Vladimir Liashenko

Vladimir Liashenko is the Technical PMM at CloudFactory. He is an AI enthusiast passionate about EdTech and advanced Computer Vision solutions. He wants to help the ML community increase its awareness through up-to-date, comprehensive information and the case-studies learning approach.
How Gaussian Noise Makes Medical AI Smarter

How Gaussian Noise Makes Medical AI Smarter

Discover how adding Gaussian noise to medical imaging trains AI to overcome imperfection, enhancing diagnostic accuracy and reliability in healthcare.

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MLOps for Low-Latency Applications: A Practical Guide

MLOps for Low-Latency Applications: A Practical Guide

Discover how to achieve sub-100ms ML predictions by optimizing infrastructure, data pipelines, and robust monitoring in this low-latency MLOps guide.

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Three waves of Machine Learning: Model-centric, data-centric, and inference-centric

Three waves of Machine Learning: Model-centric, data-centric, and inference-centric

Trace the evolution of ML through model-centric, data-centric, and inference-centric approaches and find out which approach best streamlines AI development.

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It’s time to elevate your GenAI capabilities

It’s time to elevate your GenAI capabilities

Build GenAI solutions faster with advanced tech and expert services for tuning, embeddings, prompt engineering, RLHF, and private model development.

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Take AI data quality to the next level with the right AI data services

Take AI data quality to the next level with the right AI data services

Struggling with AI model accuracy? CloudFactory's AI Data Platform and expert services deliver high-quality, structured datasets to speed up AI development.

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Model playground: Experimenting with models for optimal performance

Model playground: Experimenting with models for optimal performance

Our AI Data Platform's model playground capability enables technical teams to iterate and refine models for rapid trial and real-world application.

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Why you need quality data labeling in infrastructure crack detection

Why you need quality data labeling in infrastructure crack detection

Discover the impact of quality data labeling in infrastructure asset management. Learn ML model accuracy, performance, and scalability strategies in asset inspection and crack ...

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AI-powered labeling: The key to better agtech machine learning models

AI-powered labeling: The key to better agtech machine learning models

Discover the impact of quality data labeling in agtech. Learn ML model accuracy, performance, and scalability strategies in precision farming.

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Five modern segmentation challenges tech gurus face in machine learning

Five modern segmentation challenges tech gurus face in machine learning

Explore the key machine learning segmentation challenges and how to overcome them for more accurate model performance.

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