Connecting AI
MCP, Integration & Intelligent Infrastructure
This track focuses on how AI agents and LLM-driven systems connect securely to enterprise stacks, pipelines, and APIs. The Model Context Protocol (MCP) serves as the backbone for interoperable and context-aware AI ecosystems.
Connecting AI: MCP, CI/CD, APIs & Security
Learn from Industry Leaders about:
- MCP fundamentals and custom implementations in enterprise systems
- Secure tool-calling and context exchange between agents and services
- CI/CD for AI-generated applications and agentic workflows
- System and network telemetry and infrastructure observability
- Quality feedback loops and continuous evaluation for AI systems
- Policy, access control, and compliance (EU AI Act, ISO, SOC 2)
- Ethical AI tooling bridge – bias detection, traceability, and audit interfaces between agents and humans
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