Oleksandr Khimiak
Manufacturing operations & industrial data advisor
Malmö, Sweden
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Oleksandr Khimiak is a practitioner and advisor in manufacturing operations and industrial data.
He works hands-on with factories and equipment manufacturers to help them move from basic monitoring to actionable operational intelligence.
He is the founder of Factory Cortex — a pragmatic framework that combines machine signals, simple analytics, and human knowledge to expose hidden losses such as micro-stops and throughput instability, and to build intelligence iteratively rather than through large, high-risk transformations.
Founder, The Advisource AB.
Area of Expertise
Topics
Navigating the AI Gold Rush
1. Governance is the deal-breaker
Models may ship in days; proving they’re safe, auditable and lawful still takes months. Every hand in the room went up when “governance gaps” flashed on the screen.
2. Customer service is AI’s first payday
Leaders see faster resolutions as the board-friendly wins that release budget for bolder bets.
3. Strategies feel limited
Our live word-cloud howled limited, none, experimental.
Ambition is sky-high, yet the step-by-step playbook
Literacy → Governance→ Innovation remains scarce.
CIO Watercooler event
AI Governance models for Manufacturers
AI adoption in manufacturing is accelerating — but most failures are not caused by algorithms.
They are caused by weak data foundations, unclear ownership, and missing governance at the shopfloor level.
This session explores practical AI governance models tailored for manufacturing environments, where legacy equipment, operator-driven processes, and safety-critical systems dominate.
Instead of abstract ethics or compliance checklists, the talk focuses on operational governance:
how data is generated, validated, interpreted, and acted upon across production, maintenance, and engineering teams.
Participants will learn how to establish governance that enables AI to deliver value in areas such as quality, availability, and throughput — without relying on autonomy or black-box decision-making.
Audience: Plant, production & maintenance leaders; industrial IT/OT
Duration: 30–45 min
Focus: Data quality, sensor calibration, signal drift, ownership, operator–engineer feedback loops
Approach: Practical cases, no AI hype, no data science required
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