AI is everywhere—and so is the jargon. Agent, copilot, assistant, LLM, RAG. These terms dominate headlines, yet they’re often used interchangeably, leaving business and data leaders unsure of what they really mean.
This webinar cuts through the buzzwords with a clear, practical framework for understanding today’s AI landscape. We’ll explore how assistants differ from copilots, why agents represent a major shift in autonomy, and what it all means for analytics and decision-making. Along the way, we’ll discuss the critical role of semantic layers in giving AI the context and guardrails it needs to be trustworthy.
In this conversation with VP of Product Strategy, Ryan Dolley, and Field CTO, Peter Fedorocko, you’ll learn:
🤖 AI vocabulary made simple: Clear distinctions between assistants, copilots, and agents, with real-world examples.
🤖 Practical use cases: When and how to apply each type of AI in analytics and business workflows.
🤖 Governance & trust: Why semantic layers and guardrails matter to prevent errors and hallucinations.
🤖 The future of AI in analytics: Where the technology is heading and how to prepare your organization.
