Link to the resource: https://
iotechsys.com/wp-content/upl
oads/2025/11/industry-4-0-solutions-brief.pdf
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@fogoros
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Industry 4.0 Solutions: AI and Automation for Enterprise
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Unified Namespace Automation with Edge Central Data Tagging
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#Sponsored by @IOTechSystems
— Lucian Fogoros (@fogoros) 25 mars 2026
Everyone is talking about Unified Namespace. Few are actually implementing it. Edge Central has automated data tagging for UNS information models built right into the edge layer. That means your OT data arrives in UNS format without manual mapping.… pic.twitter.com/V3ANr1QbDx#Sponsored by @IOTechSystems Everyone is talking about Unified Namespace. Few are actually implementing it. Edge Central has automated data tagging for UNS information models built right into the edge layer. That means your OT data arrives in UNS format without manual mapping.
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Why Execution Remains Industrial AI’s Hardest Problem
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Link to the article: https://
mitsloanme.com/article/why-ex
ecution-remains-industrial-ais-hardest-problem/
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Industrial AI Execution Gap: Why 95% of Pilots Fail
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Why do 95% of industrial AI pilots fail? The math is fine. The problem is the Execution Gap.
Plants are drowning in sensors, yet decision-making remains stuck in reactive chaos. A new research initiative by MIT SMR India and Infinite Uptime is tackling this head-on. Visibility is -
AI Bridges R&D and Shop Floor Manufacturing Automation
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True digitalization connects R&D specifications and electrical configurations directly to the shop floor. #Sponsored by Siemens.
— Lucian Fogoros (@fogoros) 25 mars 2026
When a robot drops a pill bottle, the AI doesn't just see a fault; it accesses engineering specs and industry best practices to provide a precise… pic.twitter.com/w3UHwQpgeWTrue digitalization connects R&D specifications and electrical configurations directly to the shop floor. #Sponsored by Siemens. When a robot drops a pill bottle, the AI doesn't just see a fault; it accesses engineering specs and industry best practices to provide a precise
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Industrial AI at Scale: Managing Multi-Plant Data Infrastructure
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Industrial AI at scale means moving data from the plant floor to the cloud without losing context or timeliness.
— Lucian Fogoros (@fogoros) 24 mars 2026
Managing that data across multiple plants, production lines, and datasets simultaneously is the infrastructure challenge that enterprise data platforms are built to… pic.twitter.com/NF7bs128k1Industrial AI at scale means moving data from the plant floor to the cloud without losing context or timeliness. Managing that data across multiple plants, production lines, and datasets simultaneously is the infrastructure challenge that enterprise data platforms are built to
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MQTT Replaces Polling in Industrial IoT Networks
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Poll-response protocols were designed for multi-drop phone lines decades ago. Factories still run them over TCP/IP networks. MQTT replaces polling with report-by-exception. Your systems only talk when they have something to say. @CirrusLink @iiot_world pic.twitter.com/jVhd1wY00H
— Lucian Fogoros (@fogoros) 24 mars 2026Poll-response protocols were designed for multi-drop phone lines decades ago. Factories still run them over TCP/IP networks. MQTT replaces polling with report-by-exception. Your systems only talk when they have something to say. @CirrusLink @iiot_world
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Edge AI Inference Without Cloud Security Vulnerabilities
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How do you run AI inference at the edge without opening a security hole back to the cloud? #PaidPartnership with TDK SensEI
— Lucian Fogoros (@fogoros) 23 mars 2026
Bob Roth explains TDK SensEI's architecture: no inbound cloud-to-facility connections. Ever. #tdk_iiot pic.twitter.com/h60RrnfrWHHow do you run AI inference at the edge without opening a security hole back to the cloud? #PaidPartnership with TDK SensEI Bob Roth explains TDK SensEI's architecture: no inbound cloud-to-facility connections. Ever. #tdk_iiot
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InfluxDB 3 Handles High-Cardinality Data at Scale
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High-cardinality data is where traditional databases typically fail when tracking down to the individual cell. #Sponsored by InfluxData. #InfluxDB 3 is engineered to handle these complex, multi-layered relationships at scale, providing the granular visibility required for… pic.twitter.com/Ze0rrSbUtz
— Lucian Fogoros (@fogoros) 23 mars 2026High-cardinality data is where traditional databases typically fail when tracking down to the individual cell. #Sponsored by InfluxData. #InfluxDB 3 is engineered to handle these complex, multi-layered relationships at scale, providing the granular visibility required for
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Factory Automation Shifts from Electricians to Developers
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Automation used to be the job of the electrician. #sponsored by Siemens.
— Lucian Fogoros (@fogoros) 23 mars 2026
Now, it’s the playground of the developer.
For years, programming a factory meant drawing "ladder logic", basically a digital wiring diagram. You had to predict every single move upfront.
But we’re moving… pic.twitter.com/gKDWyUbr5XAutomation used to be the job of the electrician. #sponsored by Siemens.
Now, it’s the playground of the developer. For years, programming a factory meant drawing "ladder logic", basically a digital wiring diagram. You had to predict every single move upfront. But we’re moving