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From now on, AI should help you to gain insights from data in Tableau. Tableau GPT uses generative AI to answer questions about data, while Tableau Pulse visually
From now on, AI should help you to gain insights from data in Tableau. Tableau GPT uses generative AI to answer questions about data, while Tableau Pulse visually highlights relevant data.
At the Tableau conference, parent company Salesforce is presenting two AI-based solutions for its analysis tool: Tableau GPT and Tableau Pulse. Tableau GPT is the foundation of Tableau’s new capabilities and is based on Einstein GPT, which Salesforce announced to the public in early March. So, like the Einstein version, the AI for Tableau uses generative AI models, similar to ChatGPT. “AI will power Tableau in this new world,” expects CEO Ryan Aytay.
For Tableau GPT, Salesforce uses AI capabilities differently. The artificial intelligence gets access to the data in Tableau and can derive insights from it. This is done via a console to which users can ask questions in natural language. Answers also follow in verbal form, accompanied by graphics.
Tableau Pulse is a new dashboard for Tableau that uses Tableau GPT. Here you can indicate which data you consider important and want to track. Think about things like late payments or orders. Pulse monitors this data via AI and alerts you if a specific parameter is out of norm. You can also use Pulse to ask additional questions about data and the potential impact of certain trends.
During a demo, we see how Pulse tracks a company’s revenue as well as device sales. Pulse has found that sales are increasing at a surprising spike. The user can ask where this spike is coming from, after which Pulse, via the Tableau GPT-AI and based on the company’s data, determines that air fryer sales are increasing. During the demo, we see the user asking what information is still important, after which Pulse again demonstrates through data, text and a handy graph that the spike in sales can exhaust available inventory.
Salesforce wouldn’t be Salesforce if Pulse’s capabilities weren’t neatly integrated with Slack. This allows you to share insights with a colleague directly from Tableau Pulse. In the case of the demo, the user can show the stock graphic directly in Slack to a responsible colleague.
Tableau also works with Salesforce Data Cloud (formerly Genie) to access relevant business data from various sources in real time. This data should inform Tableau AI and Pulse further.
When presenting Tableau GPT and Tableau Pulse, what really stands out is the simplicity Salesforce wants to bring to users through AI. Artificial intelligence gives non-technical users the power to extract insights from data in spoken language and quickly turn them into actions. Based on a broad trend, you can continue to ask questions in human language, after which you quickly discover things that you can translate into concrete actions.
The combination of tableau, AI and the data cloud promises fireworks. Finally, Salesforce is moving into the waters of other data specialists, especially ThoughtSpot, at great speed. Last year, the company said it wants to become the Google of business intelligence, allowing users to ask questions about data through a search box. What Salesforce is proposing here is very reminiscent.
Tableau GPT and Tableau Pulse will be available in pilot versions later this year.
Source: IT Daily
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