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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Build a Multi-Tool AI Agent with Hugging Face: A Comprehensive Guide for Developers
Building a Versatile Multi-Tool AI Agent Using Lightweight Hugging Face Models Introduction In today’s fast-paced digital landscape, the ability to create versatile AI agents is becoming increasingly important. This tutorial focuses on building a compact yet…
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Mistral AI Team Releases The Mistral-7B-Instruct-v0.3: An Instruct Fine-Tuned Version of the Mistral-7B-v0.3
The practical value of AI language models The field of AI involves creating systems that can perform tasks requiring human-like intelligence, such as language translation, speech recognition, and decision-making. Researchers are dedicated to developing advanced models…
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The creative future of generative AI
Artificial intelligence has strong potential to impact diverse fields. The MIT panel explored the implications of generative AI for art and design. The discussion focused on AI’s role in fostering ambiguity, creating tangible experiences, and managing…
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Meet BOSS: A Reinforcement Learning (RL) Framework that Trains Agents to Solve New Tasks in New Environments with LLM Guidance
BOSS (Bootstrapping your own SkillS) is an innovative framework that leverages large language models to autonomously acquire and apply diverse skills for complex tasks. It outperforms conventional methods in executing unfamiliar tasks within new environments. BOSS…
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EvolutionaryScale Releases ESM Cambrian: A New Family of Protein Language Models which Focuses on Creating Representations of the Underlying Biology of Protein
Understanding Protein Research Challenges Protein research is complex due to the long sequences that define their biological roles. Analyzing these sequences is often slow and costly, creating obstacles in developing new therapies and addressing health and…
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Mechanistic Unlearning: A New AI Method that Uses Mechanistic Interpretability to Localize and Edit Specific Model Components Associated with Factual Recall Mechanisms
Understanding Mechanistic Unlearning in AI Challenges with Large Language Models (LLMs) Large language models can sometimes learn unwanted information, making it crucial to adjust or remove this knowledge to maintain accuracy and control. However, editing or…
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Generating opportunities with generative AI
CQuotient, a software startup founded by Rama Ramakrishnan, offers personalized recommendations for retailers by diligently noting down customer interactions. The software has been adopted by Salesforce. Ramakrishnan, now a professor at MIT Sloan, teaches students how…
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Retrieval-Augmented Generation (RAG): From Theory to LangChain Implementation
The article discusses Retrieval-Augmented Generation (RAG), which is a concept that provides additional information from an external knowledge source to large language models (LLMs). The article explains the problem of factual inaccuracies that can occur when…
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This AI Paper from CMU Introduces AgentKit: A Machine Learning Framework for Building AI Agents Using Natural Language
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Research pitches GPT-4 against the chartered financial analyst (CFA) exam
Researchers from JPMorgan Chase & Co. conducted an experiment using OpenAI’s GPT-4 model to determine if it could pass the CFA exam. They found that ChatGPT would likely not be able to pass the CFA Levels…
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Meet Thunder: An Open-Sourced Compiler for PyTorch
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ByteDance Launches Trae Agent: Revolutionizing Software Engineering with LLMs
Understanding Trae Agent Trae Agent is an innovative software engineering tool developed by ByteDance, designed to assist developers in navigating the complexities of programming tasks. By leveraging large language models (LLMs), it acts as a virtual…
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Advancing MLLM Alignment Through MM-RLHF: A Large-Scale Human Preference Dataset for Multimodal Tasks
Understanding Multimodal Large Language Models (MLLMs) Multimodal Large Language Models (MLLMs) are gaining attention for their ability to integrate vision, language, and audio in complex tasks. However, they need better alignment beyond basic training methods. Current…
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The Art of Memory Mosaics: Unraveling AI’s Compositional Prowess
Practical AI Solutions for Your Business Unraveling AI’s Compositional Prowess with Memory Mosaics Learn how Memory Mosaics offer a transparent and interpretable approach to compositional learning systems, shedding light on the intricate process of knowledge fragmentation…
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Microsoft AI Releases Phi-3 Family of Models: A 3.8B Parameter Language Model Trained on 3.3T Tokens Locally on Your Phone
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Claude Memory: A Chrome Extension that Enhances Your Interaction with Claude by Providing Memory Functionality
AI Memory Enhancement for Better Interactions Challenges in AI Memory Systems AI language models face challenges in maintaining long-term memory for interactions, leading to repetitive responses and reduced context awareness. Proposed Solution – Claude Memory Claude…