DERI Seminar with Dr Nikolay Burlutskiy - Senior Manager for Enterprise GenAI Platforms at Mars
When: Thursday, April 9, 2026, 11:00 AM - 12:00 PM
Where: Teams
Speaker: Dr Nikolay Burlutskiy, Senior Manager for Enterprise GenAI Platforms at Mars
Title: Best Practices for Building Enterprise ML Applications
Abstract: This talk explores the critical aspects of developing successful enterprise machine learning (ML) applications. It begins by defining what constitutes an enterprise ML application, emphasizing the need for scalability, integration with existing infrastructure, security, and a clear focus on solving business problems. The discussion highlights common challenges faced beyond building a high-performing ML model, including the complexities of real-world data, infrastructure requirements, and cross-functional collaboration.
Attendees will gain insights into the iterative nature of ML model development, the importance of comprehensive data preparation, and the often-underestimated effort required to transition from model training to enterprise deployment. The talk also addresses the growing importance of mitigating the environmental impact of computationally intensive ML applications through efficient model selection and hardware optimization.
A practical use case demonstrates how to balance model performance and cost by routing user queries to the most appropriate large language model (LLM), showcasing smarter and more cost-effective deployment strategies.
Finally, the presentation shares valuable lessons learned from building ML models and applications at scale, underscoring the necessity of diverse teams, stakeholder buy-in, and continuous communication. This session is designed for professionals seeking to deepen their understanding of enterprise ML application development and to adopt best practices that drive measurable business impact.
Bio: Dr Nikolay Burlutskiy is the Senior Manager for Enterprise GenAI Platforms at Mars. Nikolay is passionate about developing trustworthy AI models and platforms to improve, accelerate and transform business processes in large organisations. Before joining Mars, he was Director of ML & AI at AstraZeneca R&D, UK. Nikolay led algorithm development of Inify – a successful decision support tool to empower pathologists – at ContextVision in Stockholm. He also worked as an R&D AI engineer at Samsung Electronics in South Korea, developing vacuum cleaning robots. Nikolay has a PhD in ML and NLP and has co-authored more than 35 peer-reviewed publications including several US patents on AI applications.
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Microsoft Teams meeting
Join: https://teams.microsoft.com/meet/37938976042729?p=7XnmjWMrGwMhZ3GZFB
Meeting ID: 379 389 760 427 29
Passcode: ir3Av7FF
For organizers: Meeting options
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