Problem 27: Can AI Do the Work end-to-end ?

Rise of AI Agents

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Foundation Models changed how computers understand

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Rise of AI Agents

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Rise of AI Agents

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Problem 27: Can AI Do the Work end-to-end ? — full transcript

Rise of AI Agents

Rise of AI Agents

Foundation Models changed how computers understand language. They can answer questions. Write code. Summarize documents. Generate reports. But after giving an answer... They stop. The human still has to take action. Copy the response. Open another application. Click buttons. Fill forms. Repeat the process. The engineering problem became clear. How do we build AI that doesn't just respond, but actually completes a task? The engineering concept that solved this problem is the AI Agent. An AI Agent doesn't simply generate text. It can reason about a goal, break it into smaller steps, use external tools, retrieve information, call APIs and decide what to do next until the task is complete. Instead of answering, "Here's how to book a flight. " it can actually search flights, compare options, ask for confirmation and complete the booking. The model becomes part of a larger decision-making system. Amazon Web Services provides this through Amazon Bedrock Agents. Microsoft Azure provides Azure AI Agent Service. Google Cloud provides Vertex AI Agent Builder. Different names. One engineering concept. Applications evolved from AI assistants to AI workers capable of executing multi-step tasks. But one final challenge remains. How do we connect all these cloud services into one intelligent, secure and scalable architecture?