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Listen "Yurii, Volodymyr, and Ruslan about MLOps and the other sexiest technologies of XXI century"
Episode Synopsis
𝗛𝗼𝘀𝘁: Yuriy Milovanov, AI and Data Science Director, 6 years at SoftServe.
𝗚𝘂𝗲𝘀𝘁: Volodymyr Solskyy, Expert Data Scientist, 7 years at SoftServe.
𝗚𝘂𝗲𝘀𝘁: Ruslan Kusov, Infrastructure Solution Architect, 2,5 years at SoftServe.
Why the Data matter? What does the "Ops" part mean in DevOps? Why isn't Machine Learning a "rocket science" anymore? What MLOps exactly is? Let's check it out in the new episode of the podcast!
Here three of the best SoftServe experts discussed such popular directions as Big Data, Machine Learning, Artificial Intelligence, DevOps, and other kinds of "Ops." They show us the true view without pink glasses on the Data. Listen and enjoy!
𝟬𝟮:𝟬𝟱 What does the booming of ML and AI mean nowadays?
𝟬𝟰:𝟭𝟯 Technology journeys of host and guests.
𝟭𝟯:𝟮𝟬 How do people usually start to implement ambitious ideas?
𝟭𝟵:𝟰𝟴 Why entry-level for Machine Learning become much lower.
𝟮𝟲:𝟭𝟵 How to marry technology with business expectations?
𝟮𝟵:𝟰𝟱 What MLOps exactly is.
𝟯𝟱:𝟱𝟬 How to measure the results in MLOps?
𝟰𝟳:𝟱𝟲 Machine Learning is all about Date, isn’t it?
𝟱𝟯:𝟰𝟬 What can we expect from the future?
𝗚𝘂𝗲𝘀𝘁: Volodymyr Solskyy, Expert Data Scientist, 7 years at SoftServe.
𝗚𝘂𝗲𝘀𝘁: Ruslan Kusov, Infrastructure Solution Architect, 2,5 years at SoftServe.
Why the Data matter? What does the "Ops" part mean in DevOps? Why isn't Machine Learning a "rocket science" anymore? What MLOps exactly is? Let's check it out in the new episode of the podcast!
Here three of the best SoftServe experts discussed such popular directions as Big Data, Machine Learning, Artificial Intelligence, DevOps, and other kinds of "Ops." They show us the true view without pink glasses on the Data. Listen and enjoy!
𝟬𝟮:𝟬𝟱 What does the booming of ML and AI mean nowadays?
𝟬𝟰:𝟭𝟯 Technology journeys of host and guests.
𝟭𝟯:𝟮𝟬 How do people usually start to implement ambitious ideas?
𝟭𝟵:𝟰𝟴 Why entry-level for Machine Learning become much lower.
𝟮𝟲:𝟭𝟵 How to marry technology with business expectations?
𝟮𝟵:𝟰𝟱 What MLOps exactly is.
𝟯𝟱:𝟱𝟬 How to measure the results in MLOps?
𝟰𝟳:𝟱𝟲 Machine Learning is all about Date, isn’t it?
𝟱𝟯:𝟰𝟬 What can we expect from the future?
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