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Prevent failures & downtime

Prevent failures & downtime

Prevent failures & downtime

Product catalog summary
Overview: The document introduces AIDnow, a platform-independent decision support tool designed to enhance workflows by providing insights and recommendations for action. It focuses on anomaly detection, condition monitoring, and predictive maintenance for technical assets.
Key Features:
  • Intelligent Asset Health Management: AIDnow offers a comprehensive view of asset health conditions, aiming to prevent failures and downtime.
  • Data Utilization: The tool valorizes existing data and links information across companies to provide early failure detection and comprehensive assessments.
  • Recommendations: It provides relevant recommendations for service agents, technicians, and customers to enhance productivity and asset availability.
  • Seamless Processes: AIDnow ensures seamless processes and service scalability, promoting budget compliance and continuous cost optimization.
Functional Capabilities:
  • Predictive Maintenance: Includes state and trend monitoring of KPIs, correlation and data quality assessment, and alerting for unusual events.
  • Anomaly Detection: Identifies asset state and failures, provides actionable insights for work orders, and supports decision-making for troubleshooting and customer incidents.
  • Condition Monitoring: Goes beyond data visualization to monitor asset performance and track systems effectively.
Benefits:
  • Improved decision-making through reliable insights and proactive options.
  • Enhanced forecasting and future recommendations for operations and maintenance measures.
  • Optimized scheduling and budgeting with scenario planning.
Contact Information: For further details, visit datability.ai/contact.
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Catalog excerpts

Prevent failures & downtime-1

Many platforms often enable loT-related automation - predictive intelligence and performance analytics assists you to monitor, accelerate and optimize processes and workflows with a broad pool of built-in KPIs, dashboards and analytics. However, this still leaves potential for an automated and intelligent decision support. To equip assets with smart capability to identify and predict asset health conditions, individual data models are necessary. These rely on additional information from customer and field service management - especially from the valorization of existing data and a crosscompany link of information early failure detection and comprehensive assessments for your operation relevant recommendations for your service agents, technicians, and customers fields of operation workflows and connected operation. Linking and leveraging of this is challenging. We transform your challenge into operational applications - from the utilization and modification of platform-native tools to the tailor-made development of individual machine learning modules for your needs. The merging of machine learning technologies, engineering methods, and domain knowledge addresses current gaps between your challenges and the platform capabilities. higher productivity and asset availability for your business seamless processes and service scalability to boost your platform budget compliance and continuous cost optimization RETROFITTABLE& PLATFORM-INDEPENDENT AIDnow is the solution for condition monitoring & predictive maintenance DATAbility GmbH, Karlsbader Str. 10,64295 Darmstadt

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Prevent failures & downtime-2

DATAbility DATAbility Monitor asset performance, keep track of your systems AIDnow automates the analysis and These insights are then interpreted and interpretation of complex machine & process presented via comprehensible notifications and data. The Al-based add-on detects unusual recommendations. For a strong and cost-patterns in your data, identifies current optimal decision support, you are able to conditions and predicts future states of optimize process times, resource utilization, your systems. maintenance actions and service scaling. AIDnow - actionable insights per asset, plant, and...

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