The adoption of the agentic orchestration platform builds on Marsh's existing intelligent automation relationship with SS&C ...

New framework and platform enhancements provide organizations with greater visibility into manual workflows as AI ...

Aditya Mallikarjun Kumar Parakala is a Senior Lead in Robotic Process Automation (RPA) based in Phoenix, Arizona, ...

Around a decade ago, as AI gained renewed attention, one of the first areas to receive overinflated focus were business process automation and desktop automation tools that aimed to automate ...

The financial services industry has always been fueled by data, but in an era of economic uncertainty, the pressing question is whether firms are using that data to its fullest potential to drive ...

AI thrives on data but feeding it the right data is harder than it seems. As enterprises scale their AI initiatives, they face the challenge of managing diverse data pipelines, ensuring proximity to ...

Intelligent automation is more than just a buzzword. It represents the fusion of AI and automation and emphasizes the importance of thoughtfully orchestrating every process from start to finish. While ...

Arria NLG Limited, the pioneer of deterministic language generation technologies, today announced the planned release of Arria Intelligence, a breakthrough governed agentic AI platform introducing a ...

Intelligent automation improves cable testing by increasing throughput, reducing manual validation, and strengthening ...

Adam Stone writes on technology trends from Annapolis, Md., with a focus on government IT, military and first-responder technologies. Some state and local agencies are seeking to automate their data ...

Bank and credit union leaders are eyeing intelligent automation as a path for growth and improvements in fraud detection, customer service and other areas, according to new research from American ...

Accounting and finance functions used to be more siloed, but now they are called on to leverage their expertise across every area of business, from identifying operational inefficiencies, to ...