Volv Global at the Digital Lounge @ Davos 2026

Volv Global at the Digital Lounge @Davos 2026

January 12, 2026

Events Insights

Photos from Digital Lounge @Davos.

Volv Global CEO and founder Christopher Rudolf with the rest of the panel for “The Global Transformation of Healthcare, Sports and Medicine” on the CXO Day of Digital Lounge @Davos.

Volv Global CEO and founder Christopher Rudolf at the CXO Day of Digital Lounge @Davos.

Volv Global CEO and founder Christopher Rudolf has been invited to speak at the Digital Lounge @Davos, on Thursday, January 22nd, 2026.

The Digital Lounge @Davos is an invitation-only forum held alongside the Davos week in January 2026, bringing together senior leaders from healthcare, artificial intelligence, technology, finance and public policy. It offers a focused setting for high-level discussion on how digital innovation is reshaping global systems.

The programme centres on the practical application of AI and data-driven technologies to deliver real impact today. Sessions explore how advanced analytics and machine learning can improve efficiency, decision-making and outcomes at scale, closely aligning with Volv Global’s work in AI-powered patient identification, disease understanding, risk prediction and real-world evidence generation.

Volv Global will be represented by our CEO, Christopher, who has been invited to participate in the session “The Global Transformation of Healthcare, Sports and Medicine” on the CXO Day of the event. He will share how Volv Global’s solutions are already delivering cost efficiencies, new scientific insight and more equitable understanding of patients and disease, reinforcing Volv’s role as an established leader in applied AI for healthcare.

Volv Global’s Christopher Rudolf at the Digital Lounge @Davos 2026

Volv Global at Digital Lounge @Davos

Within the multidisciplinary environment of the Digital Lounge in Davos 2026 and the stream “Global Transformation of Healthcare, Sports and Medicine,” Volv Global will contribute a data-driven, evidence-based perspective on how machine learning can deliver measurable, immediate value, improving the performance and sustainability of global health and life-science ecosystems.

The central argument: by identifying and understanding patients more precisely – their disease trajectories, risk factors, comorbidities, and unmet needs – health stakeholders (payers, providers, policymakers, pharma) can achieve significant cost-burden savings and systemic efficiencies across the entire ecosystem, from early detection to optimised intervention, resource allocation, and patient outcomes.

Beyond this, we argue for a new paradigm of knowledge generation about diseases and patients. Machine-learning does not merely replicate existing clinical expertise; it extracts previously unseen structure from complex population-level data to uncover novel phenotypes and biomarkers, and predict patient outcomes. This allows decision-makers to surface previously under-recognised subpopulations and mitigate structural biases, e.g., racial or ethnic biases often embedded in historical datasets. Crucially, this is not speculative or futuristic, distinct from today’s “AI hype cycle.” As an example, Volv Global’s own methodology is deployed commercially today, powering patient-finding initiatives, risk stratification, real-world HEOR insights, and precision omnichannel programmes.

Responsible, scientifically grounded machine learning is not a future ambition but a present-day capability. By applying advanced analytics responsibly and at scale, health systems and industry stakeholders can achieve immediate efficiency gains, a deeper understanding of disease, and meaningful societal value.