Astellas Pharma
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Astellas Pharma has 2 source-linked AI deployments documented in AIUseCaseHub, across 1 industry and 1 country. Key partners include Accenture, PwC.
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Hyperscaler mix
See whether Astellas Pharma's cases are powered by Microsoft, AWS, GCP, or multiple providers.
Use case portfolio
Use case types at Astellas Pharma
AI development platform leads with 1 of 2 documented cases; 2 distinct types appear across the visible portfolio.
Evidence persistence
1 of 1 judgeable case is still publicly referenced.
Durability of public evidence, not whether systems remain in production. How this is measured →
Technology snapshot
What Astellas Pharma uses across visible cases
3 named technologies are mentioned across 2 cases, led by Azure.
Capability mix
No capability flags are attached to these cases yet.
Technologies mentioned
All Use Cases (2)
Astellas Pharma Unifies Global Operations with Agile, AI-Powered Cloud Platform
Astellas Pharma in Japan transformed its IT core platform by migrating global operations onto a cloud-based system, powered by Microsoft Azure and SAP S/4HANA, with Accenture as th...
Astellas Pharma accelerates clinical trial insights with unified data platform
Astellas Pharma, a Tokyo-based global pharmaceutical company, aimed to modernize and streamline its R&D data processing to enhance clinical trial outcomes. Historically, manual data curation from multiple disconnected sources delayed key insights and decision-making across its portfolio of trials. In partnership with PwC and Microsoft, Astellas developed an integrated data platform on Microsoft Azure, harmonizing data from 48 disparate source systems into a central, real-time repository. This transformation empowered stakeholders with self-serve dashboards, instant customizable reporting, and advanced analytics, significantly speeding up processes previously taking months. Executives gained an improved ability to detect issues like low participant recruitment or study delays, and quickly act on these insights. The scalable Azure-based solution delivered new operational efficiencies and now supports predictive and prescriptive analytics capabilities to further optimize clinical operations and patient outcomes.Astellas initiated the project to address outdated, manual, and error-prone data curation in clinical trials. Disparate, siloed internal and external data systems made important insights slow to surface. By working with PwC and Microsoft, Astellas brought 48 independent data sources together into one dependable platform for actionable insights and real-time analytics, fundamentally transforming its R&D oversight process.
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