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Ditching Hourly

Coaching Call with Data Engineer Denis Gontcharov

Aug 16, 2023
Data Engineer Denis Gontcharov discusses his journey from aluminum smelting to data engineering. They also explore targeting medium-sized aluminum manufacturers, the division of IT and OT in the industry, the relationship between Industry 4.0 and AI, and using products/services for consulting gigs.
01:22:45

Podcast summary created with Snipd AI

Quick takeaways

  • A strong data infrastructure is crucial for manufacturers to address challenges like downtime, production delays, and quality control.
  • Many manufacturers lack the necessary data infrastructure to effectively monitor their operations, resulting in increased downtime and production delays.

Deep dives

Improving Data Infrastructure for Manufacturing Operations

To address the challenges of downtime, production delays, and quality control in the manufacturing industry, a proper data infrastructure is crucial. This involves creating a unified access point that combines time series data and relational data in one central location. By establishing a strong data pipeline, manufacturers can monitor key metrics in real-time and identify potential issues before they cause significant disruptions. The data infrastructure enables the seamless collection, validation, and synthesis of data, leading to actionable insights and improved operational efficiency. This process empowers process engineers and department managers to make informed decisions based on accurate and up-to-date information, resulting in reduced downtime, smoother production workflows, and enhanced quality control.

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