Business Intelligence, Big Data Management

Are Predictive Analytics Truly Predictive?

April 19, 2023

Are Predictive Analytics Truly Predictive?
Unplanned downtime is one of the most significant pain points for industrial manufacturers today, costing them an estimated $50 billion each year. The risk is even greater for process manufacturing, where a critical equipment failure could result in the loss of an entire batch, environmental hazards, or safety risks. The adoption of digital technologies, such as the industrial internet of things (IIoT), promises to mitigate these threats by forecasting equipment failures and catching faults before they lead to unscheduled shutdowns. However, in practice, several challenges arise when maintenance personnel and operations leaders work to implement an IIoT solution aimed at eliminating unplanned downtime.

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CGI

Founded in 1976, CGI is among the largest IT and business consulting services firms in the world. We are insights-driven and outcomes-based to help accelerate returns on your investments. Across 21 industries in 400 locations worldwide, we provide comprehensive, scalable and sustainable IT and business consulting services that are informed globally and delivered locally. We value your opinions and welcome your comments and questions on our posts here on LinkedIn. Please keep a polite, professional and constructive tone. We remove comments containing objectionable language and derogatory views. We do not allow content that is unrelated to the subject, and we remove discriminatory and racist comments as well as spam and advertising.

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Spotlight

CGI

Founded in 1976, CGI is among the largest IT and business consulting services firms in the world. We are insights-driven and outcomes-based to help accelerate returns on your investments. Across 21 industries in 400 locations worldwide, we provide comprehensive, scalable and sustainable IT and business consulting services that are informed globally and delivered locally. We value your opinions and welcome your comments and questions on our posts here on LinkedIn. Please keep a polite, professional and constructive tone. We remove comments containing objectionable language and derogatory views. We do not allow content that is unrelated to the subject, and we remove discriminatory and racist comments as well as spam and advertising.

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