Anna Codina

Senior Director Strategy & Business Development SciY

Agenda Day 1

Scientific data remains inaccessible when trapped within instruments,

proprietary formats and isolated applications. Without consistent

connectivity, context and governance at the point of generation, laboratories

cannot reliably apply AI or extend scientific information across the product

lifecycle.

• Close the gap between AI ambition and laboratory reality by resolving

fragmented, inaccessible and insufficiently contextualised scientific data

• Accelerate instrument onboarding and data accessibility by eliminating

dark data across new and legacy laboratory technologies at scale

• Unlock intelligent workflow orchestration and AI-driven experimentation

through connected, contextualised and reusable scientific data

Composable architectures promise greater flexibility as scientific workflows and

technology requirements evolve. However, connecting modular applications

through APIs does not automatically create orchestration. Participants will

define the capabilities needed to coordinate data, workflows and AI agents

without replacing or repeatedly reconfiguring the wider laboratory ecosystem.

• Prevent costly workflow reconfiguration by defining reusable capabilities

that can be combined and adapted as scientific requirements change

• Move beyond basic system connectivity through common controls that coordinate

data, applications, automation and AI agents across end-to-end workflows

• Prepare laboratories for AI-driven decision-making by identifying the data,

governance and adoption requirements needed to progress towards labin-

the-loop orchestration

Check out the incredible speaker line-up to see who will be joining Anna.

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