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Articles tagged as highbyte

The Industrial Data Maturity Model

Manufacturers investing in AI, advanced analytics, and autonomous systems face a recurring problem: the data underneath these initiatives is not ready to support them. Amazon Web Services and HighByte published a 25-page white paper, "A Maturity…

What Is Unified Namespace (UNS) and the i3X Standard?

Industrial environments have been built one use case at a time, leaving most large manufacturers with fragmented IT and OT infrastructure. A manufacturer with 10 sites might run four different home-grown MES platforms, three different ERPs,…

How Much Should Factory AI Do on Its Own?

Agentic AI will bring thousands, potentially tens of thousands, of AI agents to the factory floor. Every one of them will need data, and not all data. Agents do not perform well when exposed to massive…

How Is Industrial AI Performing in Production?

ABB resolves 80% of measurement device faults through an AI copilot, without a support call. HighByte compressed Alcon's one-year plant-wide digital transformation to less than one month. InfluxData and Litmus take manufacturers from three sites to…

Data Context Decides Industrial AI Results

For two decades, manufacturers have tried to make analytics, machine learning, and AI work with industrial data, and for most of that time the bottleneck had nothing to do with the technology itself. It was the…

How Agentic AI Changes Factory Data Requirements

Most factory data architectures today serve between 10 and 50 consuming systems. Agentic AI will push that number into the thousands, a 100x increase in edge-based data consumers. The ISA-95 layer-by-layer model was not designed for…

Scaling GxP Innovation with Industrial DataOps

Life sciences manufacturers operate in environments where innovation and compliance must coexist. But how is that possible in practice, and what use cases are emerging across the industry? In a recent webinar hosted by IIoT World,  “Adapting GxP…

Edge AI + Intelligence Hub: A Match in the Making

The convergence of edge AI and centralized intelligence hubs is creating a new operational architecture for manufacturers seeking real-time decision-making without sacrificing data governance or scalability. In this article, IIoT World examines how pairing local inference…

Why C-Level Leaders Must Rethink Industrial Data Modeling Now

Industrial AI initiatives fail far more often from poor data foundations than from flawed algorithms. For C-level leaders overseeing digital transformation, the strategic question is not which AI platform to buy but whether their organization's data…

Industrial AI Needs a Backbone—And That Backbone Is DataOps

At Hannover Messe 2025, John Harrington of HighByte offered a timely reminder: as AI races ahead in the industrial sector, the infrastructure supporting it—specifically, DataOps—needs to keep up. While AI dominates the headlines, its power is fundamentally…