Amir Berman says contractors can embrace their data-centric future and standardize project metrics to fully take advantage of artificial intelligence-based workflows.

Successful adoption can typically follow in three stages: assess and plan, pilot and migrate, then operationalize and scale.

Deploy sliding time windows that continuously analyze supply chain and operations data streams. A 30-minute window can ...

BMW leverages AI and process intelligence across its data platforms to optimize production, logistics and customer experience ...

As multinationals embed tax technology into their TP functions, a new breed of systems – built on multi model databases – is ...

Product managers are almost always builders, people who want to understand how systems operate, who optimize workflows, who ...

Douthat: It’s worth noting that your company is named for seeing stones used to view things at a very long distance in J.R.R.

THE ARTICLES ON THESE PAGES ARE PRODUCED BY BUSINESS REPORTER, WHICH TAKES SOLE RESPONSIBILITY FOR THE CONTENTS ...

The discrete manufacturing sector stands at a crossroads, grappling with increasing competition, shrinking product lifecycles, and heightened customer demands. In such a dynamic environment, ...

Majesco, the insurance industry’s foremost innovator in cloud-native, AI-driven software, announced today that Pennsylvania ...

A new era of autonomous data management has begun with the emergence of Agentic AI, the systems that can observe, learn and ...

Delivering consistent value to customers requires more than operational efficiency. It demands a comprehensive understanding of how products create value across their entire lifecycle. Companies are ...