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
-
Automated Design of Agentic Systems(ADAS): A New Research Problem that Aims to Invent Novel Building Blocks and Design Powerful Agentic Systems Automatically
Automated Design of Agentic Systems (ADAS): Revolutionizing AI System Design Practical Solutions and Value Automated design in artificial intelligence (AI) is a cutting-edge field focused on developing systems capable of independently generating and optimizing their components.…
-
Beyond Open Source AI: How Bagel’s Cryptographic Architecture, Bakery Platform, and ZKLoRA Drive Sustainable AI Monetization
Bagel: Revolutionizing Open-Source AI Development Bagel is an innovative AI model architecture that changes the way open-source AI is developed. It allows anyone to contribute freely while ensuring that contributors receive credit and revenue for their…
-
OpenBMB Just Released MiniCPM-o 2.6: A New 8B Parameters, Any-to-Any Multimodal Model that can Understand Vision, Speech, and Language and Runs on Edge Devices
Significant Advancements in Artificial Intelligence Artificial intelligence has advanced a lot recently, but there are still challenges in using it effectively on everyday devices. Models like GPT-4 need powerful computers, making them hard to access for…
-
PowerLM-3B and PowerMoE-3B Released by IBM: Revolutionizing Language Models with 3 Billion Parameters and Advanced Power Scheduler for Efficient Large-Scale AI Training
IBM’s PowerLM-3B and PowerMoE-3B: Revolutionizing Language Models Practical Solutions and Value IBM’s release of PowerLM-3B and PowerMoE-3B signifies a significant leap in improving the efficiency and scalability of language model training. The models are built on…
-
This Machine Learning Research Attempts to Formalize Generalization in the Context of GFlowNets and to Link Generalization with Stability
Practical Solutions for Sampling from Unnormalized Probability Distributions Addressing Complex Sampling Challenges with GFlowNets Generative Flow Networks (GFlowNets) offer a robust framework for efficient sampling from unnormalized probability distributions in machine learning. By learning a policy…
-
Unveiling the Frontiers of Scientific Discovery with GPT-4: A Comprehensive Evaluation Across Multiple Disciplines for Large Language Models
Language models like GPT-4, which are part of the field of Artificial Intelligence, have gained popularity due to their remarkable capabilities in various fields. These models excel in tasks such as coding, mathematics, law, and understanding…
-
Meet Magika: A Novel AI-Powered File Type Detection Tool that Relies on the Recent Advancements of Deep Learning to Provide Accurate Detection
Magika is an AI-based file-type detection tool driven by deep learning, offering precise identification within milliseconds and achieving over 99% precision and recall on a diverse dataset. It supports batching for faster processing, provides trustworthy predictions…
-
Levandowski relaunches his “Way of the Future” AI church
Former Google and Uber engineer Anthony Levandowski is relaunching his Way of the Future (WOTF) church, aiming to help people develop a “spiritual connection” with artificial intelligence (AI). Levandowski believes AI has the potential to bring…
-
Implement real-time personalized recommendations using Amazon Personalize
Amazon Personalize is a machine learning technology that enables businesses to provide personalized recommendations to their customers. It simplifies the integration of personalized recommendations into websites, applications, and email marketing systems. With Amazon Personalize, businesses can…
-
OctoThinker: Advancements in Reinforcement Learning for Enhanced LLM Performance
Introduction: Reinforcement Learning Progress through Chain-of-Thought Prompting Large Language Models (LLMs) have made remarkable strides in tackling complex reasoning tasks, largely due to the innovative approach of Chain-of-Thought (CoT) prompting combined with large-scale reinforcement learning (RL).…
-
This AI Paper from Imperial College London and Eleuther AI Explores Role Play as a Framework for Understanding Dialogue-Agent Behavior
The paper explores the impact of AI-powered chatbots on human interactions, highlighting the need for a linguistic shift and cognitive flexibility. It warns against attributing human-like qualities to chatbots, emphasizing the risk of emotional attachment and…
-
LLaVA-NeXT: Advancements in Multimodal Understanding and Video Comprehension
Practical AI Solutions for Your Business LLaVA-NeXT: Advancements in Multimodal Understanding and Video Comprehension In the pursuit of Artificial General Intelligence, LLaVA-NeXT represents a significant leap, offering remarkable capabilities across various multimodal tasks. Developed by researchers…
-
Run AI Open Sources Run:ai Model Streamer: A Purpose-Built Solution to Make Large Models Loading Faster, and More Efficient
Streamlining AI Model Deployment with Run AI: Model Streamer In the fast-paced world of AI and machine learning, quickly deploying models is crucial. Data scientists often struggle with the slow loading times of trained models, whether…
-
How Self-RAG Could Revolutionize Industrial LLMs
The article discusses Self-RAG, a method that improves upon the standard Retrieval Augmented Generation (RAG) architecture. Self-RAG uses fine-tuned language models to determine the relevance of a context and generates special tokens accordingly. It outperforms other…
-
Dynamic Fine-Tuning (DFT): Enhancing Generalization in Large Language Models for Researchers and AI Practitioners
Understanding Dynamic Fine-Tuning (DFT) Dynamic Fine-Tuning (DFT) is an innovative approach designed to improve the limitations of Supervised Fine-Tuning (SFT) in large language models (LLMs). SFT has been widely used for adapting LLMs to specific tasks…
-
From Adaline to Multilayer Neural Networks
The provided text is a technical article covering the implementation and explanation of a multilayer neural network from scratch. It discusses the foundations, implementation, training, hyperparameter tuning, and conclusions about the network, along with sections on…