From the course: Building AI Agents with Snowflake
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Agent demonstration - Snowflake Tutorial
From the course: Building AI Agents with Snowflake
Agent demonstration
Up until now, we've talked about concepts and use cases, but there's nothing quite like watching an autonomous agent work in real-time. You'll see its plan, its approach, execute across multiple data sources, synthesize insights that would take a human analyst hours to compile. In the next few minutes, you're going to witness exactly what autonomous intelligence looks like in action. We explore the concepts behind agents and seeing how they transform sales and customer service. This time to see Autonomous Intelligence in action. We're going to revisit the Sales Intelligence agent that has access to the same type of data you'll be using with this course. For this demonstration, we have an agent with access to structured data, sales metrics, deal values, close dates, win and loss status, and unstructured data, sales conversation transcripts, customer meeting notes, and discovery call details. First, let me show you the difference between directed and autonomous approaches with the same…
Contents
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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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