From Models to Money: The Real Journey of AI in Banking.
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About this event
💰 From Models to Money: How AI Is Transforming Modern Banking
Beyond Accuracy. Beyond Models. Toward Real Business Value.
📅 Tuesday, July 7
🕖 7:00 PM GST
Register here: https://nas.com/artificialintelligence/events/from-models-to-money-the-real-journey-of-ai-in-banking
Banks don't invest in AI because a model achieves 98% accuracy.
They invest because AI can reduce fraud, increase revenue, personalize customer experiences, automate operations, and create measurable business outcomes.
In this session, we'll explore what it actually takes to move from building machine learning models to deploying AI systems that generate value inside financial institutions. We'll also examine how Generative AI and Agentic AI are reshaping the future of banking.
🚀 What You'll Learn
💳 Banking AI vs. Classroom Data Science
- Why real-world banking AI looks very different from academic projects
- The skills companies actually expect
⚙️ From Notebook to Production
- How AI models become production systems
- Deployment, monitoring, governance, and continuous improvement
📈 Where AI Creates Money in Banking
- Fraud detection
- Credit risk intelligence
- Customer lifetime value
- Personalization
- Process automation
- Revenue optimization
🔍 The Hidden Work Behind Successful AI
- Data quality
- Feature engineering
- MLOps
- Compliance
- Explainability
- Model monitoring
🤖 Generative AI in Banking
- Intelligent assistants
- Financial document analysis
- Customer service automation
- Internal productivity
- Risk and compliance support
🧠 Agentic AI: The Next Evolution
- AI agents that can reason, plan, and execute workflows
- The future of banking operations
- Opportunities and challenges
🎯 Lessons from the Field
- Practical insights from real AI initiatives
- Common mistakes teams make
- What separates successful AI projects from failed ones
🎯 Whether you're building AI, working in finance, or preparing for an AI career, this session will help you understand what it takes to turn models into measurable business impact.
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