Articles tagged as Predictive Analytics

Predictive Maintenance in IIoT: Leveraging Time Series Data for Equipment Longevity
· Connected Industry

Predictive Maintenance in IIoT: Leveraging Time Series Data for Equipment Longevity

The industrial Internet of Things (IIoT) helps bind machines, sensors, and systems together. They form a network of intelligent devices working together to generate and share data. This approach to managing devices has revolutionized how industries manage, monitor, and maintain their equipment. This connected network provides visibility into equipment performance, process throughput, and overall productivity. Predictive […]

Read more →
Time Series Data as the Backbone of Smart Grid IIoT Solutions
· Renewable Energy

Time Series Data as the Backbone of Smart Grid IIoT Solutions

The smart grid transformed modern energy management by integrating digital technology into traditional power grids. It enhances real-time monitoring, control, and optimizes energy distribution and consumption. This change is crucial for meeting the growing need for reliable, sustainable, and efficient energy systems.Data is essential for this to work. Readings from sensors, devices, and machine controls […]

Read more →
Enhancing Industrial IoT with Predictive Analytics
· Connected Industry

Enhancing Industrial IoT with Predictive Analytics

Predictive analytics are revolutionizing how Industrial IoT (IIoT) businesses manage and maintain their equipment. Predictive maintenance, a key application of predictive analytics, is pivotal in preempting failures and enhancing operational efficiency. By leveraging advanced data pipelines and machine learning models, companies can detect anomalies and predict equipment failures before they occur, significantly reducing downtime and […]

Read more →
Manufacturing Analytics: What it is and top use cases
· Analytics

Manufacturing Analytics: What it is and top use cases

With the arrival of Industry 4.0 and the Industrial Internet of Things (IIoT), a digital transformation is currently underway. The manufacturing industry is beginning to use industrial analytics driven by real-time production data, not only to make better, faster decisions, but also to enable automation across the organization making data analysis in manufacturing an important […]

Read more →
[Use case] Improved machine performance using moneo Real-time Monitoring System
· Predictive Analytics

[Use case] Improved machine performance using moneo Real-time Monitoring System

A large manufacturer with assembly and sub-assemblies mass produces automotive parts and components. A plant of this magnitude requires equipment, such as motors, pumps, compressors, fans, vibratory feeders, and other machines. The manufacturer had incurred significant financial losses, experiencing bottlenecks that caused unplanned downtime and increased scrap rates. Predictive maintenance programs lacked process visibility and […]

Read more →
Data readiness: ensuring a solid base for predictive operations and condition monitoring
· Connected Industry

Data readiness: ensuring a solid base for predictive operations and condition monitoring

Digital manufacturing is forecasted to bring out massive changes to the industrial world. Today, regardless of the maturity level of digitization projects in each company, the main motivation is staying competitive, boosting revenues, and enhancing profits, while reducing costs and being agile. There are several ways through which an industry can engage in Industry 4.0, […]

Read more →
Critical Upgrade for Industry 4.0: Analytics That Matter
· Connected Industry

Critical Upgrade for Industry 4.0: Analytics That Matter

For the last fourteen years, LNS Research and its predecessors pub­lished bi-annual research in partnership with MESA Manufacturing on the use of data in manufacturing. Until 2018, the research was ti­tled, “Metrics That Matter.” Starting with 2018 we see an important shift in fo­cus, examining “analytics that matter.” This evolutionary step in the study marks […]

Read more →
Machine Learning: The Next Step in Advanced Analytics
· Connected Industry

Machine Learning: The Next Step in Advanced Analytics

Machine learning enables organizations to harvest a higher volume of insights from both structured and unstructured data than they could otherwise accomplish with traditional business intelligence solutions. 1. A New Dimension in Predictive Analytics In today’s economy, all business is becoming data business. In a study conducted by Forrester Consulting, 98 percent of organizations said that […]

Read more →
How IoT will continue to Transform Manufacturing Industry
· Connected Industry

How IoT will continue to Transform Manufacturing Industry

We live in an era where smart things from being a luxury have now turned into a necessity for everyone. Products with smart access and wireless connectivity are more common than they were five years ago. According to a report, 79 percent of technology consumers in the U.S alone are connected to at least one […]

Read more →
New business opportunities using IIoT and analytics
· Connected Industry

New business opportunities using IIoT and analytics

New business opportunities for IIoT Today, manufacturers around the world are seeking new ways to meet market needs, improve products, optimize operations, increase revenues, and reduce costs and risk. Automation, digitalization, and the adoption of IIoT are important requirements for companies that wish to lower costs, drive new efficiencies, and find new business opportunities with […]

Read more →
How IoT Supported Maintenance Improves Product Quality
· Predictive Analytics

How IoT Supported Maintenance Improves Product Quality

The number of possible applications of IIoT grows every day, and this trend isn’t likely to change anytime soon. The latest numbers estimate that the combined IoT markets will reach a staggering $520B by 2021. An industry that is definitely being affected by the recent developments in IoT technology is maintenance. There are many reasons […]

Read more →
Building a Successful Roadmap to IIoT Implementation
· Connected Industry

Building a Successful Roadmap to IIoT Implementation

Having the right pieces in place, setting reasonable expectations, and a dedication to project initiatives may be the best roadmap to a succesful IIoT implementation. Planning a Digital Transformation We often talk to companies who have predictive and preventative aspirations but who still don’t have machines networked, the necessary IT infrastructure to capture and aggregate […]

Read more →