCCC. “Patients frequently come to primary oncologists with incomplete diagnostic workups, and the time it takes to collate and accurately identify the completion of those workups prevents providers from working at the top of their license. We are interested in tools that can improve the efficiency and accuracy of pre-visit charting and avoid costly delays in treatment initiation for cancer patients at UCSF.”
Dr. Karen Knudsen, CEO of the American Cancer Society, agrees. “The idea of combining AI technologies with digitally-enabled clinical workflows to expedite that process would be a positive advancement for all parties involved - the patient and their clinicians, as well as the payer covering the cost of treatment.”
Color is taking a measured approach in rolling out the copilot, and has started an initial phase-in for its own clinicians, applying the tool to a limited number of cases. These cases receive several layers of quality assurance:
Healthcare providers using the copilot are able to identify 4x more missing labs, imaging, or biopsy and pathology results than those without the copilot.
Using the copilot, it takes on average 5 minutes for clinicians to analyze patient records and identify gaps. Without the copilot, data is fragmented and can lead to weeks of delay.
Through the second half of 2024, Color intends to use the copilot application to provide AI-generated personalized care plans, with physician oversight, for over 200,000 patients.
Kalman Tiboldi - CTO & Founder at GemOne-TVH - Simplify or Die: Why Complexity Is the Real IT Challenge
.png)
Isabelle Droll - CIO for Airline, Corporate, Hotels & Resorts and Sustainability at TUI - Data, Diversity, and Destinations
.png)
Sharon Prior - CIO in transition - How Great Tech Leadership Begins with Business Thinking
-1.jpg)
José Antonio López, Group CIO at TOUS - Jewels, Data & AI: Inside the Digital Transformation of TOUS
.png)
Tom Tanghe - General Manager ITC EMEA at Daikin Europe - Reinventing the CIO Role
.jpg)
CIOFEST 2025 - From Order Taker to Proactive Disruptor
The role of the CIO has evolved from managing systems to shaping outcomes: growth, resilience, and competitive edge are now won or lost in the technology arena. Today ’ s CIOs must balance stability with innovation, control costs while attracting scarce talent, and modernise legacy infrastructure while adopting emerging technologies.
As AI transitions from a specialised tool to an all-pervasive force, understanding its profound implications for our human lives is no longer merely academic but an urgent imperative for social well-being and strategic preparedness.
Geopolitical tensions have dominated the headlines for over two years now. In this context, the cyber threat landscape is also evolving rapidly. The protection and security of critical infrastructure – both physical and digital – is becoming increasingly important.
.png?width=600&height=600&name=Anna%20Kopp%20(1).png)
