Microsoft Healthcare Denmark

Novo Nordisk

Developing high-quality medicine is a resource-intensive endeavor that requires collaboration across Novo Nordisk. Novo Nordisk aimed to scale a pipeline of drug discovery, development, and data science capabilities with AI and machine learning.

Accelerating scientific discovery: AI and more than 100 years of data With more than 100 years of insulin research, Novo Nordisk has an extensive amount of data and core expertise around diabetes.

Reported impact

Business outcome

Novo Nordisk aimed to scale a pipeline of drug discovery, development, and data science capabilities with AI and machine learning. Here at Novo Nordisk, a culture of innovation is unlocking potential through transformation at scale.

  • Scalability

Solution

Novo Nordisk used Azure OpenAI Service, Azure Kubernetes Service, Microsoft Dynamics 365 to modernize operations with Microsoft cloud and AI services. Developing high-quality medicine is a resource-intensive endeavor that requires collaboration across Novo Nordisk. Novo Nordisk aimed to scale a pipeline of drug discovery, development, and data science capabilities with AI and machine learning. Key implementation elements included Azure OpenAI Service generates natural-language responses and task automation for the solution; Azure Kubernetes Service runs containerized application services at scale on Azure; Microsoft Dynamics 365 provides the common business process layer that standardizes operations; Power BI delivers reports and dashboards to business users. The solution also connects with Microsoft Research, helping the new platform fit into existing operations. Source metrics include Accelerating scientific discovery: AI and more than 100 years of data With more than 100 years...

Solution architecture

6 components · 4 layers
  1. Compute
    • Azure OpenAI Service Generates natural-language responses and task automation for the solution.
    • Azure Kubernetes Service Runs containerized application services at scale on Azure.
    • Microsoft Azure Hosts the application, data, and integrations on scalable cloud infrastructure.
  2. Storage
    • Azure Cosmos DB Stores application state and knowledge or interaction data.
  3. Serving
    • Power BI Delivers reports and dashboards to business users.
  4. Orchestration
    • Microsoft Dynamics 365 Provides the common business process layer that standardizes operations.

Architecture clues

  • Runs containerized workloads on Azure Kubernetes Service for scale and resiliency.

Evidence from the source

Accelerating scientific discovery: AI and more than 100 years of data With more than 100 years of insulin research, Novo Nordisk has an extensive amount of data and core expertise around diabetes.
Developing high-quality medicine is a resource-intensive endeavor that requires collaboration across Novo Nordisk. Novo Nordisk aimed to scale a pipeline of drug discovery, development, and data science capabilities with AI and machine learning.
Novo Nordisk aimed to scale a pipeline of drug discovery, development, and data science capabilities with AI and machine learning. Here at Novo Nordisk, a culture of innovation is unlocking potential through transformation at scale.
Transparency Evidence & methodology 66/100 reference value · 83% confidence · 2 sources

Review how this reference was scored and trace each normalized claim back to its documented source.

01

Scoring methodology

How scores are calculated

Customer Reference Value measures usefulness as a customer reference. Evidence Confidence measures the quality and traceability of available evidence, not independent verification.

Customer reference value66/100
  • Problem clarity20/20
    Measures whether the customer's operational problem is specific enough to compare.
  • Implementation depth20/25
    Rewards named components, data flow, integrations, and architecture detail.
  • Outcome specificity16/20
    Measures whether the reported benefit is concrete rather than a generic claim.
  • Quantified impact0/25
    0 metrics describe measurable impact.
  • Deployment scale10/10
    Rewards evidence of a live or scaled deployment and meaningful integration scope.
Evidence confidence83%
  • Source authority20/25
    The main evidence is an official vendor-published customer story.
  • Claim traceability23/25
    11 of 12 key fields link to a named source.
  • Direct evidence15/20
    3 direct source quotes retained.
  • Date provenance10/10
    The publication date comes from the source page or publisher.
  • Source transparency9/10
    2 source references document publisher, URL, authority, retrieval, and supported fields.
  • Implementation specificity6/10
    Rewards source-backed components, data flow, quantified impact, and a specific outcome.
02

Traceability

Sources & provenance

Field coverage shows which facts each source supports. Dates are shown only when documented by the source.

  1. Microsoft

    Novo Nordisk customer story

    First-party
    https://www.microsoft.com/en/customers/story/18752-novo-nordisk-azure
    Source type
    Vendor-published customer story
    Published
    Oct 4, 2024
    Supports
    • Customer
    • Business problem
    • Solution
    • Products
    • Solution components
    • Data flow
    • Integrations
    • technical area
    • use case category
    • Business outcome
    • outcome category
    • Metrics
    • Architecture
    • evidence quotes
    • Publication date
  2. Novo Nordisk

    2025 at a glance - Novo Nordisk Annual Report 2025

    First-party
    https://annualreport.novonordisk.com/2025/introducing-novo-nordisk/2025-at-a-glance.html

    69,505 employees worldwide (77,349 in 2024).

    Source type
    official company website
    Supports
    • Company size

Date evidence

  • Published on source page Oct 4, 2024 · Microsoft · First-party
    Open date source
Not separately sourced Industry, Region. Treat these normalized attributes as lower-confidence until a dedicated source is added.