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5 Stellar Tricks: Blast Off with Generative AI in Tableau
Want to work smarter? Discover powerful time-saving generative AI prompts to release the potential of your data. Learn how gen AI enhances data generation, cleaning, integration, custom code and more.
Important: This session is first come, first seated. You do not have a reserved seat.

, Lead Solution Engineer, Salesforce

, Senior Manager, Customer Success, Tableau, Salesforce, Salesforce

Role: Data Analyst, IT
Product: Tableau, Einstein
Topic: Artificial Intelligence
Session Level: Beginner
Session Type: Theater
  • Tuesday, Sep 174:30 PM - 4:50 PM PDT
    (11:30 PM - 11:50 PM GMT)
    Moscone West, L3, Tableau Theater
  • Wednesday, Sep 182:00 PM - 2:20 PM PDT
    (9:00 PM - 9:20 PM GMT)
    Moscone West, L3, Tableau Theater
  • Thursday, Sep 191:00 PM - 1:20 PM PDT
    (8:00 PM - 8:20 PM GMT)
    Moscone West, L3, Tableau Theater
  • Thursday, Sep 193:00 PM - 3:20 PM PDT
    (10:00 PM - 10:20 PM GMT)
    Moscone West, L2, Room 2000
Session Summary by Einstein: At DreamForce conference, Jo and Grant, presented on how analyst can harness the power of GenAI to enhance the Tableau analytics experience. Through their fictional ice cream truck business, Rolling Cones, they showcased how generative AI can streamline data collection and transformation, fast track analysis and insight generation and optimise the way insights are communicated and put into the flow of work. The dynamic duo highlighted how analysts can leverage GenAI to write custom code for a range of use cases including pulling data using APIs, web scraping data and writing HTML code to embed Tableau dashboards on websites. The framework and base code provided by GenAI can save hours of analyst time and effort, enabling analysts to work smarter and faster. Another GenAI hack highlighted is the ability to bring creativity to the analytics process through the creation of custom colour palettes to make dashboards pop. There are many more examples of GenAI and Tableau use cases.
Key Takeaways by Einstein:

• Generative AI significantly expedited the process of data transformation and analysis, identifying key expansion regions based on customer area codes and weather patterns.

• Despite AI's efficiency in generating code and analyzing data, human oversight remains crucial for interpreting results and applying them strategically to business goals.

• Customization of data visualization tools like Tableau with brand-specific elements such as color palettes can enhance the communication of insights to stakeholders.

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Salesforce Developer, IBM