Abstract: Software testing automation is seeing fast evolution, propelled by innovative developments in artificial intelligence (AI), machine learning (ML), and cloud computing technologies. These ...

Abstract: Current software engineering focuses on achieving higher quality and speed in development and generating value for the business. This article proposes combining scenario thinking from ...

Agentic AI operates as an autonomous decision-making agent, sensing the environment and acting independently to optimize warehouse operations. It enhances traditional automation by dynamically ...

Manufacturers today need to ride waves of rapidly shifting tariffs, costs, customer demands and supply chain dynamics. We are nearly three months into 2026, and it’s become clear that market dynamics ...

InfoAgent is a production-ready Python AI agent for real-time weather and news. Built for resilience, it features structured logging, retry logic, and a modular design—essential for scalable, ...

Deploying a new machine learning model to production is one of the most critical stages of the ML lifecycle. Even if a model performs well on validation and test datasets, directly replacing the ...