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What is IBM Maximo Application Suite?

The IBM Maximo® Application Suite is a comprehensive set of tools aimed at efficiently overseeing and handling assets, as well as facilitating predictive maintenance and reliability strategies. With the Maximo Application Suite, organizations are empowered to fully leverage the potential of their enterprise assets via a cohesive, cloud-centric platform that utilizes AI, IoT, and analytics to boost performance, extend asset longevity, and reduce both operational downtime and costs. Users of IBM Maximo gain access to cutting-edge applications tailored for CMMS, EAM, APM, and RCM, all while benefiting from streamlined installation and management processes, which enhance the overall user experience through the integration of consistent data and workflows. The use of AI and analytical tools fosters effective oversight and upkeep of valuable assets, leading to not only improved performance but also longer operational lifespans and reduced expenses and downtime. By implementing automated asset inspections fueled by real-time data and artificial intelligence, organizations can notably upgrade their inspection methods. This all-encompassing suite equips users to tackle the complexities of asset management in the rapidly evolving landscape of contemporary business. Ultimately, the IBM Maximo Application Suite positions organizations to thrive by ensuring their asset management processes are agile, responsive, and efficient in a competitive market.

What is DC-OM DigitalClone for Wind O&M ?

Sentient Science presents DigitalClone for Wind Operations and Maintenance (DC-OM), a validated software-as-a-service (SaaS) solution tailored for wind turbine operators. This innovative platform enables providers and original equipment manufacturers (OEMs) to collaboratively assess the remaining useful life (RUL) and health of essential systems and components within an asset. By enhancing predictive maintenance strategies, DC-OM aims to significantly lower operations and maintenance (O&M) expenses while simultaneously prolonging the lifespan of equipment assets. The versatility of DC-OM allows users to deploy it as an independent monitoring solution or as an enhancement to current condition monitoring systems (CMS) and diagnostic tools, ensuring it is optimized for both scenarios. Notably, DC-OM can autonomously identify damage in assets that are presumed to be healthy, providing actionable insights, and it also tracks the evolution of damage with comprehensive uncertainty quantification. The insights generated by DC-OM are driven by a proprietary fusion framework that leverages physics-informed machine learning, supported by a distinctive architecture for unifying data from multiple sources, making it a unique asset in the wind energy sector. This comprehensive approach not only empowers operators to make informed decisions but also fosters greater efficiency and reliability in wind turbine management.

Media

Media

Integrations Supported

Aatmunn
Availability Workbench
Axonius
Azure Marketplace
Causelink
EZMaxMobile
FMI Works
Facility Grid
IAMTech
Maximl
Nexus Global APM Optimizer Suite
Obzervr
Proarc
Procify Workflow
Prometheus Platform
Span Global Services
VSight Workflow
Zaptic

Integrations Supported

API Availability

API Availability

Pricing Information

Pricing not provided

Pricing Information

Upon request
Fleet size dependent

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

Standard Support

Training Options

Documentation Hub

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

IBM

Date Founded

1911

Company Location

United States

Company Website

www.ibm.com/products/maximo/asset-management

Company Facts

Organization Name

Sentient Science Corporation

Date Founded

2001

Company Location

United States

Company Website

sentientscience.com

Categories and Features

Asset Tracking

Not specified

CMMS

Not specified

Condition Monitoring

Not specified

EAM

Inventory Management
Maintenance Management
Work Order Management

Equipment Maintenance

Not specified

IoT Analytics

Not specified

IT Asset Management

Not specified

Machine Monitoring

Not specified

Smart Grid

Not specified

Categories and Features

Fleet Management

Incident Reporting
Inspection Management
Maintenance Management

Maintenance Management

Predictive Maintenance
Preventive Maintenance

Preventive Maintenance

Condition Monitoring
Inspection Management
Predictive Maintenance

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