Sisense has taken a significant leap in the world of data analytics by introducing an embeddable generative AI chatbot and natural language narration capabilities, allowing customers to query data and ask follow-up questions without needing to write code. This new feature is currently in beta testing and is expected to be publicly available within the next few months. The tool enables users to interact with data using true natural language, receive data visualizations, and even suggests follow-up questions that lead to deeper exploration and analysis. What sets Sisense apart from its competitors is the integration of its semantic layer with generative AI capabilities, which drives value and enables the right type of data enrichment. This feature is particularly noteworthy as it addresses the accuracy issues that have plagued generative AI outputs. The combination of multiple large language models, Sisense’s knowledge graph, and proprietary data is a game-changer in the world of data management and analytics.
Sisense Unveils Embeddable AI Chatbot
Sisense recognizes where their customers are in their journeys, and for me, the marriage of existing AI capabilities with GenAI and [large language models] drives the value here.
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