From the course: Building AI Agents with Snowflake
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Understanding AI agents vs. AI assistants - Snowflake Tutorial
From the course: Building AI Agents with Snowflake
Understanding AI agents vs. AI assistants
Imagine you need to understand why enterprise deals are stalling. With a traditional AI chatbot, you're in charge. You gather the data, upload the files, ask the question, request follow-ups, and piece together insights yourself. You're orchestrating every step. Now imagine an AI system where you simply state your goal, and autonomously determines what data it needs, accesses your sales systems directly, searches through conversations, analyzes patterns, and delivers comprehensive insights with specific recommendations. You define the objective, and the agent figures out how to achieve it. That's the difference we're talking about. In our last video, I promised we'd explore the fundamental shift happening in AI right now. We're going to establish the core distinction that will shape everything we build in this course, the difference between directed assistants and autonomous agents. Let's start with AI assistants. This is what's most familiar with us. These are directed systems that…
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Understanding AI agents vs. AI assistants4m 4s
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How agents work: Planning and tool calling6m 19s
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How agents work: Memory and RAG integration1m 54s
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Enterprise use case: B2B sales intelligence assistant6m 27s
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Enterprise use case: Customer service agent for insurance7m 42s
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Agent demonstration6m 23s
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Module 1: Summary and what's next2m 38s
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