Over the past two decades, industrial enterprises have made massive investments in digital technologies — from ERP, MES, and EAM systems to advanced analytics platforms and IoT sensors. These tools have produced unprecedented volumes of data and insights. Yet despite this progress, most organizations continue to face a critical challenge: turning insight into execution.

Artificial Intelligence (AI) is rapidly changing the way industrial enterprises think about operations. From predictive maintenance to advanced quality analytics, AI promises to drive efficiency, reduce costs, and uncover opportunities for improvement.

Digital transformation is no longer a strategic option for industrial companies — it’s a business imperative. Yet many manufacturers still struggle to make transformation real on the plant floor. Why? Because traditional development models can’t move fast enough to meet the dynamic needs of operations.