One Database Swap Cut Equipment Monitoring Costs 60%
· Industrial IoT

One Database Swap Cut Equipment Monitoring Costs 60%

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, Co-founder and CTO at Tiger Data, spoke with Lucian Fogoros of IIoT World at Hannover Messe 2026 about what […]

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AI Governance vs Data Governance: Why They Need Opposite Approaches
· Artificial Intelligence

AI Governance vs Data Governance: Why They Need Opposite Approaches

Only 55% of data and analytics teams rate themselves effective at managing governance policies, the lowest score across 14 capabilities measured in the 2025 Gartner CDAO Agenda Survey. Building analytics solutions scored 85%. The gap shows that governance remains the weakest link in data and artificial intelligence programs, and most organizations respond with approaches that […]

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Industrial Cybersecurity Threats for 2026
· ICS Security

Industrial Cybersecurity Threats for 2026

OT cybersecurity threats in 2026 are crossing boundaries that previous threat models did not account for. At S4x26, presentations from Secvulre, Accenture, Copia Automation, ABS, and Emerson identified four threats reshaping how asset owners assess risk: the weaponization of distributed energy resources through harmonic swarm attacks, hardware trojans designed for physical destruction, Industrial Control Lifecycle […]

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Clean Data Is Now a Cybersecurity Requirement for Industrial AI
· ICS Security

Clean Data Is Now a Cybersecurity Requirement for Industrial AI

The phrase “garbage in, garbage out” has been used for decades, but it has new weight in manufacturing AI. An AI model used for predictive maintenance, quality analysis, or process optimization relies on data from machines, sensors, historians, files, inspection systems, maintenance platforms, and production environments. If that data is compromised, manipulated, or introduced through […]

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Can Manufacturers Trust AI to Act?
· Smart Manufacturing

Can Manufacturers Trust AI to Act?

AI already produces summaries, recommendations, and reports across manufacturing. Few manufacturers trust those outputs enough to act on them.Searching a document library or summarizing a maintenance file is a support function. Recommending a process change, flagging a quality risk, supporting supplier approval, or triggering a production workflow sits in a different category. The consequences are […]

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

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, and entirely custom data connections between them. As organizations deploy artificial intelligence, that absence of standardized data architecture has […]

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Why 80% of Power Generation Runs at the Edge
· Energy

Why 80% of Power Generation Runs at the Edge

Close to 80% of power generation deployments in ABB’s global electrification and power install base run on-premise at the edge. That figure, shared by Cody Falcon of ABB Energy Industries during IIoT World Energy Day 2026, is not an aspiration. It is the current state of how power gets managed. The reasons are practical: battery […]

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From Sensor to Decision: Why Speed Defines Industrial AI
· Smart Manufacturing

From Sensor to Decision: Why Speed Defines Industrial AI

In manufacturing, the window between a small deviation and a costly event can be measured in seconds. A vibration pattern shifts, a batch parameter drifts, a temperature moves outside its normal band. The data exists, but by the time it reaches the person who can act, the window has closed. Response speed for AI in […]

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Where to Put Intelligence: Edge AI for Factory Maintenance
· Artificial Intelligence

Where to Put Intelligence: Edge AI for Factory Maintenance

Manufacturing AI deployments often fail when all intelligence sits in a single layer, either pushed entirely to the cloud or crammed into the sensor level. Intelligence needs to sit where it can operate reliably, respond in time, and remain secure. During a panel at IIoT World’s AI Manufacturing Day 2026, experts from TDK SensEI, AWS, […]

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What Is Physical AI and How Does It Work in Factories?
· Smart Manufacturing

What Is Physical AI and How Does It Work in Factories?

Physical AI integrates artificial intelligence software with physical factory hardware, from robotic arms and mobile manipulators to quadruped sensor platforms, so machines can see, reason, and adapt to real-world conditions without human guidance at every step. Companies including Cambrian Vision (Germany), Inbold (France), and Path Robotics (US) are deploying these systems for tasks from flexible […]

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The Reality of Agentic AI in the Smart Factory
· Smart Manufacturing

The Reality of Agentic AI in the Smart Factory

The industrial sector is flooded with claims about fully autonomous operations, but for manufacturing executives, separating marketing from operational reality is critical. Despite the billions projected for artificial intelligence this year, the factory floor remains a complex, physical environment that does not easily bend to software trends. Only 20% to 25% of manufacturers have reached […]

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