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Home Insights All authors Mikhail Dyakonov
Mikhail Dyakonov

Mikhail Dyakonov

Mikhail Dyakonov is a Delivery Manager in Grid Dynamics. He joined the company in 2019, during which time he has been managing multiple projects in the areas of sales prediction, churn analysis, computer vision, natural language processing, data visualization, business intelligence and master data management for the clients in manufacturing and telecom industries.

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How a Fortune 500 manufacturer reduced time-to-market for industrial tools using a data observability framework case study cover
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How a Fortune 500 manufacturer reduced time-to-market for industrial tools using a data observability framework
AI and data platforms
Case Study How a Fortune 500 manufacturer reduced time-to-market for industrial tools using a data observability framework

Without data observability in their production pipeline, this Fortune 500 manufacturer encountered multiple data issues that drastically impacted time-to-market, added significant development overhead, and complicated the product development roadmap. A data observability solution simplified, accele...

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    Industry Recognition

    MACH, Agent Ready 2026 Award

    2026

    MACH Alliance Awards, Best Retail Project

    2024, 2025

    AutoZone, IT Supplier of the Year

    2025, 2026

    Sysco, Technology Partner of the Year

    2026
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