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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
How a Fortune 500 manufacturer reduced time-to-market for industrial tools using a data observability framework
Data and ML 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...

Data and ML platforms

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    How a Fortune 500 manufacturer reduced time-to-market for industrial tools using a data observability framework

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