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Manufacturing

Solving the Workforce Skill gap & avoiding Cybercrimes

In the era of digitalization, technology is changing the phase of every industry. Manufacturing industry is no exception to inclusion of technology for making the lives of people easier. RIG is always a step ahead in integrating technology for solving the issues of any industry. Here is a brief description on the problems that manufacturing industry is facing in the present day and how we are solving it:

In line with New Technologies:

Automation, the Industrial Internet of Things (IIoT), robotics, cloud computing and more...technology is advancing at warp speed, and most manufacturers struggle to keep up, let alone stay on the leading edge. By the time many IT departments have gone through the process of researching, getting approval, purchasing and installing new technology, a faster and more agile solution may have already emerged. The expert team at RIG help your organization grow profitably by incorporating useful technologies, we give insights while selecting the most practical, cost-effective technologies and equipment thus helping you get the best ROI.

Avoiding Cybercrimes:

The technology advancement brings in the need for cyber security as well. The majority of manufacturers are relying on outdated security systems incapable of addressing the number and complexity of threats today, leaving many of them vulnerable to costly breaches. Businesses need to employ more sophisticated ways of securing their networks, as the traditional firewall approach may not be adequate to keep hackers from accessing them and doing real damage. RIG ensures that organization is secured from any cyberattacks, by educating employees and using the best weapons for combating the cyberattacks.

Solving the Workforce Skill Gap:

Having a skilled workforce is always a priority in any industry. But, unfortunately since few years, manufacturing industry is not something that is captivating the interest of young & skilled workers. Alternatively, RIG helps in building dynamic algorithms can use machine learning applications to perform complicated tasks that would otherwise require a specifically trained workforce.