9d • General discussion
🚀 Building a Customer 360 Multi-Agent Copilot with LangChain
Excited to join the upcoming AI Guild Workshop by Decoding Data Science
Organized by Mohammad Arshad, this session will provide a practical deep dive into how modern AI systems are built using:
✅ Multi-Agent Orchestration
✅ LangChain
✅ SQL Agents
✅ RAG (Retrieval-Augmented Generation)
✅ Customer Data Agents
✅ AI-Powered Customer Care Automation
💡 Why this session is valuable?
Today’s businesses generate massive amounts of customer data, but transforming that data into actionable insights is the real challenge. This workshop demonstrates how AI agents can collaborate together to create intelligent customer support and recommendation systems.
📊 Real-World Applications:
🔹 Customer 360 platforms
🔹 AI customer support systems
🔹 Recommendation engines
🔹 Business intelligence automation
🔹 Personalized customer experiences
🔹 AI copilots for enterprises
🤖 How it impacts AI & Data Analytics:
Combines structured SQL data with AI reasoning
Uses RAG pipelines to improve AI responses
Connects analytics, automation, and customer intelligence
Demonstrates the future of intelligent enterprise systems
This is an excellent opportunity for:
✔ AI Engineers
✔ Data Analysts
✔ Data Scientists
✔ Software Developers
✔ ML Engineers
✔ Business Intelligence Professionals
Looking forward to learning from this technical deep dive for AI builders! 🔥
#AI #LangChain #DataScience #MachineLearning #ArtificialIntelligence #RAG #SQL #LLM #GenerativeAI #Customer360 #DataAnalytics #Automation #DDS #TechLearning
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🚀 Building a Customer 360 Multi-Agent Copilot with LangChain
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