Organizations making real progress started with the foundation: normalized data, semantic context, edge compute, and orchestration to manage it all over time.
@fogoros
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Distributed Energy Fleets Self-Optimize With AI Edge Orchestration
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The future everyone's working toward – distributed energy fleets that self-optimize with minimal human intervention – depends on getting data normalization, semantic context, and edge orchestration right first. Partner content with @IOTechSystems. #iotechsys_iiot pic.twitter.com/vV5TgDHzxJ
— Lucian Fogoros (@fogoros) 18 avril 2026The future everyone's working toward – distributed energy fleets that self-optimize with minimal human intervention – depends on getting data normalization, semantic context, and edge orchestration right first. Partner content with @IOTechSystems
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Industrial IoT Maturity Acceleration: Current Industry Insights
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Industrial IoT maturity is accelerating fast. What are you seeing? @IIoT_World @CRudinschi @agentic_factory @YarmolukDan @Xavier_Porter1 @ThyGat
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Industrial Analytics Projects Fail Due to Data Preparation Challenges
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Industrial analytics projects have a 70% failure rate, often because the data preparation phase takes longer than expected and delivers poor quality datasets.
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Manufacturing AI Needs Operational Context for Meaningful Results
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Most AI models trained on raw manufacturing data produce useless results because they lack operational context about normal vs abnormal conditions.
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Manufacturing AI Needs Contextualized Data for Industrial Analytics
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Manufacturing AI needs contextualized data, not raw sensor streams.
— Lucian Fogoros (@fogoros) 18 avril 2026
DataHub Intelligence solves the context problem that kills most industrial analytics projects.
The missing link between OT data and AI insights. Partner content with @HighbyteInc. #highbyte_iiot pic.twitter.com/Miw3QMC36BManufacturing AI needs contextualized data, not raw sensor streams.
DataHub Intelligence solves the context problem that kills most industrial analytics projects.
The missing link between OT data and AI insights. Partner content with @HighbyteInc
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Sustainability targets drive operational change in industry
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Sustainability targets are driving real operational change. What are you seeing in the industry? @IIoT_World @CRudinschi @agentic_factory @GunterHeinrich @AshokNellikar @AghiathChbib
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AI Optimizes Clinical Trial Design to Find Patients Faster
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AI optimizes clinical trial design to find the right patients faster and reduce failure rates.
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AI Accelerates Drug Development Timelines From Lab to Patients
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Life sciences AI is shortening the time from lab to patients. Partner content with @Siemens.
— Lucian Fogoros (@fogoros) 18 avril 2026
Traditional drug development: 10-15 years, billions in costs.
AI-accelerated development: compressed timelines, optimized trials.
The difference is measured in lives saved. #sie_HM. pic.twitter.com/8ehFGDJjwsLife sciences AI is shortening the time from lab to patients. Partner content with @Siemens
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Traditional drug development: 10-15 years, billions in costs.
AI-accelerated development: compressed timelines, optimized trials.
The difference is measured in lives saved. #sie_HM. -
Factory Data Analytics: From Drowning in Data to Actionable Insights
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Is your factory drowning in data while starving for actionable insights?