Data Modeling Guidebook | SPONSORED
The digital transformation is providing industrial organizations with an unprecedented amount of visibility and predictive insights into their operations. Every day, factories and other industrial environments are adopting new, smart technologies that are delivering vast amounts of data they can use to optimize production, predict machine failures, and improve quality. However, connecting these machines to data storage platforms or enterprise systems isn’t always seamless. It requires a standardized approach to defining and categorizing data, so everyone across the organization has a single source of truth and can make faster, more informed decisions.
This guidebook provides a comprehensive overview of data modeling and why it’s essential for every industrial environment—no matter where the organization stands along its digital journey. Readers will gain a better understanding of how data modeling works, what it looks like, how it works with existing standards (such as ISA-95), and tips on how to establish a data-modeling strategy.
Sponsored by HighByte
The Ultimate Guide to IIoT Standards and Interoperability for Manufacturers
The Standards and Interoperability digital booklet is an essential resource for manufacturers looking to navigate the complexities of the Industrial Internet of Things (IIoT). As manufacturing processes become increasingly connected, the ability to achieve seamless data interoperability has become a critical factor
Maximizing IIoT Impact with Open Data, AI, and Advanced Analytics: A Comprehensive Guide
The Industrial Internet of Things (IIoT) is revolutionizing industries like manufacturing, energy, and logistics by creating smarter, interconnected systems that elevate productivity and efficiency. With IIoT, machines, systems, and sensors are linked in real time, streamlining industrial automation and making predictive maintenance
Siemens Expands Industrial Copilot to Empower Manufacturing with Generative AI
In an era of heightened competitive pressure and skilled labor shortages, the manufacturing industry faces immense challenges in productivity and efficiency. Siemens is at the forefront of addressing these challenges by introducing powerful, generative AI-driven solutions with its Industrial Copilot. At