Summary: Overview and demonstration of how modern SaaS analytics platforms are embedding leading AI tools to improve usability and performance. This session will include a demonstration of practical use cases that improve analytic capabilities. Databricks will be profiled.

Outcome: Understanding of how AI-embedded analytics platforms accelerate insight generation

Takeaway: Practical use cases for AI-enhanced analytics in mid-market organizations

Key Discussion Points:

• The evolution of analytics platforms: from static dashboards to AI-assisted insights
• How generative AI changes the analytics workflow
• Databricks overview: architecture and AI capabilities
• Natural language queries: asking questions in plain English
• Automated insight generation: letting AI surface what matters
• Data preparation and quality: AI-assisted data cleaning
• Visualization recommendations: AI-suggested chart types
• Practical demonstration: real use cases in action
• Integration with existing data infrastructure
• Evaluating AI-embedded analytics platforms for your organization