On the front lines of the cloud’s maintenance disruption.
Companies looking to select an enterprise asset management (EAM) solution should be sure it can track all assets through the lifecycle and that it can integrate with an enterprise resource planning (ERP) system.
Warehousing and logistics is evolving from being a static component in the supply chain to an area ripe for smart transformation. Five predictions including robotics and predictive maintenance are highlighted.
Modern businesses can take command of the quantity and quality of information rather than process it robotically from databases with digitization and harness the data into useful streams of information to improve operations and efficiency.
Digitization's proliferation is not just a result of the impact it has created across industries and its impact on core engineering operations of manufacturers who depend on physical supply chains and asset-driven production models.
Implementing condition-based maintenance (CBM) can help reduce equipment downtime, improve data collection, and improve overall equipment effectiveness (OEE).
Most industrial control system (ICS) networks were designed and implemented before the advent of cyber crime, and the availability of automated asset management capabilities, which makes it difficult to assess risk and apply effective defenses. Three major pain points for users are highlighted.
L&T Technology Services' Aikno is a cognitive intelligence framework AiKno uses technologies such as advanced image processing, optical character recognition (OCR), natural language processing (NLP), and self-learning AI algorithms.
Emerson and AspenTech have agreed to a digital technology alliance to help customers tackle complex problems and optimize operations, which will focus on engineering software, manufacturing and supply chain software, and asset performance management.
Commentary: GE Predix business focus changes to meet market strength as other cloud-based industrial platforms gain footing.