Audience
IoT analytics solution for IT teams wanting to detect and Predict maintenance in IoT data
About Concentio
Predictive and prescriptive analysis of data received from various IoT data sources, including sensor, device, equipment or network enabling the users to take actions in real time on probable anomalies detected. Concentio® IoT Doctor can ingest data from numerous IoT data sources and alert the user of bad incoming data so that the inherent problem is fixed the data is not further used for descriptive, predictive or prescriptive analytics. Concentio® Production Line Fault Prediction performs the AI-based predictive analysis of the production line components using the IoT Data, videos, images, etc. Concentio® Optimal Asset Management analyzes the data coming in from the network of assets that provide utility services enabling the user to ensure timely maintenance of the network. Reduced capital expenditures by driving asset replacement decisions.
IBM Maximo Application Suite
IBM Maximo® Application Suite is a set of applications for asset monitoring, management, predictive maintenance and reliability planning.
Get the most value from your enterprise assets with Maximo Application Suite. It’s a single, integrated cloud-based platform that uses AI, IoT and analytics to optimize performance, extend asset lifecycles and reduce operational downtime and costs.
With market-leading technology from IBM Maximo, you’ll have access to configurable CMMS, EAM, APM and RCM applications, along with streamlined installation and administration, plus a better user experience with shared data and workflows.
Manage and maintain high-value assets with AI and analytics to optimize performance, extend asset lifecycles and reduce downtime and costs.
Streamline inspection processes with seamless, automated asset inspections driven by real-time data and artificial intelligence.
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SBS Quality Management Software Suite
The SBS Quality Management Software Suite (QMS Suite) is a group of 5 software modules that work together for efficient Quality compliance. The QMS Suite can be deployed on your local server or accessed from our cloud server.
Each module is designed for ease-of-use to reduce training overhead and improve overall compliance. Password controlled access and privileges ensure you may control access to critical features for each user.
The SBS QMS Suite of modules:
SBS Quality Database
- CAPA / 8D with root cause analysis
- Nonconformance management
- Risk analysis (FMEA, SWOT, risk register)
- Audit management
SBS Ground Control
- Employee training management (LMS)
- Document control
SBS Asset Tracking Database
- Calibrated equipment
- Preventive maintenance
SBS Inspection Database
- Data collection / SPC
- Control Plans
SBS Vendor Management
- Approved vendor list / AVL
- Supplier qualification plans
Great product for efficient and affordable QMS Compliance.
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AWS IoT Analytics
IoT data is highly unstructured which makes it difficult to analyze with traditional analytics and business intelligence tools that are designed to process structured data. IoT data comes from devices that often record fairly noisy processes (such as temperature, motion, or sound). The data from these devices can frequently have significant gaps, corrupted messages, and false readings that must be cleaned up before analysis can occur. Also, IoT data is often only meaningful in the context of additional, third party data inputs. For example, to help farmers determine when to water their crops, vineyard irrigation systems often enrich moisture sensor data with rainfall data from the vineyard, allowing for more efficient water usage while maximizing harvest yield. AWS IoT Analytics automates each of the difficult steps that are required to analyze data from IoT devices. AWS IoT Analytics is a fully managed and pay-as-you-go service that scales automatically.
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Davra IoT Platform
Davra IoT helps companies, fleet owners, OEMs, municipalities and others to define, build and rapidly bring industrial-grade IoT applications on a reliable, secure and scalable IoT platform. Get your IoT project to the market in less than 50 days. Experience an open system with integrations at its core. Reduce your IoT project cost by up to 80%. Get descriptive, diagnostic, predictive and prescriptive analytics data. Run our cloud-based streaming analytics, ML, NLP and AI algorithm at the edge of the network. Experience HTML5 dashboard visualization, advanced Geo-mapping, layout manager and much more. Get a complete developer suite with source control, versioning, full code editor and more. Provide an "asset-centric view" of IoT devices by attaching both static and dynamic attributes. Leverage a complete microservice-based design for infrastructure libraries and runtime engines.
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Integrations
No integrations listed.
Company Information
Scry AI
Founded: 2014
United States
scryai.com
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