Interfacing Enterprise Process Center (EPC)
Interfacing's Digital Twin Organization software offers transparency and governance to improve quality, efficiency, and ensure regulatory compliance.
A single platform allows you to map, analyze, and automate your processes, manage regulatory compliance, and assess risks. Interfacing's digital twin solution (Enterprise Process Center-EPC) is an enterprise management platform that allows companies to digitally transform their processes. It helps them streamline operations, improve productivity, and make things more efficient.
Interfacing's digital platform - Rapid Application Development Tools (RAD) Tools, with its Low Code Development methodology, will optimize your technical resources and maximize transparency to allow for continuous improvement.
Discover how our Low-Code Rapid Application Development module gives you all the tools needed to create and deploy custom, scalable, secure, mobile-ready applications in days vs. months!
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PTC Windchill
PTC Windchill is an advanced PLM software solution tailored for manufacturers seeking to unify their product development lifecycle with real-time data sharing and secure collaboration. By centralizing product data and providing role-based access, Windchill enables multidisciplinary and distributed teams to work more efficiently, reducing errors and improving product quality. Its open architecture supports easy integration with major enterprise applications like SAP ERP, creating a seamless digital thread from design to production. Key capabilities include detailed BOM management, engineering change workflows, manufacturing process alignment, and supplier collaboration. Windchill also incorporates AI-powered analytics to automate routine tasks, optimize resource allocation, and drive product innovation. Users benefit from streamlined software upgrades, cloud or on-premises deployment flexibility, and IoT-based system monitoring. The platform’s 3D visualization tools support complex model review and collaboration, enhancing design accuracy and communication. Leading manufacturers rely on Windchill to accelerate time-to-market, improve R&D efficiency, and lower non-quality costs.
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Apollo Autonomous Vehicle Platform
A combination of sensors, including LiDAR, cameras, and radar, gather data from the vehicle's surroundings. By employing sensor fusion technology, perception algorithms are capable of identifying, locating, measuring the speed, and determining the orientation of various objects on the road in real time. This advanced autonomous perception system is supported by Baidu's extensive big data infrastructure and deep learning capabilities, along with a rich repository of labeled real-world driving data. The robust deep-learning platform, complemented by GPU clusters, enhances processing power. Additionally, the simulation environment enables virtual driving across millions of kilometers each day, leveraging diverse real-world traffic and autonomous driving data. Through this simulation service, partners can access an extensive array of autonomous driving scenarios, allowing for rapid testing, validation, and optimization of models in a manner that prioritizes both safety and efficiency, ultimately fostering advancements in autonomous vehicle technology.
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AWS IoT
There are countless devices operating in various environments such as residences, industrial sites, oil extraction facilities, medical centers, vehicles, and numerous other locations. As the number of these devices continues to rise, there is a growing demand for effective solutions that can connect them, as well as gather, store, and analyze the data they generate. AWS provides a comprehensive suite of IoT services that span from edge computing to cloud-based solutions. Unique among cloud providers, AWS IoT integrates data management with advanced analytics capabilities tailored to handle the complexities of IoT data seamlessly. The platform includes robust security features at every level, offering preventive measures like encryption and access control to safeguard device data, along with ongoing monitoring and auditing of configurations. By merging AI with IoT, AWS enhances the intelligence of devices, allowing users to build models in the cloud and deploy them to devices where they operate twice as efficiently as comparable solutions. Additionally, you can streamline operations by easily creating digital twins that mirror real-world systems and conduct analytics on large volumes of IoT data without the need to construct a dedicated analytics infrastructure. This means businesses can focus more on leveraging insights rather than getting bogged down in technical complexities.
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