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.
- #15
Искусство LLM меняет мир? — Андрей Филатов, Sber AI
Is the art of LLMs changing the world? — Andrey Filatov, Sber AI
August 2024 · Russian
- — Head of Data Research at Sber AI
- — Big-data and LLM research
- — Practical applications of large language models
- #14
Управление разработкой под высокой нагрузкой. — Андрей Климов, МегаФон / oneFactor
Managing engineering under high load — Andrey Klimov, MegaFon / oneFactor
March 2024 · 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
- #13
Инвестиции в будущее. — Александр Пискунов, KAAN Ventures
Investing in the future — Alexander Piskunov, Managing Partner at KAAN Ventures
January 2024 · Russian
- — Managing Partner of KAAN Ventures investment fund
- — Investment fundamentals for tech founders
- — How to invest in tech startups across global markets
- #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
December 2023 · Russian
- — Senior Data Scientist at Careem; Kaggle Grandmaster
- — How to make time for everything on the way to grandmaster
- — Russian vs. international DS teams
- #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
August 2023 · Russian
- — Engineering Manager / Project Manager in embedded and automotive projects
- — Linux, embedded systems, and safety in autonomous vehicles
- — Final episode of season 2
- #10
Станет ли «умный дом» умнее нас? — Антон Мальцев, основатель Rubetek
Will the smart home outsmart us? — Anton Maltsev, founder of Rubetek
April 2023 · Russian
- — Founder and Managing Director of Rubetek
- — Why a smart home isn't for everyone
- — How an actually-good smart-home system should work
- #9
Большие Данные — конкурентное преимущество бизнеса. — Виталий Щербаков, МегаФон
Big data as a competitive advantage — Vitaly Shcherbakov, MegaFon
April 2023 · 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
- #8
Информационные технологии в медицине: не навреди! — Александр Гусев
Information technology in medicine: do no harm! — Alexander Gusev
December 2022 · 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
- #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
July 2022 · 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
- #6
Переводите мечты в планы. — Миша Свердлов, директор по развитию Skypro
Turn dreams into plans — Misha Sverdlov, director of development at Skypro
April 2022 · 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
- #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
January 2022 · 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
- #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
December 2021 · 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
- #3
Альтруизм и любовь к Machine Learning. Многорукий бандит — Юрий Кашницкий
Altruism and a love for machine learning. The multi-armed bandit — Yury Kashnitsky
December 2021 · Russian
- — Why build a free ML course at all
- — How to balance studying and life
- — Where the beauty in data science lives
- #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
October 2021 · Russian
- — Rector of the New Economic School (NES), PhD
- — How economics intersects with data science
- — Ethical questions in AI use
- #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
September 2021 · 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