
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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ByteDance Researchers Introduce PaSa: An Advanced Paper Search Agent Powered by Large Language Models
Understanding the Challenges of Academic Paper Search Searching for academic papers is a complex task for researchers. They need advanced search tools that can handle specialized knowledge and detailed queries. Current platforms, like Google Scholar, often…
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People shouldn’t pay such a high price for calling out AI harms
This week, there has been significant focus on AI. The White House introduced an executive order aimed at promoting safe and trustworthy AI systems, while the G7 agreed on a voluntary code of conduct for AI…
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CloudFerro and ESA Φ-lab Launch the First Global Embeddings Dataset for Earth Observations
Introduction to the Global Embeddings Dataset CloudFerro and the European Space Agency (ESA) Φ-lab have launched the first global embeddings dataset for Earth observations. This dataset is a key part of the Major TOM project, designed…
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LocAgent: Revolutionizing Code Localization with Graph-Based AI for Software Maintenance
Enhancing Software Maintenance with AI: The Case of LocAgent Introduction to Software Maintenance Software maintenance is a crucial phase in the software development lifecycle. During this phase, developers revisit existing code to fix bugs, implement new…
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This AI Paper Introduces SRDF: A Self-Refining Data Flywheel for High-Quality Vision-and-Language Navigation Datasets
Vision-and-Language Navigation (VLN) VLN combines visual understanding with language to help agents navigate 3D spaces. The aim is to allow agents to follow instructions like humans, making it useful in robotics, augmented reality, and smart assistants.…
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Top 5 Data Analytics Certifications
The post discusses the importance of data analytics in today’s data-driven world and recommends obtaining a Data Analytics Certification as a valuable and indispensable tool for success and innovation in various industries.
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30+ AI Tools For Startups (December 2023)
AI is transforming workplace creativity, analysis, and decision-making, offering a significant opportunity for business expansion. Various applications, including automation, predictive analytics, and content development, are available to aid young businesses in improving productivity and growth. AI…
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DIFFUSEARCH: Revolutionizing Chess AI with Implicit Search and Discrete Diffusion Modeling
Understanding Large Language Models (LLMs) Large Language Models (LLMs) are gaining popularity in AI research due to their strong capabilities. However, they struggle with long-term planning and complex problem-solving. Traditional search methods like Monte Carlo Tree…
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DeepMind Research Develops AutoRT: Transforming Robotic Learning Through AI-Driven Task Execution in Real-World Environments
Google Deepmind has developed AutoRT, utilizing foundation models to enable the autonomous deployment of robots in diverse environments with minimal human supervision. It leverages vision-language and large language models to generate task instructions and ensure safety…
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Balancing Urgency vs. Sustainability as an Analytics Team
This text provides guidance on how to navigate immediate reporting requests in the field of data analytics. It emphasizes the importance of leveraging existing metrics, establishing boundaries for recurring requests, reflecting on stakeholders’ needs, anticipating future…
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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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Microsoft’s Debug-Gym: Bridging the Gap Between LLMs and Human Debugging
Advancements in AI Debugging Tools: Microsoft’s Debug-Gym Advancements in AI Debugging Tools: Microsoft’s Debug-Gym The Challenges of Debugging in AI Coding Tools Despite notable advancements in code generation, AI coding tools still encounter significant challenges when…
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Top Free Artificial Intelligence AI Courses from Ivy League Colleges
Top Free AI Courses from Ivy League Colleges Practical Solutions and Value Ivy League Colleges such as Harvard, Stanford, and MIT offer a range of free online courses that make high-quality education accessible to a global…
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Recall to Imagine (R2I): A New Machine Learning Approach that Enhances Long-Term Memory by Incorporating State Space Models into Model-based Reinforcement Learning (MBRL)
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How Can We Effectively Compress Large Language Models with One-Bit Weights? This Artificial Intelligence Research Proposes PB-LLM: Exploring the Potential of Partially-Binarized LLMs
PB-LLM is an innovative approach for extreme low-bit quantization in Large Language Models (LLMs) while preserving language reasoning capabilities. It strategically filters salient weights during binarization, introduces post-training quantization (PTQ) and quantization-aware training (QAT) methods, and…
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A New AI Research Introduces LoRAMoE: A Plugin Version of Mixture of Experts (Moe) for Maintaining World Knowledge in Language Model Alignment
Large Language Models (LLMs) require supervised fine-tuning (SFT) to match human instructions, which traditionally caused performance loss. Researchers from Fudan University and Hikvision Inc. propose a solution – LoRAMoE, a plugin version of Mixture of Experts,…