Salvador Gerda, Author at MIGx – Tailored IT Services

AI Agent Skills in Life Sciences

MIGx cover for Agent Skills in Life Sciences, visualising a reusable AI Skill integrated into an intelligent digital system.

Basel, Switzerland – September 22, 2026 –
Agent Skills in Life Sciences can turn domain expertise, organisational context and governed processes into reusable AI capabilities for more reliable, task-specific work.

Shadow AI in Pharma: Govern the Access Path Before Data Moves

Basel, Switzerland – August 11, 2026 –
This blog explores how Life Sciences organisations can reduce Shadow AI risk by governing access paths, identities, connectors, and sensitive data movement before information leaves controlled environments.

Why IDMP Goes Beyond Traditional Master Data Management

Basel, Switzerland – June 23, 2026 –
This blog explores why IDMP needs more than a golden record, helping Life Sciences organisations move from governed product data to shared product meaning with stronger traceability, interoperability, and AI readiness.

IDMP as the Global Product Backbone in the AI Era

MIGx blog cover for IDMP in the AI era, showing a glowing medicinal product vial at the centre of a dark digital network background with global data connections, representing product identity, interoperability, and AI-ready Life Sciences data

Basel, Switzerland – June 2, 2026 –
This blog explores how IDMP helps Life Sciences organisations turn fragmented product records into a unified product identity, strengthening traceability, consistency, and AI readiness.

Spec-Driven Development for Reliable AI Coding

Barcelona, Spain – April 22, 2026 –
In this whitepaper, we examine the gap between fast AI-assisted coding and governed software delivery, showing how Spec-Driven Development gives teams a clearer way to define behaviour, structure implementation, and improve traceability and reviewability.

The Great AI Divide

Basel, Switzerland – February 10, 2026 –
In this whitepaper, we explore the AI divide and how Knowledge Management protects capability by preserving reasoning, context, and decision logic, so AI use supports the learning journey instead of accelerating forgetting.

Solving the Challenge of Missing Standards for Pre-clinical Data

Basel, Switzerland – January 14, 2026 –
In this whitepaper, we examine why metadata standards remain fragmented in pre-clinical research and how metadata repositories, governance, and cultural adoption can create more consistent, reusable, and reliable data.

FAIR is Dead, Long Live FAIR

Basel, Switzerland – December 18, 2025 –
In this whitepaper, we explore how the FAIR Principles evolved, why their meaning became diluted, and why semantics, metadata, and persistent identifiers are essential for creating machine actionable, interoperable data in the AI era.

Solving the IHD Challenge

Basel, Switzerland – November 18, 2025 –
In this whitepaper, we show how the reuse of Individual Human Data can become compliant and scalable, reducing the friction of consent checks, inconsistent formats, and fragmented systems, and enabling researchers to request, receive, and use clinical data more efficiently.

Risks of AI in Life Sciences

Basel, Switzerland – October 28, 2025 –
In Life Sciences, adopting AI brings new questions of control and accountability. This blog explores the practical risks of building versus buying AI systems, and how governance, validation, and supplier oversight keep innovation compliant and under control.