FeatureByte CEO Razi Raziuddin on Machine Learning and Feature Engineering

I spoke with Razi Raziuddin, CEO of FeatureByte, about the best way to prep data for ML models; he also explained some of the most common challenges with feature engineering.

Among the topics we discussed: 

• The process of transforming raw data into features – to train ML models and predict future outcomes – is called feature engineering. Why is feature engineering so challenging for companies?
• What advice do you give companies about the best way to prep data for ML models?
• How is FeatureByte addressing the feature engineering needs of its clients?
• The future of data prep and ML models? Will it get easier?

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