Scientist at Yandex Data Factory • Co-founder of Data Mining in Action, largest offline data science course in Russia • Co-author of two Coursera specializations in data science with > 50K students • Lecturer at Harbour.Space University, GSOM MBA https://www.linkedin.com/in/emelidral ?! 50+ Industrial applications of machine learning
of key business KPIs, full process automation Question What will happen in the future? Which action to take? Parametric models Machine learning Physical models Statistical models Expert systems …. Predictions VS recommendations
models, technological maps…) Now with machine learning! The “Sniper” service was introduced as a pilot program in the production process, optimizing the consumption of ferroalloys and additional materials in steelmaking.
product features based on ML 2. From black box to explainable AI 3. Scenario analysis with ML 4. From item/content recommendations to process/decision optimization 5. Hybrid applications based on combination of ML with other tools 6. From recommendations to automation of action