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No-code / Low-code environment and out-of-the-box apps speed manufacturing operations intelligence dashboard creation Mobility and modern UI improve decision making and operator performance Innovative discrete manufacturing features continue to expand core capabilities across diverse production environments to support one MES for reduced costs and enterprise optimization Zero-downtime web client updates increase uptime and reduce system maintenance

SAN RAMON, Calif.

Modern, web-based UI improves transparency, decision making and efficiency by extending HMI to consume analytics and business application data, unifying OT/IT visualization No-code / Low-code environment and flexible centralized deployment speed time to value New MQTT bridge simplifies connectivity and communication with smart IoT sensors and devices to support data collection and operations optimization

SAN RAMON, Calif.

Designation recognizes GE Digital’s expertise in innovating and empowering industrial organizations with software that can transform their operations Industry-leading Proficy Historian for Cloud now available in AWS Marketplace; Proficy Smart Factory Cloud MES and Proficy Operations Hub coming soon

SAN RAMON, Calif.

Helps to improve quality of services while providing on-time resultsReduces operating and maintenance costsIncludes experienced technology implementation support

GE Digital scored among the top two vendors out of 19 recognized in the Gartner Critical Capabilities for Manufacturing Execution Systems report across four Use Cases: Continuous Process Manufacturing, Complex Discrete Manufacturing, Batch/Repetitive Flow Manufacturing, and Highly Regulated IndustriesGE Digital’s Smart MES product portfolio includes new microservices technologies to meld MES and IIoT capabilities and a low-code / no-code development environment

New state-of-the-art Artificial Intelligence (AI)/Machine Learning (ML) technology developed by GE scientists recognized with a prestigious Manufacturing Leadership Award (MLA) by the National Association of ManufacturersGE’s AI/ML tool uses a digital twin of the wind turbine logistics process to accurately predict and streamline logistics costsApplication of AI/ML could enable a 10% reduction in logistics costs, which would represent a global cost savings to the wind industry of up to $2.6 billion annually by 2030 based on current industry growth projections

Digitized solution increases manufacturing throughput by overcoming variations due to supply chain constraints and changing consumer demands Allows companies to unify, transform, orchestrate, and manage variances in manufacturing product data across different assets, systems, processes, and plantsEasily connects disparate manufacturing product data from various sources and transforms it into factory floor friendly informationProvides audit trail of variances and updates to manufacturing product data for visibility and compl