![]() ![]() Implementing data extraction, collection, and standardization across sites and factories provides manufacturers with a steady stream of insights. Plus, they need not interfere with existing assets. I4-driven solutions can accommodate OT and IT demands at the same time. Many must also navigate a corporate culture skeptical of change and contending with shrinking budgets. For their part, manufacturers are eager to optimize production lines, increasing assets and decreasing waste. The idea of fusing their processes and environments can seem risky because IT requires regular updates, which could open up the potential for disruptions to operations. Applying digitization and data science and analytics to OT now makes all the difference, even of the slightest margins, for achieving optimum output from the same, if not even less, input. But today’s competitive market and the global disturbances that influence it allow no time for disjointed production and information processes. Historically, IT and OT existed in parallel, with separate product owners, unintegrated budgets, and distinct users. That leads to greater business value by taxing resources less and empowering people on the shop floor more.Įnacting this plan begins with recognizing that shop floor operational technology, the OT, is merging with the IT. By implementing data- and AI-driven products and tools in their manufacturing processes, industrial enterprises can break free of legacy machinery and unlock valuable insights. In our vision, this new plan hinges on helping customers leverage all that Industry 4.0 solutions can offer. We believe there’s much to be gained by reducing the footprint of manufacturing and more efficiently handling resources, both natural and human. This is why we say that the planet needs a new business plan. As the current one ages, their knowledge is at risk of draining away.Īnd yet, we believe that fulfilling the demands of a volatile world and bringing tech modernization to production processes are part of the same solution. That makes manufacturing unattractive for the new generation of workers. Such variability within a single factory and, all the more so, across factories hamstrings the possibility of having insights and tools to enhance efficiency and profitable production. Legacy machinery abounds and its accompanying IT is disparate, leading to siloed data and unrealized efficiency. Many continue to use on-premises legacy software that is particular to just one factory, so although insights exist, they go unanalyzed and can’t be applied across sites. Meanwhile, manufacturers tasked with supplying this world face localized struggles.
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