"By using SuperAnnotate’s data labeling tools alongside Databricks’ extensive data processing capabilities, we’ve really streamlined how we create and refine our training datasets. It cuts out the need for constant manual data transfers and increases our efficiency. This means we can deliver sharp and contextually relevant advertising to our clients with greater precision."
“With SuperAnnotates AI-powered annotation tools, we can build our datasets in a third of the time compared to the alternatives we tried. Their easy integration with our cloud platform means we can focus on what matters, building cutting-edge logistics solutions faster, not worrying about software integration.”

Arize AI is a machine learning observability platform to help unpack the proverbial AI black box. Their solutions provide ML teams the tools they need to understand whether their models are performing as expected in production and quickly get to the cause behind issues that emerge.
NVIDIA Run:ai accelerates AI and machine learning operations by addressing key infrastructure challenges through dynamic resource allocation, comprehensive AI life-cycle support, and strategic resource management. By pooling resources across environments and utilizing advanced orchestration, NVIDIA Run:ai significantly enhances GPU efficiency and workload capacity. With support for public clouds, private clouds, hybrid environments, or on-premises data centers, NVIDIA Run:ai provides unparalleled flexibility and adaptability.
Pachyderm is an open source data science platform that combines Data Lineage with End-to-End Pipelines on Kubernetes, engineered for the enterprise. And It’s open source. Pachyderm is an enterprise-grade, open source data science platform that makes explainable, repeatable, and scalable ML/AI a reality. Their platform brings together version control for data with the tools to build scalable end-to-end ML/AI pipelines while empowering users to use any language, framework, or tool they want. What makes Pachyderm a natural choice for data science teams is that they can iterate quickly and know that everything is tracked and 100% reproducible.











