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AWS Telecommunications Taiwan

Chunghwa Telecom

Document Processing · Enterprise Knowledge Search · IT Operations Automation · Marketing Personalization · Real-time Analytics · Risk Management · Security and Compliance · System Migration

Furthermore, Chunghwa Telecom needed a platform with robust security controls. To improve artificial intelligence (AI) data security and governance, the company migrated its generative AI projects to AWS.

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The first generative AI solution, the SDLC assistant, has saved developers an estimated 13 percent of their time in generating SDLC documentation.

Reported impact

Business outcome

Since transitioning to Amazon Bedrock, Chunghwa Telecom innovated three generative AI applications: a software development lifecycle (SDLC) assistant, a virtual English teacher, and a generative AI marketing assistant. The first generative AI solution, the SDLC assistant, has saved developers an estimated 13 percent of their time in generating SDLC documentation. Because Chunghwa Telecom has several hundred information systems, with several hundred projects completed each year, its developers typically juggle multiple assignments.

  • Compliance
  • Cost Reduction
  • Customer Experience
  • Risk Reduction
  • Scalability

Solution

Chunghwa Telecom is one of the largest integrated telco providers in Taiwan. To improve artificial intelligence (AI) data security and governance, the company migrated its generative AI projects to AWS. Chunghwa Telecom had prior experience creating virtual spokespersons, having deployed Amazon Transcribe and Amazon Polly to build speech-activated applications for customer service. Additionally, Chunghwa Telecom values how Amazon Bedrock neither monitors or reviews content, nor uses it to improve the base models, nor shares content with third-party model providers. Chunghwa Telecom switched to Amazon Bedrock, accelerating the development of generative AI applications. With Amazon Bedrock, Chunghwa Telecom is saving developer hours and has also developed an immersive, interactive virtual English teacher for the first time. Since transitioning to Amazon Bedrock, Chunghwa Telecom innovated three generative AI applications: a software development

Data flow

processing runs on Amazon Bedrock; and outputs are exposed through Amazon Polly for the AI assistant workload.

Solution architecture

2 components · 2 layers
  1. Compute
    • Amazon Bedrock Runs core compute or model execution for the AI assistant workload.
  2. Serving
    • Amazon Polly Runs core compute or model execution for the AI assistant workload.

Evidence from the source

Additionally, Chunghwa Telecom values how Amazon Bedrock neither monitors or reviews content, nor uses it to improve the base models, nor shares content with third-party model providers.
Chunghwa Telecom has been working with Amazon Web Services (AWS) for several years and chose to build and scale new generative AI solutions.
Furthermore, Chunghwa Telecom needed a platform with robust security controls.
Jason Lin, vice president of information technology group at Chunghwa Telecom, explains, “The scope and scale of our engagement with AWS has increased, mainly because AWS has an incredibly secure cloud infrastructure, enhancing the speed and agility of security automation.” Amazon Bedrock offers several capabilities to support Chunghwa Telecom’s security and privacy requirements.
The service has achieved Health Insurance Portability and Accountability Act (HIPAA) eligibility and General Data Protection Regulation (GDPR) compliance—both important for the telco’s international partnerships.
To improve artificial intelligence (AI) data security and governance, the company migrated its generative AI projects to AWS.
Transparency Evidence & methodology 75/100 reference value · 90% 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 value75/100
  • 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 scale5/10
    Rewards evidence of a live or scaled deployment and meaningful integration scope.
Evidence confidence90%
  • 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 evidence20/20
    6 direct source quotes retained.
  • Date provenance8/10
    The publication date comes from publisher-controlled metadata.
  • Source transparency9/10
    2 source references 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. AWS

    Chunghwa Telecom customer story

    First-party
    https://aws.amazon.com/solutions/case-studies/case-study-cht/
    Source type
    Vendor-published customer story
    Published
    Apr 17, 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. Chunghwa Telecom

    Contact Us | ChungHwa Telecom CHT.com.tw

    First-party
    https://www.cht.com.tw/en/home/cht/esg/interaction/contact-us

    Address: No.21-3, Sec. 1, Xinyi Rd., Taipei City, Taiwan (R.O.C.) (CHT Headquarters).

    Source type
    Official company website
    Supports
    • Region

Date evidence

Not separately sourced Industry, Company size. Treat these normalized attributes as lower-confidence until a dedicated source is added.

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