All videos
0:00 / 0:00
ai

Why AI Needs Context: Building Trusted Analytics with Tableau

Salesforce Product Center6 July 2026Watch on YouTube

Part of series

Ep. 10 · Tableau Next: AI-analytics

Salesforce introduceert Tableau Next als agentic AI-analytics platform met proactieve zakelijke inzichten via Slack.

View the series

Description

Learn how Tableau helps organizations build trusted AI by grounding analytics agents and AI-powered experiences in business context, governed data, and semantic intelligence. This session explores how Tableau serves as a context engine that connects business logic, metrics, metadata, and organizational knowledge to improve AI accuracy, reduce hallucinations, and deliver more reliable insights. Discover how semantic models, trusted data foundations, and agentic analytics enable teams to make faster decisions with confidence while ensuring AI systems understand the meaning behind the data they analyze. #Salesforce #Tableau #AgenticEnterprise #Agentforce #TableauConference2026 Learn more about Tableau: https://www.salesforce.com/analytics/ --------- Subscribe to Salesforce’s YouTube Channel: http://bit.ly/SalesforceSubscribe Learn more about Salesforce: https://www.salesforce.com Facebook: https://www.facebook.com/salesforce Twitter: https://www.twitter.com/salesforce Instagram: https://www.instagram.com/salesforce LinkedIn: https://www.linkedin.com/company/salesforce About Salesforce: Improve customer relationships with Salesforce, the #1 AI CRM where humans with agents drive customer success together. Our integrated platform pairs your unified customer data with trusted agents that can assist, take action autonomously, and hand off seamlessly to your employees in sales, service, marketing, commerce, and more. Disclaimer: This video is for demonstration purposes only. All account data depicted is fictional and does not contain personally identifiable information (PII). This content is intended solely to illustrate product functionality in a simulated environment.

What you'll learn

  • AI systems need context from analytics platforms to deliver reliable and accurate results while reducing hallucinations
  • Semantic models and trusted data foundations connect business logic, metrics, and metadata so AI understands the meaning behind data
  • Tableau acts as a context engine enabling agentic analytics, allowing teams to make faster decisions with greater confidence

Frequently asked questions

How does context reduce hallucinations in AI systems?
By providing AI systems with context through semantic models and trusted data foundations, they better understand business logic and the meaning behind data, resulting in more accurate and reliable outputs.
What is Tableau's role as a context engine?
Tableau connects business logic, metrics, metadata, and organizational knowledge to AI agents and analytics experiences, enabling these systems to better understand data and deliver reliable insights.
What are the benefits of agentic analytics?
Agentic analytics enables teams to make decisions faster and with greater confidence, thanks to AI agents that can act autonomously and seamlessly hand off to employees.
What components are essential for trusted AI in analytics?
Semantic models, trusted data foundations, and organizational knowledge are essential because they help AI systems fully understand business context and deliver reliable analyses.

Topics

agentic-aienterprise-aidata-governanceai-reliabilitysemantic-intelligence