Finding Our Place in the Age of AI
AI can generate twenty journey maps in a minute, but someone still decides which one matters. Aspen Snow on how the researcher shifts from conducting research to orchestrating understanding.
AI can generate twenty journey maps in a minute, but someone still decides which one matters. Aspen Snow on how the researcher shifts from conducting research to orchestrating understanding.
The IDMP Ontology turns the implementation of ISO IDMP Standards into consistent, connected, AI-ready data. See how collaborators built this open, vendor-neutral foundation with the Pistoia Alliance.
36 pharma and life science experts mapped the future of the FAIR data ecosystem in a room in London. Here is what they found, and what it means for your data strategy.
The rulebook on controlled substances keeps widening, and the supply chain keeps shifting. The success of teams responsible for compliance and shipping lies in exchange and prevention.
Once anyone can spin up an AI agent, the challenge isn’t explaining how AI decides, it’s designing what role it plays. Stijn Janssen proposes a new discipline: Actor Experience.
In life sciences, the product isn’t the software, it’s the therapy. This opening UXLS article explores why that makes UX fundamentally different and strategic.
Brought in late, forgotten after launch. That’s the project mindset. This article shows how a product mindset involves UX earlier, measures its value, and keeps it embedded.
Fragmented organizations leave UX potential untapped and practitioners isolated. Read how Communities of Practice thrive, what derails them, and how to start one.
The latest release of the industry’s shared digital language for medicinal product data adds structured packaging support, answering change requests raised by the group of experts who guide the ontology’s development.
This article explains how the IDMP Ontology bridges the gap between ISO IDMP standards and real-world implementation, enabling trusted, interoperable medicinal product data.
Clinical trial data is often difficult to find, integrate and reuse. This article introduces FAIR4Clin, the Pistoia Alliance’s practical guide to implementing FAIR principles across the clinical study lifecycle, helping organisations build data that is ready for regulatory use, cross-study analysis and AI.
Calling all Pistoia Alliance members — we’ve got a new book club idea, and we want your input before we get it off the ground.