Systems | Development | Analytics | API | Testing

How AI Is Redefining Route Optimization to Enable Faster Deliveries?

When executives talk about improving logistics performance, the conversation often circles around the same three goals: speed, cost efficiency, and reliability. Yet the reality on the ground tells a different story. Traffic congestion, rising fuel costs, driver shortages, changing customer expectations, and unpredictable disruptions continue to make route planning one of the most complex operational challenges in logistics. Now add one more pressure point: customer expectations have fundamentally changed.

WSO2 AI Gateway: Prompt Management & Semantic Caching

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.

Ep 64 | AI Managed Services: A Smarter Path for SMEs

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.

Why Your AI Pilot Won't Make It to Production (And What to Do About It)

Most AI pilots fail to reach production not because the models don’t work, but because enterprises struggle with data governance. While pilot-phase AI projects demonstrate impressive results in controlled environments, they hit governance walls when moving to enterprise-scale deployments. This post examines why AI initiatives stall before production and provides a governance-focused approach for breaking the cycle.

The top 11 AI-assisted automated testing tools for QA in 2026

When it comes to QA, AI-powered automated testing tools promise more speed, better coverage, and lower maintenance. But they don’t all solve the same problems, and their approach to solving problems can be fundamentally different. Some platforms lean heavily into autonomy. Others focus primarily on speed or aggressive self-healing. A smaller group applies AI in specific parts of the workflow while preserving test execution reliability and human control.

Stop GenAI Rate Limits: Model Routing & Token Throttling with WSO2 AI Gateway

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.

AI Input vs. Output: Why Token Direction Matters for AI Cost Management

In the burgeoning intelligence economy, AI tokens are a metered utility, but enterprise profitability now hinges on a critical distinction: output tokens can cost up to 10x more than inputs, creating a new, invisible risk for cost overruns, particularly with Agentic AI. Learn how Kong AI Gateway and Konnect Metering & Billing provide the essential financial control plane to enforce directional guardrails, protect margins, and turn token consumption into realized revenue.

The CIO's guide to agentic AI: A message from Kevin Thompson & David Colwell

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.

Introducing the Tricentis Agentic Quality Engineering Platform

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!