Case Study: Seismic enhances meeting summarization and content recommendations with IBM watsonx.ai

A IBM Case Study

Preview of the Seismic Case Study

Seismic advances meeting summarization and content recommendations capabilities with watsonx

Seismic, the global leader in enablement, wanted to help customers quickly capture and share insights from fast-paced meetings, but needed a way to improve meeting summarization and content recommendations. To advance this effort, Seismic partnered with IBM and used IBM watsonx.ai to build and refine an enterprise-grade generative AI solution for processing meeting transcripts and supporting collaboration tools.

IBM worked with Seismic to develop a minimum viable product, improve transcript chunking and processing, embed AI more seamlessly into the platform, and provide Terraform support plus developer enablement. As a result, Seismic gained enhanced meeting summarization and recommendation capabilities with better performance and easier integration with Zoom, Microsoft Teams, and Webex, while also laying the groundwork for future IBM-powered use cases such as GenAI search and natural language to SQL.


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Seismic

Charlie McCarter

Global Strategic Account Director


IBM

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