
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 at the University of Bonn, led by Prof. Dr. Jürgen Bajorath, have discovered that ‘black box’ AIs in pharmaceutical research rely on recalling existing data rather than learning new chemical interactions, challenging previous assumptions. The…
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This AI Paper from Segmind and HuggingFace Introduces Segmind Stable Diffusion (SSD-1B) and Segmind-Vega (with 1.3B and 0.74B): Revolutionizing Text-to-Image AI with Efficient, Scaled-Down Models
Text-to-image synthesis technology has transformative potential, but faces challenges in balancing high-quality image generation with computational efficiency. Progressive Knowledge Distillation offers a solution. Researchers from Segmind and Hugging Face introduced Segmind Stable Diffusion and Segmind-Vega, compact…
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Will Microsoft become the new AGI leader?
Microsoft’s recent acquisition of top talent from OpenAI, including Sam Altman and Greg Brockman, suggests that the tech giant is positioning itself as a dominant force in the AI industry. With the possibility of 550 OpenAI…
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Holo1.5: Revolutionizing GUI Localization and UI-VQA for Computer-Use Agents
Introduction to Holo1.5 H Company, a pioneering AI startup from France, has released Holo1.5, an innovative family of open foundation vision models. These models are crafted for computer-use (CU) agents, designed to interact seamlessly with real…
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Meet Medusa: An Efficient Machine Learning Framework for Accelerating Large Language Models (LLMs) Inference with Multiple Decoding Heads
The latest advancement in AI, Large Language Models (LLMs), has shown great language production improvement but faces increased inference latency due to model size. To address this, researchers developed MEDUSA, a method that enhances LLM inference…
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Zyphra Releases Zamba2-1.2B-Instruct and Zamba2-2.7B-Instruct: A New State-of-the-Art Small Language Model Series that Outperforms Gemma2-2B-Instruct
Zyphra Unveils Zamba2 Language Models Overview of Zamba2-1.2B-Instruct Zamba2-1.2B-Instruct is designed for enhanced multi-turn chat and instruction-following tasks. It features a unique hybrid architecture for rapid responses and low latency. Performance Benchmarks of Zamba2-1.2B-Instruct Excels in…
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Report uncovers the dynamics of North Korea’s resurging AI industry
North Korea’s increasing foray into AI and ML is highlighted in a report by Hyuk Kim from the James Martin Center for Nonproliferation Studies. It delves into the nation’s historic AI achievements, current developments, and the…
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AI finally solves the mystery behind a Renaissance painting
Researchers used machine learning to determine the true artist of the Renaissance painting Madonna della Rosa. While there were lingering doubts, a machine learning model developed by Professor Ugail identified high probabilities that certain parts were…
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Convert Text to High-Quality Audio with Open Source TTS on Hugging Face
Guide to High-Quality Text-to-Audio Conversion Using Open-Source TTS Guide to High-Quality Text-to-Audio Conversion Using Open-Source TTS This guide provides a straightforward solution for converting text into audio using an open-source text-to-speech (TTS) model available on Hugging…
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Arcee AI Introduces Arcee Swarm: A Groundbreaking Mixture of Agents MoA Architecture Inspired by the Cooperative Intelligence Found in Nature Itself
Arcee AI Introduces Arcee Swarm: A Groundbreaking Mixture of Agents MoA Architecture Inspired by the Cooperative Intelligence Found in Nature Itself Practical Solutions and Value Highlights Arcee AI is launching Arcee Swarm, a unique solution bringing…
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The RAFT Way: Teaching Language AI to Become Domain Experts
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HuggingFace Researchers Introduce Docmatix: A Dataset For Document Visual Question Answering Containing 2.4 Million Pictures And 9.5 Million Q/A Pairs
Practical Solutions and Value of Docmatix: A Dataset for Document Visual Question Answering Challenges in DocVQA Document Visual Question Answering (DocVQA) faces challenges due to the complexity of collecting and annotating data from various document formats.…
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AI poses growing risk to financial markets, US regulator cautions
The Financial Stability Oversight Council (FSOC) has identified AI as a significant risk factor in the US financial system. Treasury Secretary Janet Yellen highlighted concerns in a recent meeting, emphasizing the need for responsible innovation and…
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Researchers from Future House and Oxford Created BioPlanner: An Automated AI Approach for Assessing and Training the Protocol-Planning Abilities of LLMs in Biology
Bioplanner, a recent research introduced by researchers from multiple institutions, addresses the challenge of automating the generation of accurate protocols for scientific experiments. It focuses on enhancing long-term planning abilities of language models, specifically targeting biology…
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Supervision by Roboflow Enhances Computer Vision Projects: Installation, Features, and Community Support Guide
Roboflow’s Supervision Tool: Enhancing Computer Vision Projects Understanding Supervision Roboflow’s Supervision tool simplifies computer vision tasks such as loading datasets, drawing detections, and counting items in zones. Its adaptability makes it valuable for developers and researchers.…
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Google’s LSM-2: Revolutionizing Self-Supervised Learning from Incomplete Wearable Data
The Transformative Power of LSM-2 in Wearable Data Analysis Wearable technology is revolutionizing how we monitor health by continuously collecting vital physiological and behavioral data. Devices can track everything from heart rate to skin temperature, providing…















