Featured here are original and timely articles from ARC analysts and guest writers on topics such as Digitization, New Business Models, Internet of Things, Industry 4.0, Smart Cities, and Smart Manufacturing. We dive into technologies such as additive manufacturing, machine learning, asset performance management, device connectivity, IIoT architecture, cybersecurity, augmented reality, and more related to digitization and transformation of industries, infrastructure, and cities. Our goal is to provide readers with clear and concise analyses, opinions, and discussion of these trends, technologies, and services. Sign up for our weekly IIoT/I4 Viewpoints newsletter.
SAP announced the general availability of SAP Information Collaboration Hub for Life Sciences, option for U.S. supply chain, a blockchain-technology hub to help eliminate counterfeit drugs along the pharmaceutical supply chain.
With today’s maintenance management functions being increasingly sophisticated and complex, the need to collect, synchronize, and share EAM and operations data by EAM integration is critical to a successful cross-functional organization.
Emerging blockchain technology enables members of a consortium to share data in a secure and trusted environment to enable improvements in operational performance. To maximize the effectiveness of a blockchain-enabled supply chain track and trace solution and help ensure that the goals of the consortium members are met, the processing nodes of the supply chain must be included.
As today’s companies strive to better understand their businesses, insight from all organizational levels are needed to get a complete view of organizational health and business drivers with the use of analytics. There is an ongoing challenge of making sense of disparate data so it can be interpreted as actionable information.
Last month ARC published a report I wrote on the future of software for industrial automation and embedded systems. It was entitled “The End of Industrial Automation (as we know it)”. Here I’ll make some observations about some of the many common threads between future automation software and future software for the Industrial IoT.
A wave of digital transformation is sweeping through the industrial sector. Driven by innovative and potentially disruptive technologies, and by an emerging understanding of possible new ways of serving customers and competing in the marketplace, industrial companies are modernizing their IT and OT software.
A major technology disruption is approaching in the world of industrial automation. This disruption (software container technology) has the potential to render long-held supplier business models obsolete. It will also require suppliers of all types to adopt emerging software technologies and practices from the cloud computing domain.