Vladimir Dyachkov, Ph.D
Editor-in-Chief of itinai.com
AI Product Leader
- Digital Transformation Expert
- Ph.D. in Economics
My expertise lies in transforming complex data into actionable insight, leading cross-functional teams, and ensuring every piece of content on Itinai.com meets the highest standards of quality, accuracy, and real-world applicability.
I believe that AI is only as powerful as the human insight guiding it.
At Itinai.com, I lead our editorial strategy to reflect principles:
As Chief Editor at Itinai.com — a platform at the intersection of artificial intelligence, digital healthcare, and global innovation. With over 15 years of experience in AI product development, agile transformation, and digital strategy, I bring a research-backed, user-centric approach to content leadership.
- Trustworthiness: Every article is fact-checked, and openly sourced
- Experience: Backed by 15+ years in AI, healthcare, and fintech across 10+ countries
- Expertise: Ph.D. in Economics with AI focus, hands-on ML product deployment
- Authoritativeness: Published across high-traffic platforms; built products used by millions
📘 Experience
🌍 Global AI Leadership
- Chief Product Officer, Digital Medical Products (2016–Present)
Led seven AI-driven product launches, including a WHO-based diagnostic tool structured around ICD-10. - Chief Transformation Officer, Lykke (2019–2020)
Oversaw international team restructuring, boosting agility and strategic alignment. - Senior Product Owner, goTRG (2018–2019)
Reduced time-to-market by 50% through agile adoption across eight teams, saving $120K/month in DevOps. - Product Leader, Alfa-Bank (2017–2018)
Managed the top-rated Alfa Mobile banking app, integrated Apple/Google/Samsung Pay services. - CPO, Price.ru (2014–2016)
Implemented AI-powered cataloging for over 30M products, doubling lead-based revenue. - Product Manager, RIA Novosti (2011–2014)
Oversaw content in 18 languages, serving 180M+ users monthly.
💡 Expertise & Focus
- AI/ML & Data Science: Computer vision, NLP, and predictive modeling
- Digital Product Strategy: From idea to launch across global markets
- Agile & Scalable Architecture: Cloud-native, API-first ecosystems (AWS, Azure, GCP)
- User-Centric Design: Figma prototyping, UX/UI, and personalization
- Content Trustworthiness: Ensuring medical, financial, and AI content is sourced, cited, and verified
🎓 Education
- Ph.D. in Economics, TSU – Research focus: Informational Influence in Economic Systems
- Master’s Degree, TSU – Financial Management & Information Systems
Your Success is Our Guarantee
✅ 15+ Years of Experience in AI and Digital Products
We’ve worked with businesses of all sizes—from startups to enterprises—delivering real value through intelligent, scalable solutions.
🛠 Proven Methodologies
We use only time-tested approaches that are focused on results, not buzzwords. Every tool, model, or process we implement is grounded in evidence and industry best practices.
📊 Measurable Outcomes
We define clear goals, track performance, and stay accountable for delivering success. If it can’t be measured, it can’t be improved.
🚀 Free AI Jumpstart
Discover where your business can reduce costs and grow—risk-free. Our AI audit reveals hidden opportunities with no upfront commitment.
🔍 Transparency at Every Step
From the first meeting to final delivery, you’ll understand the roadmap, the stages, and how each action contributes to your business goals.
