Google Cloud recently shared 601 real-world generative AI use cases from leading companies across 11 industries — showing how AI is already solving real problems at scale. Key Takeaways - The use cases are grouped into six types of “AI agents”:Customer, Employee, Creative, Code, Data, and Security agents. - These agents show how AI is moving beyond experiments into everyday business processes. - Companies across automotive, healthcare, finance, retail, media, manufacturing, and energy are using AI to improve speed, accuracy, and customer experience. Highlights - Customer agents: Car brands use conversational assistants for in-car search and support; food chains predict orders and personalize promos. - Employee agents: AI helps support teams summarize conversations and assists factory staff with quick-build ML tools. - Creative agents: Brands cut campaign production from weeks to hours and use AI-generated visuals for marketing. - Code agents: Enterprises use AI to generate, debug, and understand legacy codebases. - Data agents: Banks accelerate credit approvals by up to 90 %, manufacturers optimize supply chains with AI-driven simulations. - Security agents: Financial institutions detect fraud and respond to threats much faster. Why It Matters These examples prove that generative AI is already transforming industries. The shift is from “What could AI do?” to “Here’s what it’s doing today.” Use this list for: - Inspiration for your next AI-powered project - Understanding trends shaping your industry - Learning patterns that can transfer across sectors, from chatbots to document automation You can explore the full list on Google Cloud: cloud.google.com/transform/101-real-world-generative-ai-use-cases-from-industry-leaders

N8N has just introduced Native Data Tables a feature that lets you store and manage data directly inside your n8n environment. No more relying on external databases or endless API calls. With this update, you can easily connect data tables to your workflows or AI agents in just a few steps. It’s perfect for quick prototypes, demos, or when you need a simple way to manage data without dealing with latency or rate limit issues. For many use cases, this feature is a complete game-changer!!!

How it Works This template launches your very first AI Agent —an AI-powered chatbot that doesn’t just chat, but can also take action using tools. Think of an AI Agent as your smart assistant, and the tools are like apps on its phone. By connecting it to other nodes, your agent can interact with real-world data and services—such as checking the weather, fetching the news, or even sending emails for you. This workflow is built to be your ideal starting point: - The Chat Interface: A Chat Trigger node gives you a simple interface to talk to your agent. - The Brains: The AI Agent node receives your messages, decides which tool to use (if any), and crafts a helpful response. You can fully customize its personality and instructions through the “System Message.” - The Language Model: Powered by OpenAI, giving your agent reasoning and conversational abilities. - The Tools: Pre-equipped with two demo tools to show what’s possible: - Get Weather: Pulls live weather updates. - Get News: Reads any RSS feed to deliver the latest headlines. - The Memory: A Conversation Memory node lets the agent recall recent exchanges, so it can handle natural follow-ups. Setup Steps Setup time: ~2 minutes You’ll only need one thing to begin: your OpenAI API key. Get Your OpenAI API Key 1. Go to openai.com 2. Click Create new secret key and copy it. Add Your Credential in n8n 1. On the workflow canvas, open the Connect your model (OpenAI) node. 2. In the Credential dropdown, select + Create New Credential. 3. Paste your API key into the API Key field and click Save. Start Chatting! 1. Open the Example Chat node. 2. Click the Open Chat button in its parameter panel. 3. Try sample questions like: 4. “What’s the weather in Paris?” 5. “Get me the latest tech news.”

Goodevening! Any updates for Workshop 103? Thank you!

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