Machine learning is the future, but is not without its challenges, says STX Next

September 12, 2022
May 23, 2024

Krzysztof Sopyla, Head of Machine Learning and Data Engineering at STX Next, offers advice on addressing the complexities of undertaking a machine learning project

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STX Next is the largest software house in Europe specialising in designing and creating digital solutions in the Python programming language. The company has been operating since 2005 and cooperates with over 500 people through eight offices in Poland. STX's clients include leading international corporations, small and medium enterprises and the most innovative start-ups from around the world.
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The popularity of artificial intelligence (AI) and machine learning (ML) has skyrocketed in recent years. In fact, STX Next’s 2021 CTO report found that around two-thirds of businesses have now implemented ML in some form and a further three-quarters of CTOs see it as the most likely technology to come to prominence in the next two years.

According to Krzysztof Sopyla, Head of Machine Learning and Data Engineering at STX Next, maximising the potential of machine learning means being fully aware of the complexity and unique challenges that come with these types of projects, and taking the necessary steps to overcome them.

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