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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Closing the design-to-manufacturing gap for optical devices
Researchers from MIT and the Chinese University of Hong Kong have developed a technique called neural lithography, using real-world data to build a photolithography simulator that can more accurately model the manufacturing process of optical devices.…
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AutoCE: An Intelligent Model Advisor Revolutionizing Cardinality Estimation for Databases through Advanced Deep Metric Learning and Incremental Learning Techniques
Practical Solutions and Value of Cardinality Estimation in Databases Importance of Cardinality Estimation (CE) in Database Tasks CE is crucial for tasks like query planning, cost estimation, and optimization in databases. Accurate CE ensures efficient query…
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Synth2: Boosting Visual-Language Models with Synthetic Captions and Image Embeddings by Researchers from Google DeepMind
Synth2, a proposal by Google DeepMind researchers, enhances Visual-Language Models (VLMs) using synthetic image-text pairs, outperforming baselines with improved efficiency and scalability. The method creates synthetic data addressing resource-intensive challenges, offering customization for specific domains and…
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Solving Reasoning Problems with LLMs in 2023
In 2024, ChatGPT marked its one-year anniversary, highlighting significant advancements in large language models (LLMs) and their applications. The post summarizes key developments, including tool use and reasoning. It emphasizes the emerging concept of LLMs creating…
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Manus vs AgentScope: Is the Future of Autonomous Agents Visual or Graph-Based?
Comparing Manus vs. AgentScope: A Framework for Autonomous Agent Solutions Purpose of Comparison: This comparison aims to evaluate Manus and AgentScope, two emerging platforms for building autonomous agents, to determine their strengths and weaknesses. The central…
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Google AI Launches Gemma 3: Efficient Multimodal Models for On-Device AI
Challenges in Artificial Intelligence Artificial intelligence faces two significant challenges: high computational resource requirements for advanced language models and their unsuitability for everyday devices due to latency and size. Moreover, ensuring safe operation with proper risk…
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Frame-Dependent Agency: Implications for Reinforcement Learning and Intelligence
Understanding Agency in AI What is Agency? Agency is the ability of a system to achieve specific goals. This study highlights that how we assess agency depends on the perspective we use, known as the reference…
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A Universal Roadmap for Prompt Engineering: The Contextual Scaffolds Framework (CSF)
The article explores a framework called “The Contextual Scaffolds Framework” for effective prompt engineering. It discusses the importance of context in language interpretation and proposes two categories of context scaffolds: expectational context scaffold and operational context…
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Neuromorphic computing will be great… if hardware can handle the workload
Scientists have potentially found a method to modify AI hardware by replicating human brain synapses.
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Cohere AI Introduces INCLUDE: A Comprehensive Multilingual Language Understanding Benchmark
The Importance of Multilingual AI Solutions The rapid growth of AI technology emphasizes the need for Large Language Models (LLMs) that can work well in various languages and cultures. Currently, there are significant challenges due to…
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Researchers at Stanford Introduces In-Context Vectors (ICV): A Scalable and Efficient AI Approach for Fine-Tuning Large Language Models
Practical Solutions for Enhancing Large Language Models Introduction Large language models (LLMs) have revolutionized artificial intelligence and natural language processing, with applications in healthcare, education, and social interactions. Challenges and Existing Research Traditional in-context learning (ICL)…
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This AI Paper Introduces a Novel Artificial Intelligence Approach in Precision Text Retrieval Using Retrieval Heads
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Anthropic AI Introduces a New Token Counting API
Precise Control Over Language Models Effective management of language models is essential for developers and data scientists. Large models like Claude from Anthropic provide great opportunities, but handling tokens efficiently is a significant challenge. Anthropic’s Token…
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This AI Paper from UC Berkeley Research Highlights How Task Decomposition Breaks the Safety of Artificial Intelligence (AI) Systems, Leading to Misuse
AI Research on Task Decomposition and Misuse Artificial Intelligence (AI) systems undergo rigorous testing to ensure safe deployment and prevent misuse for dangerous activities like bioterrorism, manipulation, or automated cybercrimes. Powerful AI systems are programmed to…
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NVIDIA Launches OpenMath-Nemotron Models: Advanced AI for Mathematical Reasoning
NVIDIA AI Launches OpenMath-Nemotron Models: Transforming Mathematical Reasoning Introduction NVIDIA has recently unveiled two advanced AI models, OpenMath-Nemotron-32B and OpenMath-Nemotron-14B-Kaggle, which excel in mathematical reasoning. These models have not only secured first place in the AIMO-2…
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Understanding the Multiple Layers of Data Management Enabling Products
The text discusses essential information for product leaders to overcome data-related obstacles. For more details, please refer to the original article on Towards Data Science.