Tableau Agent transforms the way you interact with data. Join us to see how integrating this AI assistant for analytics with your Salesforce toolkit accelerates your data journey.
Important: This session is first come, first seated. You do not have a reserved seat.
, Director, Product Marketing, Salesforce
, Product Management Senior Manager, Salesforce
Role: Data Analyst
Product: Tableau, Data 360
Topic: Artificial Intelligence
Session Level: Beginner
Session Type: Theater
Tuesday, Sep 179:00 AM - 9:20 AM PDT
(4:00 PM - 4:20 PM GMT)
Moscone West, L3, Tableau Theater
Thursday, Sep 199:30 AM - 9:50 AM PDT
(4:30 PM - 4:50 PM GMT)
Moscone West, L3, Tableau Theater
Thursday, Sep 1910:30 AM - 10:50 AM PDT
(5:30 PM - 5:50 PM GMT)
Moscone South, LL, Content Pavilion, Stage 7
Session Summary by Einstein: At the recent DreamForce conference, the session on Tableau Agent AI analytics for Customer 360 offered attendees a comprehensive look into the transformative power of AI in business analytics. The presenters showcased Tableau Agent's capabilities in assisting users with data-driven decisions, featuring AI assistance for creating calculations, visualizations, and offering guidance on analytics best practices. Insights from the 'state of data and analytics' survey indicated that 91% of business leaders see generative AI as beneficial, a sentiment bolstered by a recent Bain report which indicated that 87% of companies are investing heavily in AI, with an average annual expenditure of $5 million. Demonstrations included the use of Tableau Pulse for monitoring important metrics, the seamless integration of predictive models from Data Cloud with Tableau, and the power of Tableau Agent to assist in data exploration and visualization.
Key Takeaways by Einstein:
• Tableau Agent enhances the analytics workflow by offering conversational AI capabilities via an assistive agent for analytics, allowing for a more intuitive and efficient data exploration process.
• Through the use of generative AI, Tableau Pulse provides business users personalized and proactive insights, crucial for effective decision-making.
• The session underscored the synergy between various Salesforce products, including Data Cloud and Einstein AI, to deliver a cohesive and powerful analytics experience.
With sessions and hands-on activities led by product experts, visionaries, and fellow Trailblazers, Dreamforce offers a deep dive into the latest in CRM + AI + Data + Trust.
Merlinda Lu
Salesforce Developer, IBM
We use cookies on our website to improve website performance, to analyze website usage and to tailor content and offers to your interests.
By clicking “Accept All Cookies”, you consent to us placing these cookies. By clicking “Do Not Accept”, you reject the usage of such cookies. We always place cookies that do not require consent, which are necessary for the website to work properly.
For more information about the different cookies we are using, read the Privacy Statement. To change your cookie settings and preferences, click the Cookie Consent Manager button.
Cookie Consent Manager
Cookie Consent Manager
General Information
Required Cookies
Functional Cookies
Advertising Cookies
General Information
We use three kinds of cookies on our websites: required, functional, and advertising. You can choose whether functional and advertising cookies apply. Click on the different cookie categories to find out more about each category and to change the default settings.
Privacy Statement
Required Cookies
Always Active
Required cookies are necessary for basic website functionality. Some examples include: session cookies needed to transmit the website, authentication cookies, and security cookies.
Functional Cookies
Functional cookies enhance functions, performance, and services on the website. Some examples include: cookies used to analyze site traffic, cookies used for market research, and cookies used to display advertising that is not directed to a particular individual.
Advertising Cookies
Advertising cookies track activity across websites in order to understand a viewer’s interests, and direct them specific marketing. Some examples include: cookies used for remarketing, or interest-based advertising.
