Even before the pandemic, manufacturers were facing unprecedented change and new demands that could permanently transform their industry. Those with the vision and technology, that are agile enough to capitalize on emerging opportunities, are best positioned for success.
Innovative manufacturers have long recognized the need for data-driven operations and automated processes, and now they’re pivoting toward new ways of doing business—data-driven operations, automation, digitization, and advanced analytics through artificial intelligence (AI) and machine learning (ML)—in response to an unpredictable, unprecedented year and ongoing business concerns that include:
By implementing emerging technologies and adopting new processes, these companies have better positioned themselves to capitalize on new opportunities and succeed in the face of persistent disruption.
Embracing these emerging technologies and the new Internet of Things (IoT) and Industrial Internet of Things (IIoT) devices that leverage them has already paid dividends for some companies. The manufacturers that had already modernized were able to quickly change their production lines normally reserved for industrial products and consumer goods to instead produce mass quantities of hand sanitizer and build personal protective equipment (PPE) and other items urgently needed to help healthcare professionals and patients.
Manufacturers can also use these solutions to improve business and IT performance, resource allocation, process modeling, and more. For example, advanced analytics enabled by ML can optimize the data generated by all those IoT and IIoT devices to deliver insights that help streamline processes, address customer needs, and better plan for the ebbs and flows of the business.
To successfully implement AI and digital technologies across the entire enterprise, manufacturers must begin with a scalable infrastructure that can handle mission-critical workloads, a business-wide data sharing model that discourages silos, and end-to-end connectivity.
Predictive analytics—using AI and ML to collect and analyze data and predict and address problems before they occur—is one example of digital transformation that’s growing across the business landscape. There’s good reason for that. According to McKinsey & Company, the widespread adoption of predictive maintenance technologies could reduce maintenance costs by 20 percent and unplanned outages by half, and extend machinery life by years.
The demand and market for transformative technologies is expanding in several areas, including:
According to a Flexera report, 55 percent of manufacturers recognize this growing need to evolve their processes and are already planning to increase IT spend to support digital transformation initiatives. BMC has proven solutions that leverage automation and the latest emerging technologies to help you reduce costs, improve productivity, enhance customer experiences, and grow your business as you prepare for your evolution to an Autonomous Digital Enterprise.
To find out more about how modern solutions can help solve manufacturing’s toughest challenges, including perspectives from industry executives, read our latest white paper.
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