Microsoft Public Sector Global

IFAD

Enterprise Knowledge Search

With a global mission to eradicate poverty and hunger in some of the world’s most fragile rural communities in developing countries, IFAD (International Fund for Agricultural Development) works hand in hand with governments to fund projects and innovative practices that enable small-scale producers to develop sustainable agricultural practices, transform food systems, and build resilience in the face of some of the biggest global challenges. IFAD needed a better way for its global teams and partners to access and share critical information from and to the remote locations they work in. It wanted a solution that could support seamless configuration and security management, along with the equitable adoption of new tools. Using Microsoft Azure OpenAI Service, Azure AI Search, and Power BI, the organization built Omnidata, a centralized analytics platform that connects data, dashboards, visualizations, and analytics powered by machine learning and AI. The solution gives all personnel fast, direct access to critical data in every region IFAD serves, plus training in analytics and machine learning so they can actively create new tools to address specific day-to-day challenges.

I think we’re just scratching the surface.” “We felt that with artificial intelligence, we could get better insights, improve the targeting of the vulnerable communities we serve, and monitor and adopt the analysis for the best outcomes.” Alvaro Lario, President, IFAD Discover more details CUSTOMER IFAD (International Fund for Agriculture Development) PRODUCTS Azure AI Studio ORGANIZATION SIZE 1,000-9,999 employees COUNTRY Italy BUSINESS NEED Artificial Intelligence INDUSTRY Nonprofit and IGO Explore related stories Stories in this industry Stories about this customer Showing 32 of 98 categories Showing 1-2 of 2 slides Previous slide Next slide We are Microsoft Empowering others Our mission is to empower every person and every organization on the planet to achieve more.
“With Azure AI and Power BI, we’re now able to quickly combine a lot of different information sources, for example, multiple data indicators and thousands of documents on agriculture and rural development, to do analysis.” Thomas Bousios, Director and CIO, IFAD Assessing food systems, populations, and climate According to the United Nations (UN), nearly 45 percent of the global population—3.4 billion people—live in rural areas of countries with developing economies.

Reported impact

Business outcome

January 29, 2024 With a global mission to eradicate poverty and hunger in some of the world’s most fragile rural communities in developing countries, IFAD (International Fund for Agricultural Development) works hand in hand with governments to fund projects and innovative practices that enable small-scale producers to develop sustainable agricultural practices, transform food systems, and build resilience in the face of some of the biggest global challenges. The organization strives to enhance agricultural productivity, improve rural infrastructure, promote inclusive financial services, and foster resilient communities through investments and partnerships with local individuals and organizations.

  • Customer Experience
  • Productivity Improvement
  • Scalability

Solution

IFAD used Azure OpenAI Service, Azure AI Studio, Azure AI Search to surface grounded answers from enterprise knowledge faster. With a global mission to eradicate poverty and hunger in some of the world’s most fragile rural communities in developing countries, IFAD (International Fund for Agricultural Development) works hand in hand with governments to fund projects and innovative practices that enable small-scale producers to develop sustainable agricultural practices, transform food systems, and build resilience in the face of some of the biggest global challenges. IFAD needed a better way for its global teams and partners to access and share critical information from and to the remote locations they work in. It wanted a solution that could support seamless configuration and security management, along with the equitable adoption of new tools. Using Microsoft Azure OpenAI Service, Azure AI Search, and Power BI, the organization built Omnidata, a centralized analytics platform that...

Data flow

Enterprise content from documents, meetings, websites, or internal systems is passed through retrieval and model services so users receive grounded answers inside the target workflow.

Solution architecture

6 components · 3 layers
  1. Compute
    • Azure OpenAI Service Generates natural-language responses and task automation for the solution.
    • Azure AI Studio Provides the workspace for building, testing, and deploying the AI application.
    • Azure AI Search Retrieves enterprise content so answers stay grounded in customer data.
    • Microsoft Azure Hosts the application, data, and integrations on scalable cloud infrastructure.
  2. Serving
    • Power BI Delivers reports and dashboards to business users.
  3. Orchestration
    • Microsoft Dynamics 365 Provides the common business process layer that standardizes operations.

