Systems | Development | Analytics | API | Testing

AI adoption is accelerating across small and medium-sized enterprises (SMEs), but many businesses lack the in-house expertise to build and manage AI infrastructure effectively. In this episode of The AI Forecast, Paul Muller speaks with Hyve’s Marketing and Operations Director, Charlotte Webb, about how managed service providers (MSPs) are reshaping AI adoption for SMEs. They explore the build vs. buy debate in AI solutions and why cloud computing alone doesn’t guarantee lower costs, better performance, or compliance.

Learn how to ensure consistent AI interactions and drastically reduce latency using the WSO2 AI Gateway. This step-by-step tutorial demonstrates how to standardize your LLM requests for quality and efficiency while cutting down on redundant API costs. We explore "Prompt Management" to enforce organizational guidelines using templates and decorators, and "Semantic Caching" to leverage vector embeddings—serving instant, cached responses for semantically similar queries to minimize expensive LLM calls.

The Tricentis Agentic Quality Engineering Platform, powered by the new Tricentis AI Workspace and team of AI agents, enables you to scale quality at the speed of AI with built-in governance & human oversight! This is a trusted, secure platform that is not a collection of disconnected tools, but a coordinated, intelligent system, designed to evolve as enterprises move toward fully autonomous. This platform is where you can build your agentic future!

How do you scale AI without losing control? Tricentis CEO, Kevin Thompson and VP of AI, David Colwell, discuss the strategic vision behind the industry’s first end-to-end enterprise agentic quality engineering platform. In this video, they address the core challenges facing today's CIOs: balancing the breakneck speed of AI development with the necessity of enterprise-grade governance.

Learn how to mitigate skyrocketing AI costs and prevent model outages using the WSO2 AI Gateway. This step-by-step tutorial shows you how to move beyond simple request limits and implement smart, token-based usage policies. We also demonstrate "Adaptive Model Routing" showing you how to automatically switch between models when rate limits are hit, and how to distribute traffic using weighted round-robin to optimize for cost and performance.