How to set up a phase appropriate biotech logistics process which is viable, reliable, and robust

  • Why phase‑appropriate logistics matters: Contrast early‑phase needs (speed, flexibility, limited batches) with later‑phase demands (cost efficiency, scale, partnerships).
  • Defining scope + managing complexity: Clarify what logistics covers (R&D, CMC, clinical, cold chain, inventory, vendor management) and avoid “boiling the ocean” by right‑sizing processes.
  • Building reliable systems: Align on cold‑chain qualification/validation, understand regulatory implications, and evolve tools from spreadsheets to integrated supply chain software.
  • People & partners as drivers of success: Leverage SME expertise, combine AI with human intelligence, and manage vendors intentionally to support each clinical phase transition

Breeze Pro: A Scientific Evidence-Driven Case for Age-Gated Flavored ENDS”

  • Multidisciplinary scientific evidence demonstrating high manufacturing quality, consistent product performance, shelf-life stability, and toxicological profiles that are substantially lower compared with those of combustible cigarettes and at or below those of FDA-authorized ENDS products.
  • In a six-week study using a single, randomly assigned Breeze Pro flavor, approximately 10% of adults with no prior intent to quit smoking fully discontinued cigarette use, while close to 40% reduced daily cigarette consumption by at least 50%

Yacht After Party – Sponsored by Zanoprima

An exclusive invitation only yacht experience bringing together industry colleagues for an evening of refined networking and relaxation against the stunning backdrop of Miami.

 

Private Luxury Yacht: Venetian Lady

PANEL DISCUSSION: The decisions that matter: what leaders must do differently now

We close by focusing on the choices institutions can no longer defer, and the consequences of getting them wrong

  • Where firms are overinvesting, underinvesting or moving too slowly
  • The trade-offs between speed, control and competitive position
  • What to stop, what to scale and what to redesign
  • What will define winners and laggards over the next 24 months

Production reality: what breaks when AI meets the bank

We move from theory to failure, examining what actually happens when AI systems hit real infrastructure, real customers and real controls

  • Where production systems fail under pressure
  • Integration challenges with legacy architecture and workflows
  • Human oversight, escalation and intervention in practice