Data contextualization refers to the process of enriching raw data. In manufacturing and production operations, this can mean data from sensors and final control elements, machine logs, production metrics, and many other sources of raw data being generated continuously.
In this Emerson Automation Experts podcast, Hamza Malik joins Jim Cahill to share a solution to silos of data, to bring them together to turn data into actionable information in order to drive performance improvements.
As systems become increasingly interconnected, we talk more and more about the importance of data and, more specifically, the need to get data to the right people, in the right format, at the right time, wherever they may be. This initiative has become even more...
The push for more sustainable operations around the globe has touched nearly every industry, and the life sciences are no exception. Manufacturing teams now need to carefully manage waste, energy use, water use, and emissions on top of all their existing...
Life sciences organizations are not short on data. Most plants already have many sensors in place to drive operational data to the control system so operators always know exactly what is happening at any given moment of production. Operations teams know that good data...
In just the last 10 years, biopharmaceutical supply chains have changed dramatically. The single-source manufacturing model is becoming much rarer, making way for multi-enterprise manufacturing collaborations and partnerships to better meet the changing needs of the...
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This blog features expert perspectives from Emerson's automation professionals on industry trends, technologies, and best practices. The information shared here is intended to inform and educate our global community of users and partners.