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Modern Software Development For Today's Systems & Applications
AI Chat Agent | Devant by WSO2
It covers the full workflow, from ingesting documents into a vector database of your choice, to setting up and deploying the AI Agent, showcasing how you can configure data retrieval for precise and concise responses.. Learn more : wso2.com/devant.
How I Built an AI Agent to Automate Customer Support - No Complex Coding Required
What if you could build your own customer service agent that handles real-world support queries automatically, saving time for both customers and our team? Maryam Ahmad from our PRD team did just that using Astera’s low-code and drag-and-drop interface. With Astera AI Agent Builder, Maryam created an intelligent agent designed to handle key customer service tasks for an e-commerce platform: checking order status, cancelling orders, and providing information on refund and return policies, all through a seamless conversational interface.
How to Master AI/LLM Traffic Management with Intelligent Gateways
As businesses increasingly harness the power of artificial intelligence (AI) and large language models (LLMs), a new challenge emerges: managing the deluge of AI requests flooding systems. This exponential growth in AI traffic creates what could be considered a gratifying predicament—high demand for your AI services—but also introduces complex challenges that must be addressed for sustainable operations.
Is Your AI Ready for 2025? AI Automation Testing Strategies and Trends
Artificial Intelligence (AI) is revolutionizing industries worldwide, making it indispensable for modern businesses. However, this rapid growth brings a challenge—traditional testing methods are no longer sufficient to ensure the reliability and quality of complex, data-driven AI systems that are prone to bias. To succeed in 2025, organizations must adopt specialized AI automation testing strategies that validate performance and maintain consumer trust.
Building AI Agents: 6 Tips for Success
AI has evolved rapidly—from basic algorithms that suggested content to generative models that create it. Now, we're entering the AI agent era. AI agents refer to sophisticated AI systems that use reasoning and iterative problem solving to achieve specific goals. Instead of waiting for instructions, they adapt and take initiative. Agentic AI has transformative potential for enterprises.
Introducing AI.GENERATE_TABLE: creating structured data from gen AI models in BigQuery
AI.GENERATE_TABLE() in BigQuery lets you convert unstructured data into a structured table based on the provided prompt and table schema.
Train your own AI model: Know the Buts and Hows
Have you ever wondered how apps like Google Maps predict traffic, or how Netflix knows exactly what you want to watch next? Or better yet, how can chatbots (like ChatGPT!) carry on conversations almost like humans? The magic behind it all? AI models. But what exactly is an AI model? Is it some complex algorithm sitting in a dark server room somewhere? Or is it the new digital brain behind today’s smartest tools? In simple terms, AI models are like trained minds.
Agentic AI and the Future of Software Testing: A Q&A with Angie Jones
Explore how this emerging technology is changing and evolving the software development and testing fields.
Unlock AI: Faster Data Insights for All (No Code)
Steffen Hoellinger, CEO of Airy, details how they use AI and data streaming to increase developer productivity and enable a self-serve data experience for business users.