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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 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.

Media

Media

Integrations Supported

Apptricity Inventory Management
Causelink
Fieldman
Hardcat Asset Management
MapTrack
Mobideo
Mpower
Obzervr
Omnio
Opralog
Prometheus Platform
Quickwork
Redlist
Synergi Life
Xempla
eQube®-DaaS
xAssets

Integrations Supported

AWS App Mesh

API Availability

API Availability

Pricing Information

Pricing not provided

Pricing Information

$3.43 per month

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

Standard Support
Web-Based 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

Amazon Web Services

Date Founded

2006

Company Location

United States

Company Website

aws.amazon.com/iot-analytics/

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

Asset Tracking

Not specified

EAM

Not specified

Equipment Maintenance

Not specified

IoT Analytics

Not specified

IT Asset Management

Not specified

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