As Industry 4.0 continues to transform manufacturing, a sector that was already ripe with information is experiencing a spike in data production from the factory floor to corporate offices. As a result, the market for big data analytics in manufacturing is projected to reach 4.55B by 2026 as the sector continues to adopt “smart industry” initiatives.
While Industry 4.0 poses a tremendous opportunity for manufacturing, the industry faces a number of data challenges – one of the biggest being data silos occurring horizontally and vertically across organizations. This scenario creates a lack of visibility across the organization that can limit productivity and access to key insight needed to influence tasks such as quality assurance, production monitoring, incident analysis, forecasting and competitor intelligence.
Advancements in deep learning and data management are revolutionizing the way the manufacturing industry can harness and operationalize its data. Vyasa has combined these capabilities into its Layar intelligent data fabric. With Layar, manufacturing professionals can connect their data regardless of storage location or file structure. Once connected, Layar applies deep learning on the data sources creating a unified platform without moving or replicating any of the data. This enables content to be easily accessible and searchable allowing users to:
With an intelligent data fabric, manufacturers can overcome data silos and accelerate their access to data and insights; all while creating a foundation for smart industry initiatives.