This is the second article in our series exploring the challenges of Digital Transformation in industrial companies on their path to full IT-OT convergence. In this edition, we focus on the Data Journey, the process of transforming raw data into intelligent, AI-driven organization.
Just as Data Teams embark on their Data Journey, Infrastructure Teams must navigate their own Digital Infrastructure Journey to enable this transformation. This article explores the challenges of IT-OT convergence in industrial companies. Stay tuned as we break down each stage of this evolution and uncover the key steps to a seamless transition.
When implementing a data-based strategy, it all starts with the Data. One of the typical sources to extract data are IoT devices. Knowing which IoT communication protocols exist and how to use them for data communication is essential as they are the ones that make data gathering from them possible.
As organizations' appetite for seizing opportunities at the edge grows, data-driven industries must carefully select the right infrastructure to seamlessly scale from initial implementations to large-scale deployments across multiple facilities.This article explores why an Edge Management and Orchestration tool is essential for efficiently and securely scaling edge computing initiatives.
In industrial manufacturing, the cement industry is notable for its considerable environmental impact and high energy usage. Amid increasing environmental concerns and a drive towards sustainability, edge computing presents innovative solutions to improve supply chain efficiency, sustainability, energy conservation, and product traceability.
According to Gartner, “The technology or service offering must be innovative, impactful and available for purchase for a Cool Vendor.” With Barbara, companies can deploy, run, and manage their models across distributed locations, as easily as in the cloud.