C3 IoT 提供全栈 IoT 开发平台 (PaaS)，即使是最大规模的大数据/IoT 应用程序也能够快速设计、开发和部署，这些应用程序利用遥测、弹性云计算、分析和机器学习来应用预测分析对任何业务价值链的影响。 C3 IoT 还提供一系列交钥匙 SaaS IoT 应用程序，包括预测性维护、欺诈检测、传感器网络健康、供应链优化、投资规划和客户参与。客户可以使用预先构建的 C3 IoT 应用程序，使用平台的工具集调整这些应用程序，或使用 C3 IoT 的平台即服务构建自定义应用程序。成立年份：2009
物联网(IoT) 和先进的数据科学正在改写竞争规则。优势在于可以将 PB 级新到数据和历史数据转换为预测的组织——比竞争对手更快、更准确。回报包括更好的产品和服务设计、促销和定价；优化供应链，避免延误并增加产量；减少客户流失；每个客户的平均收入更高；预测性维护可避免车队和制造系统停机，同时降低服务成本。为了实时理解前所未有的数据量、速度和种类并采取行动，公司正在应用大数据、高级分析、机器学习和云计算等科学。产品本身正在重新设计以适应连接性和低成本传感器，为自适应系统、新一代智能应用程序和业务流程再造的复兴创造了市场机会。新的 IT 范式将通过改变产品设计、营销、制造和售后服务来重塑价值链。 C3 IoT 提供新一代智能、实时应用程序，克服阻碍公司实现物联网潜力的发展挑战。 C3 IoT 平台已在 20 多个企业级生产环境中得到验证，是用于下一代 IoT 应用程序和业务流程的设计、开发、部署和运营的 PaaS。
C3 IoT 是基础设施即服务 (iaas), 平台即服务 (paas), 应用基础设施与中间件, 分析与建模, 功能应用, 和 传感器等工业物联网科技方面的供应商。同时致力于航天, 电网, 设备与机械, 金融与保险, 医疗保健和医院, 石油和天然气, 零售, 电信, 运输, 和 公用事业等行业。
C3 IoT的技术栈描绘了C3 IoT在基础设施即服务 (iaas), 平台即服务 (paas), 应用基础设施与中间件, 分析与建模, 功能应用, 和 传感器等物联网技术方面的实践。
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Vehicle Fleet Analytics
Organizations frequently implement a maintenance strategy for their fleets of vehicles using a combination of time and usage based maintenance schedules. While effective as a whole, time and usage based schedules do not take into account driving patterns, environmental factors, and sensors currently deployed within the vehicle measuring crank voltage, ignition voltage, and acceleration, all of which have a significant influence on the overall health of the vehicle.In a typical fleet, a large percentage of road calls are related to electrical failure, with battery failure being a common cause. Battery failures result in unmet service agreement levels and costly re-adjustment of scheduled to provide replacement vehicles. To reduce the impact of unplanned maintenance, the transportation logistics company was interested in a trial of C3 Vehicle Fleet Analytics.
Large Oil Producer Leverages Advanced Analytics Platform
Approximately 17,000 wells in the customer's portfolio have beam pump artificial lift technology. While beam pump technology is relatively inexpensive compared to other artificial lift technology, beam pumps fail frequently, at rates ranging from 66% to 95% per year. Unexpected failures result in weeks of lost production, emergency maintenance expenses, and costly equipment replacements.
Driving Network Efficiency and Fraud Detection Efforts
Baltimore Gas and Electric Company (BGE) wanted to optimize the deployment and ongoing health of its advanced metering infrastructure (AMI) network and identify and reduce unbilled energy usage. BGE wanted a solution to deliver an annual economic benefit of $20 million.
Predictive Maintenance for Building Equipment
Unexpected failures of building equipment can result in significant problems for facility operators. For example, refrigeration system downtimes result in expensive loss of perishables for retailers, or drugs for pharmacies. HVAC system downtimes drive need for emergency maintenance activities, and result in reduced customer satisfaction.
Reducing Energy Costs Across Pella’s Manufacturing Plants
Pella’s commitment to continually improve its processes for its team members and the environment has led the company to seek innovative technologies that advance overall productivity and the quality of its manufacturing operations.
Predicting, Diagnosing and Reducing Equipment Failures
One of Europe’s largest integrated electric power companies was looking for analytics solutions to reliably forecast equipment failure and improve condition-based maintenance for its coal-fired power plant. With a diverse array of coal, oil, and gas/CCGT power plants, the utility’s more than 50GW worldwide generating portfolio has been under pressure to streamline global operations and reduce generating costs (both CapEx and operations /maintenance O&M expenses) by 7-10%.