Evidence from the source

I think we’re just scratching the surface.” “We felt that with artificial intelligence, we could get better insights, improve the targeting of the vulnerable communities we serve, and monitor and adopt the analysis for the best outcomes.” Alvaro Lario, President, IFAD Discover more details CUSTOMER IFAD (International Fund for Agriculture Development) PRODUCTS Azure AI Studio ORGANIZATION SIZE 1,000-9,999 employees COUNTRY Italy BUSINESS NEED Artificial Intelligence INDUSTRY Nonprofit and IGO Explore related stories Stories in this industry Stories about this customer Showing 32 of 98 categories Showing 1-2 of 2 slides Previous slide Next slide We are Microsoft Empowering others Our mission is to empower every person and every organization on the planet to achieve more.
January 29, 2024 With a global mission to eradicate poverty and hunger in some of the world’s most fragile rural communities in developing countries, IFAD (International Fund for Agricultural Development) works hand in hand with governments to fund projects and innovative practices that enable small-scale producers to develop sustainable agricultural practices, transform food systems, and build resilience in the face of some of the biggest global challenges. The organization strives to enhance agricultural productivity, improve rural infrastructure, promote inclusive financial services, and foster resilient communities through investments and partnerships with local individuals and organizations.
Using Microsoft Azure OpenAI Service, Azure AI Search, and Power BI, the organization built Omnidata, a centralized analytics platform that connects data, dashboards, visualizations, and analytics powered by machine learning and AI.
With a global mission to eradicate poverty and hunger in some of the world’s most fragile rural communities in developing countries, IFAD (International Fund for Agricultural Development) works hand in hand with governments to fund projects and innovative practices that enable small-scale producers to develop sustainable agricultural practices, transform food systems, and build resilience in the face of some of the biggest global challenges. IFAD needed a better way for its global teams and partners to access and share critical information from and to the remote locations they work in. It wanted a solution that could support seamless configuration and security management, along with the equitable adoption of new tools. Using Microsoft Azure OpenAI Service, Azure AI Search, and Power BI, the organization built Omnidata, a centralized analytics platform that connects data, dashboards, visualizations, and analytics powered by machine learning and AI. The solution gives all personnel fast, direct access to critical data in every region IFAD serves, plus training in analytics and machine learning so they can actively create new tools to address specific day-to-day challenges.
“With Azure AI and Power BI, we’re now able to quickly combine a lot of different information sources, for example, multiple data indicators and thousands of documents on agriculture and rural development, to do analysis.” Thomas Bousios, Director and CIO, IFAD Assessing food systems, populations, and climate According to the United Nations (UN), nearly 45 percent of the global population—3.4 billion people—live in rural areas of countries with developing economies.
Transparency Evidence & methodology 80/100 reference value · 89% confidence · 1 source

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 value80/100
  • Problem clarity20/20
    Measures whether the customer's operational problem is specific enough to compare.
  • Implementation depth15/25
    Rewards named components, data flow, integrations, and architecture detail.
  • Outcome specificity20/20
    Measures whether the reported benefit is concrete rather than a generic claim.
  • Quantified impact15/25
    1 metric describe measurable impact.
  • Deployment scale10/10
    Rewards evidence of a live or scaled deployment and meaningful integration scope.
Evidence confidence89%
  • Source authority20/25
    The main evidence is an official vendor-published customer story.
  • Claim traceability21/25
    10 of 12 key fields link to a named source.
  • Direct evidence20/20
    5 direct source quotes retained.
  • Date provenance10/10
    The publication date comes from the source page or publisher.
  • Source transparency8/10
    1 source reference document publisher, URL, authority, retrieval, and supported fields.
  • Implementation specificity10/10
    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

    IFAD customer story

    First-party
    https://www.microsoft.com/en/customers/story/1729190323007055712-ifad-nonprofit-azure-openai-service
    Source type
    Vendor-published customer story
    Published
    Jan 29, 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

Date evidence

  • Published on source page Jan 29, 2024 · Microsoft · First-party
    Open date source
Not separately sourced Industry, Region, Company size. Treat these normalized attributes as lower-confidence until a dedicated source is added.