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AI Manufacturing Needs Unified Data Backbone, Says HighByte CTO

By PulseAugur Editorial · [1 sources] ·

HighByte CTO Aron Semle discusses the systemic issue of data silos in AI-driven manufacturing. He argues that while operational data is plentiful, its fragmentation across systems like PLCs, ERP, and MES prevents effective use by humans and AI models. Semle advocates for a context-driven architectural foundation that unifies data around equipment and processes, enabling real-time access and reducing reliance on custom integrations for a more cohesive view of operations. AI

IMPACT Highlights the need for unified data infrastructure to enable effective AI adoption in manufacturing.

RANK_REASON Opinion piece by a company executive discussing industry challenges and solutions.

Read on Forbes — Innovation →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

AI Manufacturing Needs Unified Data Backbone, Says HighByte CTO

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8 / 100
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Commentary
Opinion piece by a company executive discussing industry challenges and solutions.
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infra, product
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High
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Breaking (< 6h)
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COVERAGE [1]

  1. Forbes — Innovation TIER_1 English(EN) · Aron Semle, Forbes Councils Member ·

    Creating A Digital Backbone For AI-Driven Manufacturing

    Today’s industrial environments might look connected, but from an IT perspective, they are very much not.

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