Home Insights All authors Ilya Katsov

Ilya Katsov
Chief Technology Officer, Americas, AI/ML and Data Analytics
Ilya Katsov joined Grid Dynamics in 2009 to lead data-related consulting practices and major client engagements. He currently spearheads technology innovation, driving the ideation, development, and market launch of AI-centric solutions for supply chain, smart manufacturing, robotics, and customer experience. Before joining Grid Dynamics, Ilya worked at Intel Research, focusing on emerging wireless communication technologies. He is the author of two books on enterprise AI and holds multiple scientific publications and international patents.
Check out the latest insights

Retail demand forecasting: Use cases in Retail and Manufacturing

LLMOps blueprint for closed-source large language models

Evaluating the impact of GenAI on enterprise software development

A guide to supply chain control tower use cases

Visual quality control in additive manufacturing: Building a complete pipeline

Transform your product design processes and personalization services with generative AI

Inventory allocation optimization: A pre-built solution for Dataiku

Building a visual quality control solution in Google Cloud using Vertex AI

Optimization of order and inventory sourcing decisions in supply chains with multiple nodes, carriers, shipment options, and products

Visual quality control with AWS Lookout for Vision

Churn analytics in the technology and telecom industries using Google Vertex AI

Anomaly detection in industrial IoT data using Google Vertex AI: A reference notebook

6 personalization challenges that next best action will help you solve (and how)

Advantages of a next-generation customer data platform for a top tier marketing agency on AWS

The essential guide to transforming IT operations with AIOps

Personalizing in-game experience using reinforcement learning

Price optimization for video games using machine learning

Loss prevention with AI-powered IoT analytics platform on AWS

Customer churn prevention: A prescriptive solution using deep learning

A plug-and-play platform for in-app and in-game experience personalization

Multi-agent deep reinforcement learning for multi-echelon supply chain optimization

The adoption of AI for price and promotion management in retail and manufacturing

A rapid response to COVID-19 supply chain and market shocks

A rapid response to COVID-19 supply chain and market shocks: Emerge from the crisis stronger

Customer2vec: Representation learning for customer analytics and personalization

Deep reinforcement learning for supply chain and price optimization

Building a next best action model using reinforcement learning

Safety stock optimization for ship-from-store

Retail price modeling for replenishable and seasonal products

Algorithmic pricing, part III: Implementation blueprint

Algorithmic pricing, part II: AI and pricing strategy

Algorithmic pricing, part I: The risks and opportunities

Predictive analytics for promotion and price optimization