In February 2026, members are invited to take part in a series of member-exclusive IoT training sessions designed to translate research insights into practical, operational knowledge for pharmaceutical and healthcare logistics.
The training portfolio builds on the findings of the IoT Devices & Platforms in Healthcare Logistics project and marks a transition from research and analysis to structured knowledge transfer and industry readiness. Across four sessions, participants explore how IoT, data strategies, and organisational capabilities can be applied in real operational contexts to strengthen resilience, compliance, and performance across end-to-end supply chains.
Explore the IoT Devices Project
Training Session 1 – Fundamentals of Artificial Intelligence in Healthcare Logistics
11 February 2026, 14:00–16:00 CET
Trainer: Hunter Ferrell, CEO, Aspen Telematix
This opening session introduces the fundamentals of artificial intelligence in pharmaceutical and healthcare logistics, with a focus on how AI supports decision-making when applied to IoT data streams.
Key learning objectives:
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How AI converts IoT data into actionable, decision-ready insights
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Where AI delivers real operational value — and where it does not
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Key AI use cases in pharma and healthcare logistics
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Ethical considerations and responsible AI use in regulated environments
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How AI-enabled logistics supports resilience, compliance, and performance
Training Session 2 – Strategic Use of IoT Data
19 February 2026, 14:00–16:00 CET
Trainer: Enrique CondeGil, Expert Contributor, IoT Devices & Platforms in Healthcare Logistics
This session focuses on how IoT capabilities translate into measurable business value, guiding participants in transforming raw data streams into structured, decision-support intelligence.
Key learning objectives:
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How to identify critical data points that truly impact performance
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The difference between monitoring models and strategic data models
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The role of AI within a broader IoT data strategy
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How to evaluate operational improvement through measurable KPIs
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How to leverage data for transparency, compliance, and audit-readiness
aining Session 3 – Operational Change & Change Management
23 February 2026, 14:00–16:00 CET
Trainer: Enrique CondeGil, Expert Contributor, IoT Devices & Platforms in Healthcare Logistics
This session addresses the organisational and operational dimensions of digital transformation, focusing on how technological change translates into adoption, processes, and behavioural change in logistics environments.
Key learning objectives:
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Understand key approaches & tools enabling effective BPA implementation
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Prepare to navigate the sources of uncertainty shaping today’s management environment
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Assess how AI-driven models shape change-management practices
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Managing Uncertainty: Leading through Orchestration
Turning Insight into Action
This new initiative reflects Pharma.Aero’s commitment to closing the gap between research and real-world operations. Building on the insights generated across our projects, the 2026 member-exclusive training series is designed to translate evidence, data, and best practices into actionable, operational know-how for professionals across the pharma and life sciences logistics ecosystem. The sessions focus on practical application—supporting teams in strengthening decision-making, improving process maturity, and accelerating the adoption of validated approaches that enhance quality, resilience, and performance across air, sea, and land supply chains.thical considerations and responsible AI use in regulated environments.