Concentio Description
The analysis of data from diverse IoT sources, such as sensors and devices, facilitates predictive and prescriptive insights that empower users to address potential anomalies in real time. Concentio® IoT Doctor effectively processes data from various IoT endpoints, notifying users of any faulty incoming data to ensure that issues are resolved before the data is utilized for further analytical purposes. Additionally, the Concentio® Production Line Fault Prediction tool leverages AI to conduct predictive assessments of production line components by analyzing IoT data, videos, and images. Meanwhile, Concentio® Optimal Asset Management scrutinizes incoming information from a network of utility service assets, allowing users to schedule timely maintenance and ultimately reduce capital expenditures by informing strategic asset replacement decisions. This comprehensive approach not only enhances operational efficiency but also significantly contributes to improved asset longevity and performance.
Concentio Alternatives
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eMaint, a cloud-based Computerized Maintenance Management System (CMMS), is an award-winning software that helps organizations improve their ability to manage their maintenance reliability operations, equipment, and compliance. eMaint is suitable for any size company or enterprise. It integrates all the tools they require into one powerful platform, saving companies valuable time and money. It includes maintenance scheduling, work order management, reports and dashboards as well as predictive maintenance, preventive maintenance and mobile maintenance. It also manages inventory management and asset management.
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TRACTIAN
Tractian is the Industrial Copilot for maintenance and reliability, combining hardware and software solutions to monitor asset performance, manage industrial operations, and implement predictive maintenance strategies. Its AI-driven platform empowers businesses to prevent unplanned equipment downtime and boost production output. The company is headquartered in Atlanta, GA, and extends its presence globally with offices in Mexico City and Sao Paulo. Learn more at tractian.com.
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IBM Maximo Application Suite
The IBM Maximo® Application Suite comprises a collection of applications designed for effectively monitoring and managing assets, as well as for predictive maintenance and reliability planning.
Maximo Application Suite enables organizations to maximize the value derived from their enterprise assets through a unified, cloud-based platform that harnesses the power of AI, IoT, and analytics to enhance performance, prolong asset lifespans, and minimize both operational downtime and expenses.
Equipped with IBM Maximo's leading-edge technology, users benefit from adaptable applications for CMMS, EAM, APM, and RCM, all while enjoying simplified installation and management processes, alongside an improved user experience through the integration of shared data and workflows.
Utilizing AI and analytics allows for effective management and maintenance of high-value assets, which not only optimizes their performance but also extends their operational lifecycles and decreases costs and downtime.
By incorporating automated asset inspections that are powered by real-time data and artificial intelligence, organizations can significantly enhance their inspection procedures.
This comprehensive suite ensures that users are well-prepared to meet the challenges of asset management in today’s fast-paced business environment.
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AWS IoT Analytics
The data generated by IoT devices is predominantly unstructured, posing challenges for analysis using conventional analytics and business intelligence tools that cater to structured data formats. This type of data is often derived from devices that capture inherently noisy processes like temperature, motion, or sound, leading to frequent occurrences of significant gaps, corrupted messages, and erroneous readings that necessitate cleansing prior to any analytical work. Moreover, the significance of IoT data frequently relies on supplementary inputs from third-party data sources. For instance, vineyard irrigation systems enhance moisture sensor readings with rainfall data, assisting farmers in making informed decisions on when to irrigate their crops, thereby optimizing water usage and boosting harvest yields. AWS IoT Analytics simplifies and automates the complex steps involved in analyzing data from IoT devices, making it easier for users to gain insights. This service is fully managed and operates on a pay-as-you-go model, ensuring automatic scaling to accommodate varying data volumes. Consequently, organizations can leverage AWS IoT Analytics to advance their operational efficiencies and make data-driven decisions with greater ease.
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Integrations
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Company Details
Company:
Scry AI
Year Founded:
2014
Headquarters:
United States
Website:
scryai.com
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Product Details
Platforms
Web-Based
Types of Training
Live Training (Online)
Customer Support
Online Support
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