Manufacturing and energy companies collecting sensor data at scale are hitting the same wall: PostgreSQL, SQL Server, Oracle, and MongoDB were not designed for the volume, velocity, and retention demands of industrial time series. Mike Freedman,…
Edge AI enables energy companies to monitor aging brownfield infrastructure by processing sensor data locally, replacing the diagnostic expertise lost as experienced engineers retire. At IIoT World Energy Day, panelists from TDK SensEI, HiveMQ, PrivacyChain, and…
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…
Piezoelectric vibration sensors have been the factory standard for more than 50 years. According to Dr. Antoine Filipe, CTO of Tronics Microsystems, a TDK Group Company, MEMS-based digital sensors are now following the same replacement curve…
Manufacturing has shifted into a phase of scaled execution. Today, leaders build autonomous systems that contextualize, secure, and act on data in real time. Based on insights from industry leaders at previous editions of IIoT World…
The transition to Industry 4.0 has long been stalled by the "Data Silo" problem. In 2026, the conversation has shifted. Leading manufacturers are synchronizing Atoms (physical goods), Bits (digital data), and Neurons (human intelligence) through a paradigm known as Liquid Computing. This…
As manufacturers face volatile energy costs and aggressive decarbonization targets, the focus for 2026 is shifting from passive monitoring to active grid interaction. The following 10 platforms and technologies were highlighted by industry leaders during IIoT World…
Connected devices and sensors support automated energy management and delivery, seamless integrations and predictive maintenance. It’s no secret that much of the US electric grid urgently needs an upgrade. The 1960s and 70s saw the construction…
Manufacturers are moving control systems off physical hardware and into virtual environments to reduce downtime, lower costs, and respond faster to production needs. As industrial automation evolves, more manufacturers are looking to virtualization—not just for analytics…
Manufacturing faces a widening AI readiness gap: AI capability is doubling every 3.5 months, a 100x improvement in a single year, according to data cited during an IIoT World panel session. Yet industrial adoption remains slow…
As industrial organizations accelerate their digital transformation journeys, one persistent challenge continues to block progress: the gap between Information Technology (IT) and Operational Technology (OT) teams. While "IT/OT convergence" has become a buzzword in Industry 4.0…
Traditional Manufacturing Execution Systems were designed for a world where data flowed in one direction, from the shop floor up to enterprise dashboards, in batch intervals measured in minutes or hours. That architecture cannot support the…