Learn how enterprises evaluate open versus closed AI models to optimize costs, security, and performance across different business use cases.

Software engineering has traditionally been about complex code and long development cycles. But things are changing now.

In a Q&A, Gabe Gomes discusses the potential to combine human creativity with machine capability, transforming chemical ...

Model-Driven Software Engineering By elevating the level of abstraction, MDSE enables developers to design, analyse, verify, and transform systems with greater rigour and clarity.

Phishing campaigns use PDF attachments and callback phishing to exploit brands like Microsoft and DocuSign, affecting ...

The shift toward SDVs is leading to cloud-based workflows, virtual testing, and continuous integration pipelines.

Time efficiency of analysis is especially critical when investigating quality excursions. During this time, the line may be ...

Tricentis is the first major quality engineering platform to deliver secure remote MCP servers - the "UI for AI" infrastructure that allows AI agents to interact directly with enterprise-grade testing ...

Simulation, AI, and digital twins are driving scalable engineering solutions in the 5th-generation industrial tech era.

LLMs changed how enterprises build applications, but smaller AI models provide power and reduces total cost of ownership.