Source: thenewstack.io
Automate Anomaly Detection for Time Series Data
Hundreds of billions of sensors produce vast amounts of time series data every day. Machine learning drastically accelerates time series data analysis so that companies can understand and act on their time series data to drive significant innovation and improvements. Current estimates predict there will be over 1 trillion sensors available by 2025 producing time series data.
Upalgo is a SaaS platform that applies machine learning to time series data to make it more useful and performant by automating the processes of anomaly detection and labeling, and then iterating on those processes to improve data models.
Ezako’s commitment to improving machine learning on time series data significantly accelerates key processes that ML data scientists face.
Upalgo is a SaaS platform that applies machine learning to time series data to make it more useful and performant by automating the processes of anomaly detection and labeling, and then iterating on those processes to improve data models.
Ezako’s commitment to improving machine learning on time series data significantly accelerates key processes that ML data scientists face.
Related Articles
Community Partners
DevOps Careers