Augury的技术栈描绘了Augury在分析与建模, 和 传感器等物联网技术方面的实践。
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Mueller moves from preventive to predictive maintenance
Recognizing the recent advances in and affordability of predictive maintenance (PdM), the company decided to implement a PdM program in one of its facilities on a trial basis. Anticipating positive results, we hope to gradually pursue wider implementation.
AI-driven Machine Health Drives Actionable Insights at CPG's North American HQ
Sodexo, the leader in facilities management, is helping manage the operations of the North American headquarters of one of the world’s largest CPG companies. Both the client and Sodexo were looking to transform their respective workplace and modernize workflows. Sodexo was accustomed to practicing route-based maintenance but the lack of insights in the machines they managed hindered them from better understanding the true health of those machines. It wasn’t just about cost saving, it was about leveraging technology to transform how they worked. Sodexo needed a partner that could digitally transform their program, provide continuous insights into the health of their machines, all while bringing them into the new world of Industrial IoT. How could the team optimize asset performance? How could they increase productivity while extending the life of equipment? How could they leverage decades of hands-on experience with technology to accomplish more?
C3 IoT provides a full-stack IoT development platform (PaaS) that enables the rapid design, development, and deployment of even the largest-scale big data / IoT applications that leverage telemetry, elastic Cloud Computing, analytics, and Machine Learning to apply the power of predictive analytics to any business value chain. C3 IoT also provides a family of turn-key SaaS IoT applications including Predictive Maintenance, fraud detection, sensor network health, supply chain optimization, investment planning, and customer engagement. Customers can use pre-built C3 IoT applications, adapt those applications using the platform’s toolset, or build custom applications using C3 IoT’s Platform as a Service.Year founded: 2009
Altizon empowers Industrial Digital Revolutions globally by helping enterprises use Machine Data to drive business decisions. With a global footprint of over 100 enterprise users, Altizon is a leading Industrial IoT platform provider as recognized by Gartner, Forrester, BCG, Frost & Sullivan, and others.
Litmus transforms the way companies enable Industrial IoT, Industry 4.0 and Digital Transformation with one goal in mind - unmatched time-to-value. Our modern edge platform for industry provides instant data connectivity, ready-to-use analytics, and the ability to orchestrate applications at scale. Litmus liberates the data locked in any industrial system to transform critical edge data into actionable intelligence that can power Predictive Maintenance, Machine Learning, and AI. Customers include 10+ Fortune 500 manufacturing companies, while partners like Siemens, HPE, Intel and SNC Lavalin expand the Company’s path to market. For more information visit www.litmus.io.
FogHorn is a leading developer of “edge intelligence” software for industrial and commercial IoT applications. FogHorn’s software platform brings the power of Machine Learning and advanced analytics to the On-Premise edge environment enabling a new class of applications for advanced monitoring and diagnostics, asset performance optimization, operational intelligence and Predictive Maintenance use cases.
Falkonry is the leading provider of predictive operations technology for companies looking to achieve significant improvements in the uptime, performance, quality and safety of their operations. Falkonry's "pre-packaged" Machine Learning system, Falkonry LRS, enables operations teams to discover, explain and predict behaviors that matter, without requiring data scientists. Falkonry LRS complements a users domain expertise with predictive analytics to more deeply understand their operations, and can scale across assets, processes and operations. Our ready-to-use Machine Learning system, called Falkonry LRS, can be deployed and used directly by practitioners such as manufacturing engineers or process engineers, and does not require data scientists. In fact it is like a "data scientist-in-a-box" and can be deployed both On-Premises or in the cloud.