What challenges did EBSCO Information Services face before AI implementation?

Researchers struggled with time-consuming evaluation of dense academic articles. Users needed to quickly find relevant content, read full text, and summarize abstracts across a large journal library.

What was the impact of the AI solution?

Reduced response time from about 10 seconds to under 5 seconds. Improved latency by 30-40%. Cut inference costs by 98%. Generated more than 120,000 summaries in six months.

Source

EBSCO accelerates academic article research with generative AI summaries on Amazon Bedrock (Amazon Nova Lite)

Use case typeInvestment researchUpdated Jun 13, 2026

EBSCO Information Services uses Amazon Nova Lite to optimize the research experience and inference costs. EBSCO built an AI Insights feature that generates on-demand insights into top concepts in academic articles, with multilingual support and runtime full-text prompting.

Organization: EBSCO Information Services
Industry: Education
Location: United States
Published: May 2026

Reported outcomes

−98%

costCost savings

10 secondstime5 secondstime+40%quantified impact

Strategic outcomes

New product / capabilityLaunched on-demand AI article insightsCustomer experience & trustImproved research experience and accessibilitySpeed & agilityDelivered faster article summariesCost efficiencySignificantly lowered inference costs

Catalog median for cost savings deployments: −45% across 345 reported metrics. Compare benchmarks →

Primary read

Use case focus

Showing 3 of 3

1Generative AI Summarization
2Research Assistant
3Content Discovery

Researchers struggled with time-consuming evaluation of dense academic articles.
Users needed to quickly find relevant content, read full text, and summarize abstracts across a large journal library.

Users click an AI Insights button on an article.
The system fetches article full text at runtime, injects it into a prompt, and sends it to Amazon Bedrock.
Amazon Nova Lite generates 2 to 5 bulleted insights, with streaming responses and translation into the user's selected language.

Technologies

Amazon Bedrock Amazon Nova Lite Amazon Nova Foundation Models

Reduced response time from about 10 seconds to under 5 seconds.
Improved latency by 30-40%.
Cut inference costs by 98%.
Generated more than 120,000 summaries in six months.

Architecture

Users click an AI Insights button on an article. The system fetches the article full text at runtime, injects it into a prompt, and sends the prompt to Amazon Bedrock. Amazon Nova Lite then generates 2-5 bulleted insights and streams the response, with automatic translation support for user-selected languages. The feature runs in memory at runtime and was developed with AWS support and the AWS Generative AI Innovation Center.

Implementation partners1

AWS Generative AI Innovation Center

Sources & evidence1

Groundedness: 5/5Type: Customer StoryPublished: May 27, 2026Publisher: AWSEvidence: PrimaryConfidence: High

Primary source

AI-generated summary. Verify important details with the linked sources before relying on this case.

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Customer evidence