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Articles tagged as real-time analytics

Transforming Edge Data Into Real Business Value

Industrial companies produce more machine data than ever before.  Sensors, connected equipment, and automated systems generate terabytes of raw data every single day. Yet, most of this information never translates into measurable value.  It either sits…

How Open Data Standards Power Industrial Process Optimization

Proprietary data silos remain one of the largest barriers to scaling industrial process optimization across multi-vendor factory environments. Open data standards such as OPC UA, MQTT, and Sparkplug B offer a path forward by establishing common…

How Data is Rebuilding Manufacturing from the Edge Up

The factory of the future is not being built from the cloud down; it is being rebuilt from the edge up. In this article, IIoT World explores how modern edge data architectures are fundamentally changing manufacturing…

Embedded AI at the Edge: Rethinking Industrial Performance in Real Time

Running artificial intelligence models directly on edge devices inside factories, substations, and process plants is no longer experimental; it is becoming a competitive requirement. Embedded AI at the edge eliminates cloud roundtrip latency, keeps sensitive operational…

InfluxData at Hannover Messe 2025: Making Industrial Data Work for You

Hannover Messe 2025 is where manufacturers and industrial companies find practical solutions for real-world challenges. This year, InfluxData is bringing something different: an efficient, cost-effective way to handle industrial data in real time. Visit Hall 14, Booth H38, to…

Challenges & Solutions for the Aveva Licensing Model

Licensing is a big part of using Aveva’s industrial software. But, like many powerful systems, it can be confusing and expensive. In this post, we'll discuss the challenges of Aveva’s licensing model and why it can…

Modernizing Data Historians for Smarter Industrial Operations

A new technical paper is now available, offering critical insights for industries seeking to modernize their data historians and improve overall operational efficiency. This paper explores the evolving role of data historians in the era of…