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Microsoft Telecommunications United States

Windstream

Customer Service Automation · Document Processing · Enterprise Knowledge Search

Windstream recognized this challenge and utilized generative AI to assist new employees with questions related to Windstream policies, products, and services. "We're using generative AI to help new employees onboard," Bartels said.

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"We're leveraging Azure Cognitive Services, Cognitive Search, Azure OpenAI, and Davinci for our internal knowledge management solution," explained Bartels.
Looking ahead, Windstream aims to continue its partnership with Azure OpenAI Service and Microsoft to further enhance its AI capabilities.
Russ Bartels, Vice President - OSS, Data & AI at Windstream, initially saw the potential of generative AI to enhance data science on top of the company's big data platform.
Windstream's next move was to utilize Azure AI , including cognitive search and OpenAI's Davinci, to index their vast amount of internal social media data and documents

Reported impact

Business outcome

Russ Bartels, Vice President - OSS, Data & AI at Windstream, initially saw the potential of generative AI to enhance data science on top of the company's big data platform.

  • Compliance
  • Cost Reduction
  • Productivity Improvement
  • Speed to Market

Solution

Windstream recognized this challenge and utilized generative AI to assist new employees with questions related to Windstream policies, products, and services. "We're using generative AI to help new employees onboard," Bartels said. In the fast-paced and ever-evolving landscape of telecommunications, staying ahead of the technological curve is essential for companies seeking to maintain a competitive edge. One such company that has embraced cutting-edge technologies to transform its business is Windstream, a leading telecommunications service provider of advanced network communications and technology solutions for consumers, small businesses With the vision of creating more fluid workstreams and empowering its employees, Windstream turned to generative AI and the Azure OpenAI Service from Microsoft to revolutionize its operations.

Data flow

Source content is gathered from the organization's documents and knowledge repositories, Azure OpenAI Service interprets or generates responses from that content, and the resulting answers or assessments are surfaced to employees or citizens through the application workflow.

Solution architecture

2 components · 1 layer
  1. Compute
    • Azure OpenAI Service Runs the large-language-model features for classification, summarization, retrieval, or conversational responses in the solution.
    • Azure Kubernetes Service Runs the customer's containerized applications and AI services on a managed Kubernetes platform.

Architecture clues

  • Azure Kubernetes Service: Runs the customer's containerized applications and AI services on a managed Kubernetes platform.
  • Azure OpenAI Service: Runs the large-language-model features for classification, summarization, retrieval, or conversational responses in the solution.
  • Customer representatives play a pivotal role in analytics, particularly in topic modeling, summarization, and sentiment analytics for customer support and feedback analysis.
  • In the fast-paced and ever-evolving landscape of telecommunications, staying ahead of the technological curve is essential for companies seeking to maintain a competitive edge.
  • Russ Bartels, Vice President - OSS, Data & AI at Windstream, initially saw the potential of generative AI to enhance data science on top of the company's big data platform.
  • With the vision of creating more fluid workstreams and empowering its employees, Windstream turned to generative AI and the Azure OpenAI Service from Microsoft to revolutionize its...

Evidence from the source

In the fast-paced and ever-evolving landscape of telecommunications, staying ahead of the technological curve is essential for companies seeking to maintain a competitive edge.
Russ Bartels, Vice President - OSS, Data & AI at Windstream, initially saw the potential of generative AI to enhance data science on top of the company's big data platform.
Windstream recognized this challenge and utilized generative AI to assist new employees with questions related to Windstream policies, products, and services.
Windstream's next move was to utilize Azure AI , including cognitive search and OpenAI's Davinci, to index their vast amount of internal social media data and documents
With the vision of creating more fluid workstreams and empowering its employees, Windstream turned to generative AI and the Azure OpenAI Service from Microsoft to revolutionize its operations.
Transparency Evidence & methodology 61/100 reference value · 87% 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 value61/100
  • 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 scale5/10
    Rewards evidence of a live or scaled deployment and meaningful integration scope.
Evidence confidence87%
  • 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 specificity8/10
    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

    Windstream customer story

    First-party
    https://www.microsoft.com/en/customers/story/1724474574137515102-windstream-azure-open-ai-service-united-states
    Source type
    Vendor-published customer story
    Published
    Jan 11, 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 11, 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.

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