Tetiana Polozhentseva

Tetiana Polozhentseva

Head of Staff Augmentation Services

    Tetiana Polozhentseva is Head of Staff Augmentation Services at Devox Software, where she focuses on scaling delivery capacity and building durable enterprise partnerships. She combines strategic positioning with hands-on operational leadership, helping organizations bring technical talent in at the right moment. Her articles explore how companies can scale responsibly, structure teams effectively, and build long-term partnerships that support sustainable growth.

    You can find Tetiana Polozhentseva in social media:

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    Latest Articles From Tetiana Polozhentseva

    From SCADA to Smart Factory: How to Integrate Legacy OT with Modern IT Systems

    From SCADA to Smart Factory: How to Integrate Legacy OT with Modern IT Systems

    The paper outlines how U.S. manufacturers can bridge legacy SCADA and OT with modern IT to improve efficiency, reduce risk, and enable AI-driven decisions without disrupting production

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    How to Modernize Your MRP System: A Step-by-Step Guide for Mid-Sized Manufacturers

    How to Modernize Your MRP System: A Step-by-Step Guide for Mid-Sized Manufacturers

    The article presents a practical roadmap for modernizing an MRP system by evaluating current performance, closing gaps, and implementing improvements that strengthen long-term adaptability.

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    AI and IoT for Legacy Systems: Challenges and Best Practices

    AI and IoT for Legacy Systems: Challenges and Best Practices

    This content map for teams modernizing legacy applications and legacy equipment will cover what “legacy” really means, how to integrate IoT into legacy systems, and where IoT and AI deliver the fastest returns.

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    Top 7 AI Use Cases in MES Modernization for 2026

    Top 7 AI Use Cases in MES Modernization for 2026

    By embedding AI into MES workflows, manufacturers predict failures before downtime happens, catch quality issues in-line, optimize schedules under disruption, and reduce compliance overhead through audit-ready automation.

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    How to Use AI for Predictive Maintenance in Industrial Systems

    How to Use AI for Predictive Maintenance in Industrial Systems

    Learn how AI for predictive maintenance boosts industrial systems and their ROI on statistics, unveiling how it works and anticipating maintenance expenses.

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    AI for Business Process Automation: Where to Start?

    AI for Business Process Automation: Where to Start?

    A practical starting point for AI in business process automation — identify the biggest P&L leak, run a focused six-week AI test, and replace manual work with adaptive systems that start delivering ROI right away.

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