Use case type

Accessible learning

This category provides tools that make learning content easier to perceive and use for people with different abilities and language needs. It addresses barriers in reading, listening, and participation across educational and public services.

Use cases

4

Examples

4

Industries

3

Timeline

4 mo

Data updated 1 day ago

Adoption over time

Documented cases per month

By case publish month · completed months only

2 cases documented across 37 months (Jul 23 – Jul 26), peaking at 1 in January 2024.

2 earlier cases before Jul 23 not shown

Each column counts every documented case of this type by its publish month, across the full corpus. The in-progress current month is excluded from columns and surfaced separately, and cases published before the charted window are summarized as earlier cases instead of plotted.

Company examples

Use cases of this type

4 shown from 4 use cases

MicrosoftMay 8, 2025

Aisin enhances accessibility for the deaf with real-time speech transcription

Aisin Corporation, traditionally known for its role in automotive manufacturing, developed the YYSystem—a real-time, AI-powered speech-to-text application to aid communication for deaf or hard-of-hearing individuals. Created using Microsoft Azure AI, including generative AI and translation services, the system can recognize unique speech patterns commonly associated with hearing loss, ensuring high-accuracy transcription, summarization, and translation. Initially intended to help internal employees communicate better during the COVID-19 pandemic, the solution soon proved invaluable for deaf staff. Observing its impact, Aisin scaled YYSystem for use in government offices and in retail, where it now enables better access, communication, and inclusiveness for deaf citizens and customers. This practical AI implementation advances social inclusion through technology and supports public sector accessibility in Japan.

Aisin CorporationPublic Sector
GCPJan 1, 2024

Ateme automated multilingual subtitle generation using Vertex AI and Gemini

Ateme is a French video technology company that automates large-scale multilingual subtitle generation for streaming and broadcast customers.The solution replaces a previously manual process that required transcription, translation, timecode spotting, and technical integration.Ateme integrated Google Cloud generative AI into its existing workflow so subtitles can be generated and delivered in minutes.

AtemeTech & Comms
AlibabaJan 1, 2022

Alibaba Cloud CEN enables University of Auckland to improve access to online teaching systems

During COVID-era travel restrictions, the University of Auckland needed to reengage international students and improve access to its online teaching portal for students remaining overseas.Alibaba Cloud worked with the university’s technical team to design and deploy a cloud-based network architecture using Cloud Enterprise Network (CEN) to provide stable global connectivity, low latency, and flexible scaling for online learning.

University of AucklandEducation
MicrosoftAug 25, 2020

Enhancing Accessibility and Engagement with Microsoft Immersive Reader

Schools are using Microsoft's Immersive Reader to improve text accessibility and comprehension for diverse student groups. Real-time language translation and text-to-speech features are key.

Chicago Public SchoolsGlobalEducation

Common questions

Accessible learning at a glance

How many accessible learning use cases are documented?
The AI Use Case Hub documents 4 real accessible learning deployments across 3 industries, with 4 detailed company examples you can browse.
Which industries adopt accessible learning the most?
Accessible learning is most common in Education (50%), Public Sector (25%) and Tech & Comms (25%).
Which countries lead in accessible learning?
Global leads documented accessible learning deployments, followed by Japan and France.
What technologies are used for accessible learning?
Teams most often build accessible learning with Microsoft Immersive Reader, Azure Cognitive Services and Azure AI.
What AI capabilities power accessible learning?
Across the documented deployments, the most common capability patterns are Voice (50%) and Agent (25%).
What results do companies report from accessible learning?
Across the 4 deployments reporting outcomes, companies most often cite customer experience & trust (75%), new product / capability (50%) and market & geographic expansion (50%). Where impact is quantified, the strongest evidence is in other quantified impact: a median +560% across 1 reported metric.