BIG DATA and Advanced Analytics — International Scientific-Practical Conference
Minsk · 2015–2017, 2020–2024 (editions I–III, VI–X)
Presented research on data-driven anomaly detection in solar energy systems across multiple editions.
I speak about applied AI and machine learning: what it takes to move models into production, entity resolution and data engineering, AI-based anomaly detection, and building AI products outside big tech. Most of my conference experience comes from the international BIG DATA and Advanced Analytics series, where I presented research over many years.
Minsk · 2015–2017, 2020–2024 (editions I–III, VI–X)
Presented research on data-driven anomaly detection in solar energy systems across multiple editions.
Minsk · 2024
Computer-aided design in electronics: presented dissertation research results.
Minsk · 2025
Conference presentation of applied research results.
Minsk · 2025
Presented research on telemetry-based anomaly analysis.
Constantine Dzik is a technology lead specializing in practical AI and machine-learning implementation: business entity resolution, LLM systems, embeddings and vector search, and computer vision for manufacturing. He has two decades of engineering experience, a research background in AI-based anomaly detection for solar energy (14 published works), and is the founder of an industrial computer-vision company. He speaks about applied AI, data engineering, and building AI products that deliver measurable outcomes.
Interested in having me speak? Get in touch.