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