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"The things we were looking for were improving annotation quality and consistency, finding an all-in-one platform that included software and workforce management, and an incredibly knowledgeable team for our difficult use case. SuperAnnotate had it all."
"Today, about 7% of cattle that are conceived don’t survive until weaning. In other species, it's as high as 20%. That equates to several million premature fatalities every year in the US. We think we can make a small difference, we'd be saving hundreds of thousands of lives. We're doing it today for about 50+ different species and breeds, using SuperAnnotate."
Gathr is a next-gen, cloud-native, fully-managed, no-code data pipeline platform. It’s the only all-in-one platform for all your data integration and engineering needs – batch and streaming ingestion, CDC, ETL, ELT, data preparation, machine learning, and analytics. The Spark-based platform brings unmatched speed, performance, and flexibility required to handle all types of data and analytics approaches, in ways that traditional ETL tools cannot.
Intel Tiber AI Studio is an AI OS, transforming the way enterprises manage, scale and accelerate AI and data science development from research to production. The code-first platform is built by data scientists, for data scientists and offers unrivaled flexibility to run on-premise or cloud. From advanced MLOps to continual learning, cnvrg.io brings top of the line technology to data science teams so they can spend less time on DevOps and focus on the real magic - algorithms. Since using cnvrg.io, teams across industries have gotten more models to production resulting in increased business value.
Snorkel AI started as a research project in the Stanford AI Lab in 2016, where they set out to explore a higher-level interface to machine learning through programmatically labeled and managed training data. From deploying early versions of Snorkel Flow's core technology with some of the world’s leading organizations, to empowering scientists, doctors, and journalists, they’ve seen firsthand how this approach democratizes and accelerates AI. Now, they’re working to bring their technology to everyone.
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