Данные люди
A Russian-language archive of conversations with data, ML, and AI practitioners — recorded over several years and kept here as a working record of the industry as it grew. Episode highlights are listed below so you can pick what to dig into.
Transcripts aren't published — if you want one for a specific episode, email me and I'll add it.
- August 2024#15
Искусство LLM меняет мир? — Андрей Филатов, Sber AI
Is the art of LLMs changing the world? — Andrey Filatov, Sber AI
Russian
- —Head of Data Research at Sber AI
- —Big-data and LLM research
- —Practical applications of large language models
- March 2024#14
Управление разработкой под высокой нагрузкой. — Андрей Климов, МегаФон / oneFactor
Managing engineering under high load — Andrey Klimov, MegaFon / oneFactor
Russian
- —Head of data services development at MegaFon (oneFactor platform)
- —Engineering management for one of Russia's largest BigData platforms
- —Keeping a platform reliable under high load as it scales
- January 2024#13
Инвестиции в будущее. — Александр Пискунов, KAAN Ventures
Investing in the future — Alexander Piskunov, Managing Partner at KAAN Ventures
Russian
- —Managing Partner of KAAN Ventures investment fund
- —Investment fundamentals for tech founders
- —How to invest in tech startups across global markets
- December 2023#12
Путь грандмастера — как всё успеть. — Андрей Лукьяненко, Senior Data Scientist @ Careem
The grandmaster's path — how to fit it all in — Andrey Lukyanenko, Senior Data Scientist at Careem
Russian
- —Senior Data Scientist at Careem; Kaggle Grandmaster
- —How to make time for everything on the way to grandmaster
- —Russian vs. international DS teams
- August 2023#11
«Низкий уровень» беспилотного транспорта и сложности безопасности. — Алексей Луговский
The low-level layer of autonomous vehicles, and the hard parts of safety — Alexey Lugovsky
Russian
- —Engineering Manager / Project Manager in embedded and automotive projects
- —Linux, embedded systems, and safety in autonomous vehicles
- —Final episode of season 2
- April 2023#10
Станет ли «умный дом» умнее нас? — Антон Мальцев, основатель Rubetek
Will the smart home outsmart us? — Anton Maltsev, founder of Rubetek
Russian
- —Founder and Managing Director of Rubetek
- —Why a smart home isn't for everyone
- —How an actually-good smart-home system should work
- April 2023#9
Большие Данные — конкурентное преимущество бизнеса. — Виталий Щербаков, МегаФон
Big data as a competitive advantage — Vitaly Shcherbakov, MegaFon
Russian
- —Director of Big Data and data products at MegaFon
- —Why telecom is one of the most interesting domains for DS
- —Education requirements and industry trends
- December 2022#8
Информационные технологии в медицине: не навреди! — Александр Гусев
Information technology in medicine: do no harm! — Alexander Gusev
Russian
- —Whether medical-domain knowledge is required to build healthcare tech products
- —How DS reduces the risk of late disease detection
- —Ethics, modeling, and digitization in medicine
- July 2022#7
Data Science: когда закончится «переходный возраст» отрасли? — Ирина Голощапова, Head of Data Science «Лента»
Data science: when will the industry's adolescence end? — Irina Goloshchapova, Head of Data Science at Lenta
Russian
- —Head of Data Science at Lenta (Russian retail chain)
- —Code quality vs. research skills — which actually matters more
- —Modeling specifics in retail; an honest take on AI doom
- April 2022#6
Переводите мечты в планы. — Миша Свердлов, директор по развитию Skypro
Turn dreams into plans — Misha Sverdlov, director of development at Skypro
Russian
- —Director of development at Skypro; author of the channel «Образование, которое мы заслужили»
- —How to use big data in education
- —Choosing a course without making the obvious mistakes
- January 2022#5
Нужно ли датасаентисту быть ещё и DevOps? — Павел Клеменков, основатель Moscow Spark Community
Does a data scientist also need to be a DevOps? — Pavel Klemenkov, founder of Moscow Spark Community
Russian
- —Founder of Moscow Spark Community, Chief Data Scientist at NVIDIA Data Platform
- —Where the line falls between data science and DevOps
- —A balance of engineering and philosophy
- December 2021#4
Кому нужны эти ваши Big Data? — Александр Дьяконов, профессор ВМК МГУ
Who actually needs your Big Data? — Alexander Dyakonov, professor at MSU's CMC faculty
Russian
- —Professor at MSU's Faculty of Computational Mathematics and Cybernetics
- —Is data science a sport, an ambition, or a science?
- —Where to actually learn the craft
- December 2021#3
Альтруизм и любовь к Machine Learning. Многорукий бандит — Юрий Кашницкий
Altruism and a love for machine learning. The multi-armed bandit — Yury Kashnitsky
Russian
- —Why build a free ML course at all
- —How to balance studying and life
- —Where the beauty in data science lives
- October 2021#2
Эмпатия важнее математики? Что нужно дата-сайентисту будущего? — Рубен Ениколопов, ректор РЭШ
Is empathy more important than math? What the data scientist of the future will need — Ruben Enikolopov, rector of NES
Russian
- —Rector of the New Economic School (NES), PhD
- —How economics intersects with data science
- —Ethical questions in AI use
- September 2021#1
Дата сайентисты — жрецы нового времени? — Алексей Драль, основатель и CEO Big Data Team
Are data scientists the priests of our era? — Alexey Dral, founder and CEO of Big Data Team
Russian
- —First episode — guest is Alexey Dral, founder/CEO of Big Data Team
- —Applied ML and Python courses for IT specialists and managers
- —What practical ML training looks like in industry