Machine Learning has be a valuable tool for increasing efficiency and driving down costs. In manufacturing and industry with complex supply chains and manufacturing processes ML can be extremely impactful in helping streamline these processes but the issue for those working on these projects is they end up wasting the majority of their time just managing their training data sets, Superb AI is here to fix that.
As Machine Learning use cases are increasing rapidly, the ability to wrangle these ever growing data sets is a challenge many organizations face. Superb AI’s platform allows ML Data Ops team to easily create labels, manage and analyze, and collaborate with other team members on existing data sets for your ML models.
By streamlining data management and labeling Superb AI can save teams time and help them more rapidly test their training data against ML models and more quickly iterate and drive innovation. Superb’s platform will help large enterprises streamline their operations and will empower startups to iterate more quickly without wasting time on manual management of their ML training data.
Hyun Kim and his team are working on an exciting challenge that is in its infancy. As the application for ML continues to grow, the need for ML Data Ops will continues to grow so that teams can spend less time wrangling their data and more time training their models and innovating.