📬 Contacts
Join the community of AI experts with Vladimir
- 🔗 LinkedIn https://www.linkedin.com/in/uxproduct
- 🔗 X: x.com/vlruso
- 📧 info@itinai.com
- 📱 Telegram: @itinai
Editor-in-Chief itinai.com Picks
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Alibaba Qwen Launches Qwen3-4B Models: Revolutionizing Small Language Models for AI Applications
Introduction to Alibaba’s Qwen Models Alibaba’s Qwen team has made waves in the AI landscape with the launch of two innovative small language models: Qwen3-4B-Instruct-2507 and Qwen3-4B-Thinking-2507. Despite their relatively compact size, with 4 billion parameters…
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This AI Paper from Google DeepMind Explores Inference Scaling in Long-Context RAG
Understanding Long-Context Large Language Models (LLMs) Long-context LLMs are built to process large amounts of information effectively. With improved computing power, these models can handle various tasks, especially those requiring detailed knowledge through Retrieval Augmented Generation…
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New US AI hardware export bans to come into effect immediately
Nvidia has been instructed by the US government to halt its sales of AI computer chips to China. The ban, which was expected in November, will take immediate effect. Nvidia, however, claims that it does not…
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AG-UI Update: Enhance AI Agent-User Interaction with New Protocol Features
AI agents are evolving from backend automators to interactive, collaborative components in modern applications. The challenge lies in creating agents that not only respond to users but also guide workflows proactively. Developers often face difficulties in…
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IBM’s Alignment Studio to Optimize AI Compliance for Contextual Regulations
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DanceGRPO: Advancing Reinforcement Learning for Visual Generation Across Paradigms
Transforming Business with AI: DanceGRPO Framework Transforming Business with AI: DanceGRPO Framework Introduction to DanceGRPO Recent developments in generative models have revolutionized visual content creation. The DanceGRPO framework combines these advancements with human feedback to enhance…
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DAI#8 – AI gets inside your head and resurrects Johnny Cash
This edition of the AI News Roundup focuses on various topics related to artificial intelligence. It highlights advancements in brain-machine interfaces, such as visualizing thoughts and decoding speech from brain recordings. The roundup also covers the…
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Boost productivity on Amazon SageMaker Studio: Introducing JupyterLab Spaces and generative AI tools
Amazon SageMaker Studio offers fully managed integrated development environments (IDEs) like JupyterLab, Code Editor, and RStudio for machine learning development. The introduction of JupyterLab Spaces allows flexible customization of compute, storage, and runtime resources to improve…
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Pegasystems vs Salesforce AI: CRM AI That Grows Product Revenue
Technical Relevance In today’s fast-paced business environment, integrating artificial intelligence (AI) into Customer Relationship Management (CRM) and Business Process Management (BPM) tools is no longer a luxury but a necessity. Pegasystems has recognized this trend and…
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Advanced Human Pose Estimation with MediaPipe and OpenCV Tutorial
Business Solutions: Advanced Human Pose Estimation Advanced Human Pose Estimation: Practical Business Solutions Introduction to Human Pose Estimation Human pose estimation is an innovative technology in computer vision that converts visual information into practical insights regarding…
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What Algorithms can Transformers Learn? A Study in Length Generalization
The paper explores Transformers’ capabilities in length generalization on algorithmic tasks and proposes a framework to predict their performance in this area. Accepted at NeurIPS 2023’s MATH workshop, it addresses the paradox of language models’ emergent…
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Enhancing Language Models with Retrieval-Augmented Generation: A Comprehensive Guide
** Retrieval Augmented Generation (RAG) in AI ** ** Practical Solutions and Value: ** Retrieval Augmented Generation (RAG) enhances Large Language Models (LLMs) by referencing external knowledge sources, improving accuracy and relevance of AI-generated text. By…
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Researchers from San Jose State University Propose TempRALM: A Temporally-Aware Retriever Augmented Language Model (Ralm) with Few-shot Learning Extensions
The web is a vast source of knowledge constantly changing, posing challenges for accurate information retrieval. Language models like chatGPT add complexity, leading to research on Retrieval Augmented Language Models (RALMs). San Jose State University proposed…
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Transformative Applications of Deep Learning in Regulatory Genomics and Biological Imaging
Transformative Applications of Deep Learning in Regulatory Genomics and Biological Imaging Practical Solutions and Value Recent technological advancements in genomics and imaging have led to a vast increase in molecular and cellular profiling data. Modern machine…
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Optimize LLM Inference with BentoML’s Open-Source llm-optimizer Tool
BentoML has launched an exciting new tool called llm-optimizer, an open-source framework aimed at optimizing the performance of self-hosted large language models (LLMs). This innovative tool tackles one of the significant challenges in the deployment of…
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Apple Researchers Propose Large Language Model Reinforcement Learning Policy (LLaRP): An AI Approach Using Which LLMs Can Be Tailored To Act As Generalizable Policies For Embodied Visual Tasks
Large Language Models (LLMs) like GPT-3 have revolutionized Natural Language Processing. They demonstrate exceptional language recognition and excel in various areas such as reasoning, visual comprehension, and code development. LLMs possess broad understanding and can handle…