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Driving Value Creation with Data Science in the Mining Industry

Key Takeaways:
  • Learn about best practices for using data in the mining industry.
  • Learn how to ​​get return on investment from mining industry data projects.
  • Learn how to set-up a profitable data team to deal with these projects.
Wednesday, January 17, 11AM ET
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Data is everywhere, including the mining industry! To achieve data science success, it's essential to understand how data relates to the business challenges.

In this webinar, Anton Abrarov, the Head of AI & Data Science at Norilsk Nickel, explains how data is used to solve technical and business problems at his company and in the broader mining industry.

You'll gain an understanding of where data can be used to add value in the mining industry, along with some practicable tips for increasing the success of data science projects.

Presenter Bio

Anton Abrarov Headshot
Anton AbrarovHead of AI & Data Science at Norilsk Nickel

Anton is a business-oriented data leader. He runs the data science and AI teams for Norilsk Nickel, the world's largest producer of nickel and palladium. He has built data teams from scratch, and run data and AI projects across a wide variety of mining applications from data streaming initiatives to using computer vision sensors for process control. Anton has previously been a data leader for the Moscow government and a consultant for McKinsey.

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