“Other use cases include the engine anticipating questions that users might ask based on what’s already in the data or taking hundreds of insights and explaining them using very easy to understand summaries,” Arellano said.Įinstein GPT, the foundation for Tableau GPT, comprises various large language models (LLMs) including those from OpenAI, Cohere, and internal, proprietary Salesforce models, noted Sanjeev Mohan, principal analyst at independent consulting firm SanjMo.Ĭloud-based products, according to Henschen, tend to have a leg up in analyzing user behaviors and data interactions at scale. The generative AI engine introduces a number of really exciting use cases where for example, analyzing data feels more like a conversation via a chatbot as opposed to drag and drop,” said Pedro Arellano, head of product at Tableau. “Tableau GPT can enhance and automate things like analyzing data, exploring it, sharing it, consuming it. Salesforce’s business intelligence platform, Tableau, is getting generative AI features in the form of Tableau GPT, built on the company’s proprietary Einstein GPT AI engine, which has also been integrated into other products such as Slack.
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