Online
Modernizing Legacy: AI Integration Strategies
Otto Dobretsberger
Total rewrites are expensive and risky. This two-day course provides a pragmatic, surgical approach to injecting AI capabilities into established legacy applications. We focus on "The AI Wrapper" and "Sidecar" patterns, allowing you to add intelligent features—such as automated data extraction, natural language interfaces, and predictive maintenance—without compromising the stability of your core systems. Learn how to bridge the gap between monolithic architectures and modern AI microservices.
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AI Modernization Workshop
Session Agenda:
| Thursday, July 16, 2026 | |
| 9:00AM to 4:00PM | Day 1: The Integration Layer |
| Friday, July 17, 2026 | |
| 9:00AM to 4:00PM | Day 2: Intelligent Features & Deployment |
| Thursday, July 16, 2026 |
| 9:00AM to 4:00PM Day 1: The Integration Layer |
| Friday, July 17, 2026 |
| 9:00AM to 4:00PM Day 2: Intelligent Features & Deployment |
Agenda:
Day 1: The Integration Layer
- Assessment: Identifying "low-hanging fruit" in legacy code for AI enhancement.
- The proxy pattern: Using middleware to intercept legacy data for AI processing.
- Vectorizing relational data: Techniques for bringing SQL/NoSQL data into RAG (Retrieval-Augmented Generation) pipelines.
Day 2: Intelligent Features & Deployment
- Semantic search for old docs: Adding modern search capabilities to legacy file stores.
- Automated refactoring assistance: Using AI to document and modularize "spaghetti code" safely.
- Security & data privacy: Ensuring AI integrations comply with existing enterprise security protocols.
- Case study: Retrofitting a 10-year-old CRM with a natural language query interface.