TRACTIAN
Tractian serves as the Industrial Copilot focused on enhancing maintenance and reliability by integrating both hardware and software to oversee asset performance, streamline industrial operations, and execute predictive maintenance approaches. The platform, powered by AI, enables companies to avert unexpected equipment failures and improve production efficiency. Headquartered in Atlanta, GA, Tractian also has a global footprint with branches in Mexico City and Sao Paulo, thereby expanding its reach. For more information, you can visit their website at tractian.com, where additional resources and details about their offerings are available.
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The Asset Guardian EAM (TAG)
The Asset Guardian (TAG) Mobi is the chosen preventive maintenance and asset management solution (EAM) for Microsoft Dynamics 365 Business Central, designed to deliver reliable manufacturing asset solutions that reduce risk and downtime.
TAG Mobi prevent downtime, maximize asset performance, and accelerate onboarding and training with the support of AI tools and intuitive dashboards.
No silos. No extra software. Just smooth integration and quick adoption—so maintenance teams can work faster, and managers get the data they need to make decisions.
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MaintainX
MaintainX is a mobile-centric platform designed for work orders and procedures that empowers teams by clarifying their tasks and providing guidance on execution.
Our service digitizes and streamlines various essential documents, such as:
- Maintenance Work Orders
- Safety Procedures
- Environmental Checklists
- Tooling & Gauge Reporting
- Preventative Maintenance Procedures
- Auditing/Inspection Workflows
- Training Checklists
By offering real-time insights from the field, we enable operational leaders to enhance efficiency and make informed decisions that drive productivity. This transformation not only simplifies workflows but also fosters a culture of safety and accountability within the organization.
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AWS IoT Analytics
The information produced by IoT devices is largely unstructured, which poses significant difficulties for conventional analytics and business intelligence systems that are designed primarily for structured data. These devices collect data from various noisy environments, such as temperature fluctuations, motion detection, and sound levels, resulting in common problems like data gaps, message corruption, and unreliable readings that require extensive cleaning prior to any substantial analysis. Moreover, the value of IoT data often hinges on its integration with external data sources from third parties. For example, irrigation systems in vineyards can improve moisture sensor readings through the inclusion of rainfall data, allowing farmers to refine their water use and boost crop productivity effectively. To facilitate the analysis of data generated by IoT devices, AWS IoT Analytics simplifies each intricate step in the process. This fully managed service operates on a pay-as-you-go basis, allowing it to effortlessly scale to accommodate varying requirements while also streamlining the overall data analysis procedure. By utilizing such automated solutions, companies can more effectively extract critical insights from their IoT data, ultimately leading to better decision-making and improved operational efficiency. In this way, organizations can harness the potential of their IoT investments to drive innovation and growth.
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