The Industry 4.0 wave is fully upon us. We’re moving from basic internet connectivity and low-level automation to deep connectivity, pervasive data collection, AI-powered data analytics, and AI-powered automation.
A world in which industry 4.0 technology is ubiquitous will see the generation of huge volumes of data, which is being referred to as big data.
The sources of big data are piling up. They include self-driving cars that need high-quality data from multiple sensors to function properly. They also include the huge volume of video data that is being captured and uploaded to social media and corporate data centers. Another significant source is performance analytics. Smart devices, including smartphones and smart home appliances, record data that is analyzed and used to optimize performance.
Industries are not yet firmly in big-data territory. This means that it’s cost effective to analyze the data that is currently being collected from industry 4.0 technologies across industries.
Such data analysis is coming in handy in the connected worker platform, industry 4.0 safety applications, operational risk management software, human and organizational performance software, the industrial emergency management solution, and the contractor management solution.
Data collected from these technologies is being analyzed using artificial intelligence models, with the resulting insights being used to fuel growth in efficiency across fields.
The Contractor Management Platform
A contractor management solution helps digitize and manage interactions between a company and a third-party that it has contracted work out to. This scenario usually occurs when a company needs specialist expertise in an area and has to bring in another company.
A contractor management platform, in addition to helping streamline and centralize such interactions, also helps with safety. Through a centralized platform that collects data from systems such as a connected worker platform, the risks resulting from interactions with the contracted company are analyzed and potential hazards highlighted. This helps take appropriate preventative action.
The Industrial Emergency Management Solution
An industrial emergency management solution can greatly extend an organization’s capability to deal with emergencies. One of the ways it does this is by enabling the establishment of dynamic safety industrial routines, which help companies react better to unique incidents.
It also helps in the dissemination of real-time and accurate information, which increases the effectiveness of the emergency management efforts. Through the connected worker platform, visual information like videos can be shared in real-time, contributing to a complete picture of the state of affairs.
With such a solution, communication during emergencies is streamlined and centralized, making it more reliable. Emergency data can also be collected, analyzed, and used to improve emergency management practices.
Human and Organizational Performance Software
Here, data analytics is crucial. Data collected from human and organizational performance software is fed into AI-powered behavioral analytics models. This helps understand the natural behavior of workers. The insights thus derived are crucial in building a safety system that is centered around the worker, as opposed to a safety system that requires workers to make significant changes to accommodate it.
This approach to safety is much more effective.
In addition, human and organizational performance software helps conduct predictive analytics, which helps organizations take proactive action to stop hazards from being actualized.
The Connected Worker Platform
A connected worker platform comes with numerous advantages for the modern industrial set-up.
First, communication is centralized and is more efficient since it’s two-way and real-time.
Second, data collected through connected devices is analyzed and used to derive insights that are crucial in making optimizations.
Third, it helps in safety management. Workers can be involved in the establishment of safety protocols, for example by giving real-time feedback. Lessons learned in this way can be disseminated throughout the workforce.
In addition, a connected worker platform facilitates remote work. For example, an on-site worker wearing smart glasses can be guided through a repair by an expert who is thousands of miles away.
