Manufacturers are increasingly investing in edge innovation to drive smart manufacturing. Numerous advanced edge applications, such as digital twin and computer vision, are transforming continuous, real-time streaming data – from people, equipment, facilities and products – into insightful innovation, more efficient operations and revenue growth. But barriers to edge success are significant. Data silos, scalability limitations, fragmented technologies and security concerns are but a few of the obstacles holding back the full potential of computing at the edge. Manufacturers are also burdened by the complexity of figuring out the optimal architecture that will scale these applications in the future. A recent Vanson Bourne research study of more than 1,800 large enterprises globally showed that while 94% of organizations intend to deploy edge solutions, only 10% report being in advanced production. The study also shows that approximately 85% report they need a simpler approach to edge set-up. While organizations understand the benefits of edge computing solutions, implementation and complexity are holding them back. These challenges are limiting edge investment ROI, which slows the adoption of smart manufacturing initiatives and limits their benefits. To overcome this, enterprises need to take a comprehensive approach to edge deployments. Dell Validated Design for Manufacturing […]
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