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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Researchers Shanghai AI Lab and SenseTime Propose MM-Grounding-DINO: An Open and Comprehensive Pipeline for Unified Object Grounding and Detection
A new model, MM-Grounding-DINO, is proposed by Shanghai AI Lab and SenseTime Research for unified object grounding and detection tasks. This user-friendly and open-source pipeline outperforms existing models in various domains, achieving state-of-the-art performance and setting…
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Understanding Group Sequential Testing
Summary: The text provides an in-depth exploration of group sequential testing in the context of A/B testing and experimentation. It discusses the challenges of peeking and early stopping and presents various correction methods such as Bonferroni…
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This AI Paper from NVIDIA and UC San Diego Unveils a New Breakthrough in 3D GANs: Scaling Neural Volume Rendering for Finer Geometry and View-Consistent Images
Researchers at NVIDIA and University of California, San Diego, have developed an innovative method for high-fidelity 3D geometry rendering in Generative Adversarial Networks (GANs). Based on SDF-based NeRF parametrization, the approach utilizes learning-based samplers to accelerate…
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Build vs Buy for Enterprise AI in 2025: A Decision Framework for U.S. VPs of AI
As organizations increasingly turn to artificial intelligence (AI) to enhance their operations, VPs of AI Product in U.S. enterprises face a crucial decision: whether to build AI solutions in-house, buy them from vendors, or blend both…
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Google AI Unveils VaultGemma: Advanced 1B-Parameter Model with Differential Privacy for Safe AI Applications
The Importance of Differential Privacy in Large Language Models As artificial intelligence continues to evolve, the need for privacy in data handling has become paramount. Large language models (LLMs) like VaultGemma are trained on vast datasets,…
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Big Loss for AI Companies in the Stock Market
On February 1, 2024, AI-related companies suffered a significant setback, collectively losing $190 billion in market value after disappointing quarterly results from major players such as Microsoft, Alphabet, and AMD. The drop in stock prices was…
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Pleias Introduces Common Corpus: The Largest Multilingual Dataset for Pretraining Language Models
Advancements in AI Language Models Recently, large language models have greatly improved how machines understand and generate human language. These models require vast amounts of data, but finding quality multilingual datasets is challenging. This scarcity limits…
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This AI Paper Introduces PolyID: Pioneering Machine Learning in the Discovery of High-Performance Biobased Polymers
Artificial intelligence has proven to be a valuable tool in the field of chemistry and polymer science. By predicting chemical reactions and suggesting optimal combinations, AI helps scientists discover new materials and accelerate the development process.…
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Google Quantum AI Introduces Willow: A New State-of-the-Art Quantum Computing Chip with a Breakthrough that can Reduce Errors Exponentially
Understanding Quantum Computing and Its Challenges Quantum computing promises to enhance our computational abilities beyond traditional systems. However, it struggles with high error rates. Quantum bits, or qubits, are delicate, and even small disturbances can cause…
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Optimizing Memory for Large-Scale NLP Models: A Look at MINI-SEQUENCE TRANSFORMER
The Evolution of Transformer Models in NLP Addressing Memory Challenges in Training Large-Scale Models The evolution of Transformer models has significantly improved natural language processing (NLP) performance. However, it has also introduced memory challenges during training.…
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ether0: Revolutionizing Chemical Reasoning with Advanced Reinforcement Learning
Understanding the Target Audience The primary audience for ether0 encompasses AI researchers, data scientists, and business leaders in the chemical and pharmaceutical fields. This group generally possesses a solid understanding of machine learning, especially its applications…
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Top 20 Code Review Tools for Software Developers
Practical Solutions and Value of Top 20 Code Review Tools for Software Developers Introduction In the fast-paced world of software development, maintaining high code quality is crucial for success. Code reviews play a vital role in…
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This AI Paper Introduces InstructVideo: A Novel AI Approach to Enhance Text-to-Video Diffusion Models Using Human Feedback and Efficient Fine-Tuning Techniques
The InstructVideo method, developed by a team of researchers, enhances the visual quality of generated videos without compromising generalization capabilities. It incorporates efficient fine-tuning techniques using human feedback and image reward models. Segmental Video Reward and…
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Microsoft Launches AI Key for Windows 11
Microsoft recently added a new AI key to their keyboards for Windows 11 PCs. The key enables the use of Copilot, an AI tool for tasks like searching, email writing, and image creation. This move reflects…
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OnePlus Launches AI Music Studio
OnePlus has released its AI Music Studio, a revolutionary platform that allows users to easily compose music regardless of their musical background. This creative space integrates advanced AI technology, enabling users to craft lyrics, mix them…
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China aims to mass-produce humanoid robots by 2025
China’s Ministry of Industry and Information Technology (MIIT) has released guidelines for the development of an industry ecosystem to mass-produce humanoid robots. The document predicts that humanoid robots will be as disruptive as computers, smartphones, and…