
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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Visual Intuitive Physics: Enhancing Understanding Through Visualization
Visual Intuitive Physics: Enhancing Understanding Through Visualization Often perceived as abstract and challenging, physics covers fundamental aspects of the universe, from the tiny world of quantum mechanics to the vast cosmos of general relativity. Visual Intuitive…
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Meta AI Introduces Meta Segment Anything Model 2 (SAM 2): The First Unified Model for Segmenting Objects Across Images and Videos
Introducing SAM 2: The Next Generation of Object Segmentation Efficient and Versatile Object Segmentation Meta’s SAM 2 is a groundbreaking model for real-time object segmentation in images and videos. It offers superior accuracy with three times…
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Enhancing Accountability and Trust: Meet the ‘AI Foundation Model Transparency Act’
The AI Foundation Model Transparency Act aims to address concerns about bias and inaccuracies in AI systems. The Act proposes detailed reporting requirements for training data and operational aspects of foundation models, mandating transparency to foster…
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This AI Paper from MIT Introduces a Novel Approach to Robotic Manipulation: Bridging the 2D-to-3D Gap with Distilled Feature Fields and Vision-Language Models
Researchers from MIT and IAIFI have developed a framework called Feature Fields for Robotic Manipulation (F3RM), which addresses the challenge of enabling robots to manipulate objects in cluttered environments. F3RM leverages distilled feature fields to combine…
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Productized Services 101: The One Person Business Killing Freelancers (Employees Are Next)
The article discusses the rise of the Productized Services model, which is transforming the services industry and posing a threat to freelancers and employees. It explains the concept, advantages over traditional models, and provides steps to…
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Empowering Developers and Non-Coders Alike to Build Interactive Web Applications Effortlessly
Empowering Developers and Non-Coders Alike to Build Interactive Web Applications Effortlessly Taipy Designer: Seamless Integration from Python Code to Web Interface For those new to Python programming, navigating the abundance of available libraries can be overwhelming.…
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Salesforce AI Researchers Propose BootPIG: A Novel Architecture that Allows a User to Provide Reference Images of an Object in Order to Guide the Appearance of a Concept in the Generated Images
The research paper by Salesforce AI introduces BootPIG, a novel architecture for personalized image generation in text-to-image models. BootPIG uses RSA layers to guide image generation based on reference object features. Training uses synthetic data generation…
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This AI Paper Introduces Learning from Mistakes (LeMa): Enhancing Mathematical Reasoning in Large Language Models through Error-Driven Learning
A team of researchers from Jiaotong University, Peking University, and Microsoft have developed a method called LeMa that improves the mathematical reasoning abilities of large language models (LLMs) by teaching them to learn from mistakes. They…
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H2O.ai vs SageMaker Autopilot: Can Open Core Outperform Big Cloud in Model Performance?
H2O.ai vs. SageMaker Autopilot: Can Open Core Outperform Big Cloud in Model Performance? This comparison aims to evaluate H2O.ai’s Driverless AI and Amazon SageMaker Autopilot, two leading automated machine learning (AutoML) solutions, across ten key criteria…
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Build and Publish Your AI Blogging Website with Lovable.dev and GitHub Integration
Building an AI Blogging Website with Lovable.dev Step-by-Step Guide to Creating an AI Blogging Website Using Lovable.dev Creating a professional AI blogging website has never been easier, thanks to Lovable.dev. This platform streamlines the website development…
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MagicDec: Unlocking Up to 2x Speedup in LLaMA Models for Long-Context Applications
Unlocking Up to 2x Speedup in LLaMA Models for Long-Context Applications Practical Solutions and Value Large Language Models (LLMs) are widely used in interactive chatbots and document analysis, but serving these models with low latency and…
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Google AI Introduces SANPO: A Multi-Attribute Video Dataset for Outdoor Human Egocentric Scene Understanding
Researchers at Google have developed SANPO, a large-scale video dataset for human egocentric scene understanding. The dataset contains over 600K real-world and 100K synthetic frames with dense prediction annotations. SANPO includes a combination of real and…
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Re-imagining the opera of the future
Exciting news! 📣 “Re-imagining the opera of the future” takes center stage once again. 🎭✨ Composer Tod Machover’s groundbreaking opera, “VALIS,” inspired by Philip K. Dick’s science fiction novel, returns after 30 years, re-staged at MIT…
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Meet VectorLink: A Vector Database that is Part of TerminusCMS, Providing Semantic Data and Content Management Tools Using Vector Embeddings
VectorLink, a part of TerminusCMS, tackles the complexities of data with innovative solutions. Developers face challenges in navigating intricate data landscapes, leading to the development of VectorLink. By transforming data into vectors, enabling semantic similarity searches,…
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Knowledge Graphs, Hardware Choices, Python Workflows, and Other November Must-Reads
Data and machine learning professionals are wrapping up the year by enhancing skills and preparing for career progression. November’s popular reads in Towards Data Science (TDS) included guides on knowledge graphs, hardware benchmarks, job search tips,…
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This AI Paper from Google DeepMind Introduces Enhanced Learning Capabilities with Many-Shot In-Context Learning















