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“We perform all of these observational studies, but at the end of them we need a physician to summarize the results in context."
"We believe that products like Arize are raising the bar for the industry in terms of ML observability. Standardized model observability will soon become a best practice and an integral part of any new machine learning projects in production, similar to what Datadog and Grafana have achieved in software engineering. We are excited to be part of this evolution of data science, as we continue working with Arize and leverage the platform's capabilities."
Aporia is a full-stack and highly customizable ML observability platform that powers data science and ML engineering teams to monitor, debug, explain and improve their machine learning models and data. Aporia is the ML Observability platform, trusted by Fortune 500 enterprises – including Bosch, Munich RE, & Sixt – and industry leaders to visualize, monitor, and ensure ML models are performing at their best, always.
Comet is a meta machine learning platform designed to help data scientists and machine learning engineers to track, manage, visualize, and optimize ML models—from training runs to production monitoring. With just 2 line of code Comet integrates seamlessly with your existing ML infrastructure and tools so you do not have to start from scratch. Comet is trusted by some of the most innovative ML teams including Etsy, Uber, Shopify, Zappos, Ancestry, Assembly AI, Google AI, Shipt and many more. Learn more @ https://www.comet.com/site/ Try the collab notebook : https://colab.research.google.com/drive/1jj9BgsFApkqnpPMLCHSDH-5MoL_bjvYq?usp=sharing
Valohai is the only machine learning platform built for private installations with company’s intellectual property’s safety at the core. Boost your data scientists’ productivity by letting them concentrate on model building while Valohai automates your MLOps. Build an automatic regulatory compliant audit-trail from experiment to inference, with Valohai’s automatic version control.
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