Context-trained decision-making for robots is a very different architecture than a general-purpose model. The clear context framing matters: it means the deployment is scoped, not open-ended.
@fogoros
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TCS’s Besprosvan: AI supports factory workers, not replaces, via hazard reduction ROI
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Sol Besprosvan from TCS framed it as AI supporting professionals on factory floors, not replacing them. The use case anchor is hazard reduction, which is where the ROI conversation is easiest to win internally.
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AI in manufacturing needs cybersecurity extending into data pipelines
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The signal here is that as AI moves deeper into manufacturing operations, the cybersecurity perimeter has to extend backward into data pipelines, not just around the model or the network.
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Determine Your AI’s Adaptive Governance Style
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Which of the four adaptive governance styles does your current AI program actually operate in?
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Agentic AI maturity moves from centralized to federated control
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Organizations do not pick one style permanently. They move through them as agentic AI maturity increases, starting with centralized control for initial deployments and gradually federating as processes stabilize.
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AI output without source requires manual review
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If AI output does not show where the answer came from, reviewers have to check the work manually, slowing the process.
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Human review needs sufficient information for AI judgments
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Human review only works when the person has enough information to make a good judgment about AI recommendations.
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Bayer integrates HighByte AI with PI system for automated GXP reports
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Bayer connected HighByte AI to a PI system running for 15 years in their GXP-certified pharma environment. Production reports that required entering clean rooms now come through AI agents on demand. Partner content with @HighbyteInc. #highbyte_iiot #bayer_ai pic.twitter.com/AGVY2dPWFc
— Lucian Fogoros (@fogoros) 23 juin 2026Bayer connected HighByte AI to a PI system running for 15 years in their GXP-certified pharma environment. Production reports that required entering clean rooms now come through AI agents on demand. Partner content with @HighbyteInc
. #highbyte_iiot #bayer_ai -
Pre-detonation file analysis for OT-connected AI pipelines
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Analyzing files before detonation means evaluating risk without executing the file in a live environment. That matters when the file is destined for an AI training pipeline connected to OT systems.
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AI-assisted file analysis improves speed but requires policies and validation
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The key distinction from the session: AI-assisted file analysis improves speed and coverage but does not replace the need for defined policies, clear data ownership, and repeatable validation processes.