Krakow, Poland, 19 - 21 June 2024

Ireneusz Gawlik
Allegro.pl

Ireneusz serves as the Director of Machine Learning Research at Allegro.pl, a deparment he established half a decade ago. Since its inception, Machine Learning Research has gained recognition not only for its cutting-edge AI solutions spanning diverse business domains but also for its contributions to advancing the field of machine learning through scholarly publications. 


Under Ireneusz's leadership, the department is presently dedicated to enhancing customer experiences by harnessing the power of deep learning. This includes applications in search retrieval and ranking, visual search, recommendations, advertising, and state-of-the-art machine translation. Additionally, they are pioneering the automation of customer service through natural language processing solutions, while concurrently developing a customized ML Ops platform to supercharge enterprise productivity. Before his tenure at Allegro, Ireneusz was associated with AGH University of Science and Technology in Cracow. During his time there, he focused on developing Digital Signal Processing (DSP) and Machine Learning (ML) algorithms for spatial sound processing and automatic speech recognition. He earned his academic qualifications also from AGH University, holding a Bachelor of Science degree in Computer Science and a Master of Science degree in Sound Engineering.

Artificial intelligence is a powerful tool with huge potential. But many find it tricky to achieve the success they hope for. In this session, we're bringing together experts from Allegro, KP Labs, Synerise, WP Engine, and ZenDesk to talk about their experiences in building effective AI solutions in various industries. While AI is new to many, our experts have used this long before the hype and will share their lessons learned, best practices, perspectives, and insights in the following areas:
  • The big wins and losses with AI,
  • How to measure AI success and quality,
  • Common AI failure pitfalls and how to avoid them,
  • Making AI solutions cost-effective,
  • How AI is changing the way we work.
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13
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09
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52
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49
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