It’s not about your algorithms…

Increasing the effectiveness of your AI efforts is not about more sophisticated algorithms - it’s the data that makes the difference. While teams have been focusing on using advanced learning techniques and algorithms to build better models, the real value can be found in focusing on data. Taking a data-centric AI perspective has a more significant impact on model performance than a technique-centric approach. Effective machine learning practices will result in better performing models, but it takes a multifaceted approach: understanding the data you have, acquiring additional data and organizationally making your exploratory data analysis (EDA) efforts systematic and procedural. The result will be efficient and effective data pipelines leading to predictive, reliable models that deliver business value.