Appian Composer
Learn about Appian Composer, an AI-augmented development tool that accelerates application modernization. It provides a guided experience that takes business and IT from idea to application seamlessly using generative AI.
Systems | Development | Analytics | API | Testing
Modern Software Development For Today's Systems & Applications
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.
Cloudera Private AI: Bring AI to Your Data Anywhere
Cloudera AI changes the game. Cloudera is the only data and AI platform that delivers the secure cloud experience anywhere—public clouds, data centers, and the edge. We provide the foundation you need for real AI, real scale, and real business impact—without ever giving up control.
Evolve25: Customer Fireside Chat with Banco do Brasil
Learn how the oldest bank in Brazil manages over 800 AI solutions and 5,500 GenAI use cases while maintaining a "Responsible AI" framework. Discover the bank's three-block ROI strategy focusing on operational efficiency, customer satisfaction, and new business models. This session is a must-watch for enterprise leaders navigating the intersection of legacy infrastructure, culture shifts, and Agentic AI.
How to Implement Your First ML Function in Streaming
The most effective way to adopt streaming machine learning (ML) is not by rebuilding your entire platform but by adding a single, high-value inference step to your existing data flow. This incremental approach allows you to transition from batch-based processing to real-time decision-making without the risk of a "big bang" migration, ensuring that your microservices architecture remains agile and responsive. What Is Streaming ML? ML in streaming is the practice of.
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.