Time to Rethink Visual Data Management for Machine Learning

ML developers and data scientists are increasingly tasked with extracting value from torrents of visual data (images, videos, etc). However, handling big-visual-data requires expertise in large scale infrastructure and data management solutions were not developed with ML workflows in mind. ApertureData Platform recognizes the unique characteristics of visual data as well as the importance of its associated metadata, streamlining access and extraction operations across large visual data for scalable ML deployments. Our simple ML-aware interface cuts platform engineering time by months. What current makeshift solutions fail to address is that as ML gets commercialized, managing the onslaught of real visual data is going to be a killer for real deployments. Our talk will explain why status quo needs to be challenged, how ApertureData Platform achieves the performance and functionality important for a wide range of visual ML driven application domains, and demonstrate some real world use cases.