In this clip, John Bourous, Senior Manager, Product Marketing, reveals how to eliminate data duplication and vendor lock-in with a single high-fidelity behavioral data stream.
💡 The Vision: One Data Stream, Multiple Superpowers
Instead of stitching together tables and managing multiple vendors, imagine one validated, enriched behavioral data foundation that simultaneously powers:
📊 Analytics & BI:
Traditional dashboards and reporting
Journey analysis and attribution
Business intelligence workflows
⚡ Operational Systems:
Real-time personalization engines
A/B testing and experimentation frameworks
Feature flags and dynamic configurations
🤖 AI & Machine Learning:
LLM training and fine-tuning
AI agents embedded in products
Advanced ML workloads and models
🏗️ Technical Benefits:
✅ No data duplication or pipeline redundancy
✅ Eliminate vendor lock-in across multiple tools
✅ Native integration with AWS services (Kinesis, S3, SageMaker)
✅ Lakehouse-native architecture for scalability
✅ High-fidelity, validated, and enriched data streams
🎯 Perfect for:
- Data architects designing scalable systems
- Engineering teams tired of maintaining multiple pipelines
- Product teams wanting faster iteration cycles
- AI/ML teams needing quality behavioral data
- Organizations looking to consolidate their data stack
💪 Why This Matters:
Build faster, adapt quicker, and differentiate with your own data instead of relying on someone else's. This is the future of data architecture for AI-powered products.
🔗 Watch the full session: https://snowplow.io/events/ai-ready-behavioral-data-powering-real-time-product-experiences-analytics