Build Enterprise AI Apps with Natural Language | C3 Code

Описание: See how to build Enterprise AI apps with natural language, compressing development cycles from months down to hours.

In this demo, we introduce C3 Code, a generational leap in how Enterprise AI applications are designed, built, and deployed. Using natural language prompts, autonomous AI agents on the C3 Agentic AI Platform generate full-stack applications — from data integration and ontology modeling to dashboards, analytics, and deployment.

Watch as we build a supply network risk application step-by-step:

• Integrate real-world data from AWS S3
• Automatically generate data pipelines and transformations
• Enrich decision-making with external data (e.g., National Weather Service alerts)
• Create custom analytics dashboards (OTIF tracking)
• Deploy a generative AI assistant for real-time decision support
• Launch a production-ready application with one click

C3 Code combines 15+ years of Enterprise AI platform capabilities with autonomous agents to enable faster, scalable, production-grade application development, without traditional coding.

This is AI designing and building Enterprise AI.

Learn more:
👉 https://c3.ai/products/c3-agentic-ai-...
👉 https://c3.ai/c3-ai-announces-c3-code/

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00:00 Introduction to C3 Code
00:40 Creating a Supply Network Risk Application
01:15 Exploring the Supply Chain Ontology
01:50 Connecting AWS S3 Data Sources
02:30 AI-Generated Data Integration Pipelines
03:20 Loading and Inspecting Supply Chain Data
03:50 Integrating Weather Data (National Weather Service)
04:30 Visualizing Supply Chain Risk in 3D
05:00 Building an OTIF Analytics Dashboard
06:10 Creating a Generative AI Assistant
07:20 Deploying the Application to Production
08:00 Using the AI-Powered Supply Chain App
08:40 Identifying High-Risk Supply Routes
09:00 The Future of Enterprise AI with C3 Code