Worldwide IT Leader Manages Enterprise Energy and Sustainability
To understand their complex global energy consumption and emissions footprint, Cisco needed a software solution to help them manage disparate energy- and emissions-related data inputs across their enterprise, integrate and analyze their sustainability and energy metrics, embark upon energy and emissions mitigation projects, and report results publicly. Cisco also needed to perform detailed interval analysis of their high energy-usage facilities.
Enabling Enterprise-Wide Digital Transformation
Global energy leader ENGIE is implementing an ambitious digital transformation strategy that is vital to the Fortune Global 500 company’s plan to confront the major challenges posed by climate change and promote people’s access to reliable, innovative, socially responsible, low carbon, and decentralized energy. To do this, ENGIE plans to invest €1.5 billion in new businesses and digital over the next three years.
Largest Production Deployment of AI and IoT Applications
To increase efficiency, develop new services, and spread a digital culture across the organization, Enel is executing an enterprise-wide digitalization strategy. Central to achieving the Fortune 100 company’s goals is the large-scale deployment of the C3 AI Suite and applications. Enel operates the world’s largest enterprise IoT system with 20 million smart meters across Italy and Spain.
Enterprise Data Analytics Platform and AMI Operations
In tandem with its 6 year-long smart meter rollout plan, Con Edison sought to implement Advanced Metering Infrastructure (AMI) operations on top of a comprehensive enterprise data analytics platform for improved operational insight and customer service for its base of more than four million customers. In order to improve customer service and operations across its region, one of the largest integrated utilities in the United States has rolled out the C3 AI Suite and C3 AMI Operations application on AWS. Con Edison’s project objectives were to deliver on the utility’s commitments for presenting customer data, establish AMI operations across 5 million smart meters to ensure operational health, and build a federated data image platform for analytic capabilities. The utility’s smart meter deployment will generate between 100 terabytes and 1 petabyte of data per year, so choosing a platform that could scale and continue to perform analytics on an ever-larger data set was vital.
Auto-Generating Digital Twins Using the C3 AI Platform
The company recognized that asset digital twins, which enable monitoring, diagnosis, and predictive maintenance, would help improve service-level agreements (SLAs) for its installed base. Because downstream changes to asset configuration are typically not reflected in engineering drawings, maintaining accurate BOMs in systems-of-record is a challenging task.Historically, the manufacturer has employed several hundred technical specialists to maintain BOMs at an annual cost of more than $100 million.The manufacturer sought a scalable, productized solution to perform this parsing and analysis automatically across all its product lines.
Enterprise AI for Predicting HVAC Chiller Failures
The building systems division of a Fortune 500 manufacturer provides equipment and services that provide comfort to customers while optimizing building energy expenditures. Historically, the building systems conducted chiller maintenance reactively which led to business disruptions and downtimes and costly emergency repairs that ultimately impacted customer satisfaction.The manufacturer needed a reliable solution that rapidly integrated all relevant equipment and facility data sources and allow it to reduce downtime and costly, unscheduled maintenance for its commercial Heating, Venting & Cooling (HVAC) chiller systems.
Optimizing Semiconductor Manufacturing Yield
The U.S.-based manufacturer designs and delivers a broad set of cutting-edge products, including radio frequency filters, amplifiers, modulators, attenuators, and more. However, the manufacturer had been experiencing lower than expected overall yield in some of its most complex products.
Rethinking Commercial Credit with AI
The bank’s commercial lending process is complex. A team of hundreds of relationship managers, analysts, and credit officers must efficiently provide many credit products and services to thousands of businesses spread across dozens of countries and sectors.To do this, the bank must quickly assess the credit worthiness of its clients, which requires collecting, reviewing, and analyzing thousands of fields of both qualitative and quantitative information including financial statement line items, performance metrics, credit history, and natural language assessments of the borrower’s business prospects.Credit officers need to navigate disparate systems, iterate with relationship managers and credit analysts on credit structure and conditions, and request additional information before making a final decision.
Execute Energy and Sustainability Management Solutions
To improve the management of a diverse portfolio of more than 500 facilities worldwide, from typical office buildings to very energy-intensive labs and data centers.With such a disparate portfolio, the company needed a software solution to manage energy and greenhouse gas (GHG) emissions, integrate and analyze sustainability and energy metrics, and report results from energy and emissions mitigation projects for its annual sustainability report and the Carbon Disclosure Project.
