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Slava Kulagin Integrio Systems
Slava Kulagin Integrio Systems

Slava Kulagin

Data Scientist, ML Researcher

Location

Germany

Slava is our most experienced engineer in the field of artificial intelligence. He began working with AI more than 28 years ago, and back then nobody was quite sure whether he was building a spacecraft, a supercomputer, or just joking.

Throughout his career, Slava has succeeded both in commercial projects and in academia, earning a PhD in mathematics and contributing to multiple research initiatives.

We are glad to have Slava as part of our team of AI specialists who write for the Integrio blog on deeply technical topics and make complex ideas feel simple by drawing on his years of experience, even for readers who are new to the field.

List of author's articles

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Cloud Migration for Canadian Manufacturers: How to Move Legacy Systems Without Disrupting Production

#CanadaManufacturing & LogisticsLegacy SoftwareAI & ML

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2026-03-21

Cloud Migration for Canadian Manufacturers: How to Move Legacy Systems Without Disrupting Production

Machine Learning in Production: How to Monitor, Maintain, and Improve ML Models

#AI & ML

n,.

2026-03-20

Machine Learning in Production: How to Monitor, Maintain, and Improve ML Models

AI in Canadian Banking: Practical Applications for Improving Customer Service, Risk Management, and Security

#CanadaAI & MLFintech and Banking

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2026-03-17

AI in Canadian Banking: Practical Applications for Improving Customer Service, Risk Management, and Security

Digital Transformation Strategy for Canadian Manufacturers

#CanadaManufacturing & Logistics

n,.

2026-03-12

Digital Transformation Strategy for Canadian Manufacturers

Modernizing Canadian Financial Institutions with AI: Practical Integration Strategies for Legacy Systems

#CanadaAI & MLFintech and BankingLegacy Software

n,.

2026-03-11

Modernizing Canadian Financial Institutions with AI: Practical Integration Strategies for Legacy Systems

Agentic AI Development Companies in Canada: A Practical Overview

#AI & MLCanada

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2026-02-21

Agentic AI Development Companies in Canada: A Practical Overview

AI in Architecture: Current and Future Uses, Untapped Potential

#AI & ML

n,.

2026-02-11

AI in Architecture: Current and Future Uses, Untapped Potential

Computer Vision Engineer — In-House vs. Outsourced

#AI & MLHiring and StaffingIT Outsourcing

n,.

2026-02-06

Computer Vision Engineer — In-House vs. Outsourced

Understanding the Role of AI in Drug Development: Use Cases, Benefits and Prospects

#AI & ML

n,.

2026-01-28

Understanding the Role of AI in Drug Development: Use Cases, Benefits and Prospects

Computer Vision in Retail

#AI & ML

n,.

2026-01-25

Computer Vision in Retail

AI in Satellite Imagery: Impact Across Industries, Benefits, and Challenges

#AI & ML

n,.

2026-01-24

AI in Satellite Imagery: Impact Across Industries, Benefits, and Challenges

How AI is Changing the Landscape of Canadian Agriculture

#CanadaAI & ML

n,.

2026-01-16

How AI is Changing the Landscape of Canadian Agriculture

AI in Urban Planning: How It’s Used and Why It Matters

#AI & ML

n,.

2026-01-14

AI in Urban Planning: How It’s Used and Why It Matters

Agentic AI vs Generative AI: A Practical Guide for Businesses

#AI & ML

n,.

2026-01-10

Agentic AI vs Generative AI: A Practical Guide for Businesses

When a Recommender System Starts Revealing Its Shape: Exploring Latent Space Through User Clusters and Behavioral Chains of Items

#AI & MLMarketing and Tools

n,.

2025-12-13

When a Recommender System Starts Revealing Its Shape: Exploring Latent Space Through User Clusters and Behavioral Chains of Items

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