Achieving 300% Productivity Boost for an EdTech Leader with GenAI Using Amazon Bedrock

A leading EdTech platform that empowers students and professionals with insights, reviews, and guidance, focusing on content creation and continuous updates.

The Problem Statement

The client's content team struggled with time-consuming research processes due to a vast volume of internal documents, public blogs, and frequently updated content. Manually searching for relevant information often led to delays in content creation.

Challenges

Overwhelming amount of content made it difficult to quickly locate accurate information.

Extensive manual research consumed significant time and resources.

Maintaining an up-to-date knowledge base was an ongoing struggle.

Solutions

OpsTree implemented a GenAI solution using Amazon Bedrock’s Retrieval-Augmented Generation (RAG) model to optimize the research process. The approach involved:

Knowledge Base Creation

We consolidated all internal and external resources into a unified knowledge base, ensuring seamless access to information. Real-time updates were implemented to keep the content fresh and relevant, addressing the challenge of outdated materials.

Integration with GenAI

To enhance research efficiency, we developed a Retrieval-Augmented Generation (RAG) model using Amazon Bedrock. This allowed for faster, more accurate content retrieval, tailored to the platform’s specific needs.

Customization for the EdTech Platform

We fine-tuned the AI model to align with the platform’s tone, style, and content requirements. This ensured that the content team received precise, relevant data, improving their ability to create consistent, high-quality material.

Outcomes

300% Increase in Productivity →

Research time was drastically reduced, leading to a significant boost in overall efficiency.

Efficient Knowledge Management →

Real-time updates ensured the knowledge base was always current.

Streamlined Research Process →

The AI-driven tool provided highly targeted and accurate results, minimizing effort and maximizing efficiency.

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