Augmenting Legacy and Modern Platforms with AI: A Practical Integration Roadmap
If you're tired of AI hype and looking for a technical deep dive, this session is for you.
Led by a seasoned CTO, this no-fluff session breaks down what it really takes to bring AI into both legacy and modern software platforms. Whether you're exploring AI-as-a-Service or planning to build your own ML pipelines, you'll get practical insights from real-world integration projects.
What You’ll Learn:
- How to assess your platform’s architecture and data readiness for AI
- Pros and cons of different integration models: from plug-and-play APIs to custom ML pipelines
- The critical path from feasibility to production: Discovery → PoC → Pilot → Full Rollout
- Common integration challenges around data quality, infrastructure, security, and trust
- How to leverage modern AI tools across ML Ops, analytics, and LLM APIs
Ideal for:
CTOs, Tech Leads, Software Architects, ML Engineers, and engineering teams building AI-powered products – not just planning them.
Bonus:
All attendees receive a downloadable AI Readiness Checklist
