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AI Predictive Maintenance: How to ensure peak asset performance | WIRED Brand Lab

Produced by Wired Brand Lab with IBM | In industries reliant on heavy assets, unexpected challenges like machinery failures are common. How can businesses predict and prevent these issues? Discover how IBM Maximo on AWS empowers companies to shift from reactive to predictive maintenance, harnessing AI-driven alerts to help detect anomalies and swiftly address challenges.

Released on 11/03/2023

Transcript

[gentle electronic music]

[Narrator] Life is filled with unexpected challenges,

especially in asset-heavy industries.

A train needs an immediate inspection,

a conveyor belt fails,

or machinery requires unexpected repairs.

Businesses need to be able

to quickly identify asset performance issues

in order to help prevent failure and unplanned downtime.

What if they could harness data

to help predict problems before they happen?

It's possible to tackle the toughest business challenges

with IBM Maximo Application Suite on Amazon Web Services.

Maximo is an asset management solution

that helps companies shift

from reactive to predictive maintenance.

In a single platform, Maximo helps businesses monitor assets

by using operational data

and AI-driven alerts to help detect anomalies

and plan for maintenance based on asset condition.

Field techs can connect via the mobile app

to their faraway in-house professionals

and come up with the right solution fast,

or they can leverage the AI assistant

to help identify the most probable cause of failure

and how it can be addressed.

Stay informed with IBM Maximo Application Suite on AWS.