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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Scroll Fading 101
Scroll fading can enhance user experience when used appropriately, impacting factors like brand perception and page loading. This design pattern involves elements fading in or out as users scroll down a webpage. However, poorly deployed animations…
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Scaling up learning across many different robot types
We are launching Open X-Embodiment dataset, a resource for general-purpose robotics learning. With data from 22 robot types, the dataset allows for skills transfer across various robot embodiments. Additionally, we are releasing the RT-1-X, a trained…
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AgentStudio: An Open Toolkit for Developing General-Purpose Agents Capable of Operating in Digital Worlds
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Behind Microsoft CEO Satya Nadella’s push to get AI tools in developers’ hands
Microsoft CEO Satya Nadella recently made surprise appearances at two developer conferences in San Francisco to showcase new AI-powered tools. He emphasized the company’s focus on developers and its aim to make AI tools more accessible…
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Charting the Impact of ChatGPT: Transforming Human Skills in the Age of Generative AI
Impact of ChatGPT on Human Skills Practical Solutions and Value The emergence of ChatGPT, a conversational AI model developed by OpenAI, is transforming the nature of many jobs, requiring new skills from workers. User Reactions and…
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Create Smart Multi-Agent Workflows with Mistral Agents API: A Step-by-Step Guide for AI Developers
Understanding the Target Audience The primary audience for this tutorial includes AI developers, business analysts, and product managers interested in leveraging AI to enhance business operations. Typically, these professionals are tech-savvy and possess a solid understanding…
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Octo: An Open-Sourced Large Transformer-based Generalist Robot Policy Trained on 800k Trajectories from the Open X-Embodiment Dataset
Practical AI Solution: Octo – An Open-Sourced Large Transformer-based Generalist Robot Policy Value Proposition Octo is a transformer-based strategy pre-trained using 800k robot demonstrations from the Open X-Embodiment dataset, providing a practical and open-source solution for…
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Apple’s FastVLM: 85x Faster Hybrid Vision Encoder Revolutionizing AI Models
Apple has made a significant leap in the field of Vision Language Models (VLMs) with the introduction of FastVLM. This innovative hybrid vision encoder is designed to address some of the critical challenges that high-resolution images…
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CLDG: A Simple Machine Learning Framework that Sets New Benchmarks in Unsupervised Learning on Dynamic Graphs
Transformative Power of Graph Neural Networks (GNNs) Graph Neural Networks are changing the game in various real-world applications, such as: Corporate finance risk management Local traffic prediction However, a key challenge is their reliance on available…
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Google Project Zero Introduces Naptime: An Architecture for Evaluating Offensive Security Capabilities of Large Language Models
Enhancing Cybersecurity with Large Language Models Practical Solutions and Value Introduction As digital threats evolve, exploring new frontiers in cybersecurity is essential. Traditional approaches have been foundational, but the surge in Large Language Models (LLMs) presents…
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If the World Ends, What’s the Likelihood You Witnessed It?
The article discusses using data science to calculate the probability of being alive at the end of the world, based on historical human birth rates and population data. By leveraging the SciPy library, the project fills…
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This AI Research from Arizona State University Unveil ECLIPSE: A Novel Contrastive Learning Strategy to Improve the Text-to-Image Non-Diffusion Prior
Diffusion models are successfully used in text-to-picture production, with unCLIP models gaining attention. While unCLIP models surpass other models in composition benchmarks, they require more parameters and training data. Arizona State University introduces ECLIPSE, a contrastive…
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GWalkR: A One-Stop R Package for Exploratory Data Analysis with Visualization
The Value of GWalkR for Exploratory Data Analysis In the age of information, data analysis provides valuable insights into market trends and customer behavior. However, the shortage of skilled data analysts creates a gap in effectively…
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Researchers from Stanford Introduce CheXagent: An Instruction-Tuned Foundation Model Capable of Analyzing and Summarizing Chest X-rays
Artificial Intelligence, particularly deep learning, has transformed various fields, including medical imaging. Stanford University and Stability AI have introduced CheXagent, an instruction-tuned FM for CXR interpretation with a comprehensive evaluation framework, CheXbench. CheXagent demonstrated superior performance…
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Robot stand-in mimics movements in VR
Researchers have created an advanced telepresence robot that can instantly respond to a user’s virtual reality movements and gestures.
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From Diagrams to Solutions: MAVIS’s Three-Stage Framework for Mathematical AI
Practical Solutions for Visual Mathematical Problem-Solving Challenges in Visual Mathematical Problem-Solving Large Language Models (LLMs) and their multi-modal counterparts (MLLMs) face challenges in visual mathematical problem-solving, particularly in interpreting geometric figures and integrating complex mathematical concepts…