Optimize Production Schedules and Decrease Manufacturing Costs
The company had attempted to address forecasting challenges using traditional demand forecasting solutions that relied on statistical algorithms that typically generated a demand forecast every week. However, given the short shelf life of food products, sales orders were sent to the plant with little lead time, sometimes on a daily basis.The company procured additional rule-based solutions to improve production scheduling, but ran into challenges when trying to optimize schedules and failed to significantly improve manufacturing operations.
Enterprise AI for HealthTech
Throughout its long history, the company has grown organically as well as through many strategic acquisitions.The high degree of IT complexity hampers the company’s ability to obtain critical business insights and answer questions such asWhat product lines / SKUs should be prioritized to help condense lead times?Where in the supply chain do parts or products get stuck (i.e., “lazy inventory”)?What is the optimal allocation of inventory across distribution centers to maximize OTIF for each product line / SKU?While these challenges were significant in the normal course of business, they became critical issues during the peak of the COVID-19 pandemic.
Global 100 Enterprise-Wide Digital Transformation
ENGIE, the largest power producer in the world, chose the C3 AI Platform on Amazon Web Services (AWS) to create and implement a platform for enterprise-wide digital transformation and a center for IoT excellence, spanning customer service, metering, energy management, and maintenance.The first applications developed and deployed into production on the ENGIE digital platform include performance optimization for gas power plants, efficiency optimization of heating and cooling plants, energy analysis and management for enterprise and consumer customers, and anomaly detection of wind turbines.
Improve Uptime and Asset Reliability
A Fortune 500 biotechnology company, with a wide portfolio of medicines and diagnostics for chronic and life-threatening conditions, set a strategic priority to leverage AI/machine learning solutions to improve manufacturing asset reliability and optimize maintenance costs.However, site operators were inundated with alarms that captured only a small percentage of failures and provided only minutes of lead time prior to a failure event. As a result of unanticipated centrifuge failures, millions of dollars were lost due to interrupted operations and discarded products.The company searched for an AI-enabled solution that can predict impending centrifuge failures with more accuracy and more lead time to reduce unplanned downtime and maintenance costs.
Dynamic Optimization of Inventory Management
A global manufacturer of aircraft engines, avionics, and other aviation products maintains 90 major product lines with variations that require tens of thousands of parts from hundreds of manufacturers spread across the globe.The complexity of the supply chain, and the costs of maintaining inventory, are significant. For just two of the components of its aircraft engines, the company maintains $600 million in parts inventory, including $400 million in fast-moving inventory, from hundreds of suppliers. Optimizing inventory levels can mitigate supplier delays and improve gross margins and revenue.
Founded in 1983, Advantech is a leader in providing trusted innovative embedded and automation products and solutions. Advantech offers comprehensive system integration, hardware, software, customer-centric design services, and global logistics support; all backed by industry-leading front and back office e-business solutions.
PTC is a global provider of technology platforms and solutions that transform how companies create, operate, and service the "things" in the Internet of Things (IoT). The company's next-generation ThingWorx technology platform gives developers the tools they need to capture, analyze, and capitalize on the vast amounts of data being generated by smart, connected products and systems. The company's field-proven solutions are deployed in more than 26,000 businesses worldwide to generate a product or service advantage. PTC's award-winning CEO, considered an industry thought leader, co-authored the definitive guides to the impact of the IoT on business in the Harvard Business Review.
Altair is a leading provider of enterprise-class engineering software enabling innovation, reduced development times, and lower costs through the entire product lifecycle from concept design to in-service operation. Our simulation-driven approach to innovation is powered by our integrated suite of software which optimizes design performance across multiple disciplines encompassing structures, motion, fluids, thermal management, electromagnetics, system modeling and embedded systems, while also providing data analytics and true-to-life visualization and rendering.
Opentrends provides the most advanced custom software solutions to place companies in the Digital Transformation path, allowing them to achieve innovation advantage and contribute to their growth acceleration.More than 18 years delivering innovative projects of high technological complexity in a wide range of industries, while guaranteeing quality and alignment with our client’s objectives. In fact, over a hundred global companies across various industries have full Trust in our unique ability to design, build, implement, and integrate complex software innovations into their organizations.Let’s excel your digital future today.
Amazon Web Services
Amazon Web Services has developed the managed cloud platform AWS IoT to let connected devices easily and securely interact with cloud applications and other devices. AWS IoT can support billions of devices and trillions of messages, and can process and route those messages to AWS Endpoints and to other devices reliably and securely. With AWS IoT, your applications can keep track of and communicate with all your devices, all the time, even when they aren’t connected.On top of this platform, AWS also offers a variety of analytics solutions by AWS or third-party suppliers that can help meet all kinds of needs related to data analysis.