Trusted quality data is the backbone of agentic AI. Identifying high-impact workflows to assign to AI agents is key to scaling adoption. Scaling agentic AI starts with rethinking how work gets done.

May 2025 will go down in history as the month when agentic software development was truly unleashed upon the world. A significant step up from chat-based code assistants, agentic software tools have ...

The trademarked™ Pega Predictable AI architecture comes with a promise of being able to shift the heavy AI reasoning to agentic function design time. This way, runtime agents end up fast and cheaper ...

UiPath Inc. is putting meat on the bones of the plans it announced last October to enter the agentic artificial intelligence market with today’s rollout of what it calls a comprehensive platform for ...

Future ERP systems will likely undergo a significant transformation, from static and reactive to dynamic, event-driven platforms powered by agentic AI, enabling them to execute workflows and interact ...

Despite its relative novelty, major accounting firms have wasted no time in capitalizing on the rise of agentic AI, with technology leaders having already developed and deployed initial solutions for ...

As AI systems increasingly take part in writing and modifying production code, the software security landscape is shifting faster than most organizations can keep up. Recognizing that dynamic, at ...

Evaluate the effectiveness of Microsoft’s Python Risk Identification Toolkit (PyRIT) for agentic AI red teaming. Address evolving autonomous AI system threats.

The latest trends in software development from the Computer Weekly Application Developer Network. The trouble with agentic AI services is that they become popular. When an agentic (or indeed a ...