Three generative AI use cases for the enterprise

Don't miss the opportunity to stay ahead of the game. The transformative potential of AI technology is already here, offering tangible business value. Explore our top three use cases for generative AI to drive efficiency, innovation, and unique competitive advantage.

Use Case #1 - Call Centers

AI can help call centers in multiple ways. It can generate call summaries by transcribing and extracting essential information, saving time and effort for agents. Furthermore, AI can serve as an agent assistant, offering real-time answers to queries during calls. Additionally, by analyzing call transcripts and emails, AI enables efficient topic monitoring, promptly identifying common issues for effective resolution.



Use Case #2 - Sales Assistant 

Generative AI empowers sales representatives through streamlined processes. Client Information Management automatically extracts and organizes key client details from various sources, enabling efficient data management and personalized sales interactions. Meeting Summarization and Action Items transcribe sales meetings and calls, generating concise summaries and action items for fruther reference. The use cases can go on and on: lead prioritization, personalized outreach, etc. 

Use Case #3 – Q&A and Document Retrieval

AI simplifies Q&A and Document Retrieval, transforming data management and accessibility. By creating embeddings for diverse company data sources, like emails, Slack messages, and meeting transcripts, AI enables semantic search for extracting relevant knowledge. Through a user-friendly interface, insights are swiftly compiled into concise notes, facilitating informed decision-making, seamless collaboration, and heightened productivity.


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Key contacts

Jan Procházka - DataSentics

Jan Procházka

DataSentics CTO; Data + AI Platform Lead