摘要： These days, branding is a highly calibrated art form. It used to be that there was a lot of guesswork. Thanks to data monitoring tools, and the many competent professionals trained to use them, those days are a thing of the past.
摘要：
CIOs can transform their digital ecosystems by establishing a single source for data, storing data in an accessible way, and establishing a flexible process to output data.
摘要： Machine learning workloads require large datasets, while machine learning workflows require high data throughput. We can optimize the data pipeline to achieve both.
摘要： Machine learning models can perform wonderful things—if they have enough training data. Unfortunately, for many applications, access to quality data remains a barrier.
