Agentic AI refers to AI systems that not only analyze and recommend actions but autonomously execute decisions across supply chain systems—such as updating inventory status, re-tendering loads, ...

When Teonni Key went down with a dislocated right elbow against Missouri on Jan. 4, it was immediately clear that she would be out for multiple weeks at minimum, and it was also clear that Kentucky ...

"It feels like the system is coding with me." This was the comment one of my senior engineers made while we were shipping a critical module for one of our Fortune 500 clients. This comment, although ...

Abstract: The widespread adoption of Global Software Development (GSD) paradigm has completely changed the information technology industry. Offshore software maintenance has emerged as a prominent ...

Finastra, a global firm focused on financial services software, announced enhancements to its LaserPro document management solution, integrating with two different Uniform Commercial Code (UCC) filing ...

Pressure grows for software better aligned with business. Agile techniques have been stagnant for a decade. AI may speed up Agile team output. Agile has always had the best intentions: work side by ...

Our newly defined structured process can serve as a blueprint for similar efforts in other specialties. The here-developed computer-interpretable QIs are openly available for reuse and ongoing ...

After months of merchant frustration over securing the required API key for website-reported local inventory feeds via Google Tag Manager, Google has now confirmed a straightforward process: Why we ...

Vibe coding is the next evolutionary step in how generative AI is impacting coding and the software development lifecycle. Vibe coding, or AI-assisted development, lets a developer or less technical ...

Debojyoti ‘Debo’ Dutta admits that his deep domain experience means he is just “a little biased” when it comes to talking about the overwhelming theme of the day: the potential of artificial ...

Abstract: Extreme operating conditions in metal smelting often impair sensor performance, posing significant challenges to the accurate monitoring of key process indicators. To overcome these ...