Develop and deliver models faster using your favorite tools and languages without worrying about DevOps, with scalable infrastructure that automatically tracks your work.
Centralized data science infrastructure to run data science workloads in one place, with self-service access to tools and infrastructure, in the cloud or on-prem.
The ability to manage, scale, and accelerate an entire data science discipline increasingly separates successful organizations from those falling victim to hype and disillusionment.
This paper demystifies and elevates the current state of data science management. It identifies best practices to address common struggles around stakeholder alignment, pace of model delivery, and measurement of impact.