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Ilya Katsov on industrial IoT

From What is an IoT Analytics Platform? | #AskIoT | Grid Dynamic's Ilya Katsov · · IoT For All

“In the industrial space, automated quality control use cases are very important and widely used because they directly impact costs related to quality control, defect recovery, and failures. These include anomaly detection in numerical metrics and quality control at different levels, which are popular not only among manufacturers but also companies involved in physical operations.”

Ilya Katsov
Chief Technology Officer of Americas, GRID DYNAMICS HOLDGS INC
Policy Impact industrial IoTautomated quality controlanomaly detectioncost reduction

On , Ilya Katsov, Chief Technology Officer of Americas at GRID DYNAMICS HOLDGS INC, spoke about industrial IoT during What is an IoT Analytics Platform? | #AskIoT | Grid Dynamic's Ilya Katsov on IoT For All.

What is an IoT Analytics Platform? | #AskIoT | Grid Dynamic's Ilya Katsov
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What is an IoT Analytics Platform? | #AskIoT | Grid Dynamic's Ilya Katsov
IoT For All
Watch on YouTube
As Industry 4.0 accelerates due to increasing interconnectivity and smart automation, analytics platforms are needed to process ...
Ilya Katsov

About Ilya Katsov

Chief Technology Officer of Americas · GRID DYNAMICS HOLDGS INC

In a September 2023 episode of the Ask IoT video series, Ilya Katsov, then VP of Technology at Grid Dynamics, discussed the design and management of IoT analytics platforms for industrial applications. He described an IoT analytics platform as an extended version of a general-purpose analytics platform that must also handle specialized data collection from sensors, edge deployment, and services for predictive maintenance. Katsov noted that industrial IoT introduces challenges such as connecting to multiple facilities operated by different third parties across countries, requiring significant design decisions for global integrations and security. Katsov advised that for large manufacturers, a use-case-driven approach is preferable to collecting all possible data, as the latter is not feasible at scale. He recommended identifying priority use cases, prototyping, and then building a complete platform to productize solutions. He also emphasized the importance of high data quality and proper understanding of data semantics, particularly in IoT where connectivity issues can invalidate downstream analysis. Katsov mentioned that automated quality control and dynamic process control are growing use cases in the industrial space, and he suggested building solutions using cloud-native services from hyperscalers rather than relying on third-party IoT platforms with limited capabilities.

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