Strategy posts

Why Kubernetes isn't Ideal for Industrial Infrastructure. Barbara offers a powerful alternative: Docker-native edge orchestration, purpose-built for the thin edge.

‍Edge Computing is becoming a critical element as it empowers organizations to leverage edge data in unprecedented ways. However, embarking on an Edge Computing project can feel daunting, as building an edge solution requires significant time, investment, and a highly skilled team.

The digital transformation of any company, especially industrial companies, begins with a data-centric strategic approach. A “Data team” explores how to leverage the company’s data to solve specific problems, optimize processes, or create new revenue streams. This marks the start of what can be called their “Data Journey”. During this process, there will be a moment where the Data team must integrate their creations—apps and even AI algorithms—with the company's infrastructure to either extract data from their assets or trigger actions, or both. This is where friction begins.

Edge Computing as a solution to achieve convergence between IT, OT and ET

The use of AI in Edge Computing opens up exciting opportunities across industries, offering benefits like real-time decision-making, low latency inferencing, and enhanced data security. However, quantifying these benefits and demonstrating tangible returns on investment remains a challenge for many companies.‍