Datanami: Why You Need a Data Science Platform
A less-than-ideal data science workflow is keeping companies from meeting their data science goals. A platform can help.
To truly perform data science at scale, companies need to start moving away from processes that rely on disjointed tools and extensive engineering support. A data science platform can bring everything your team needs together in one place, allowing data scientists to collaborate effectively and deploy models instantly.
In this article, originally published on Datanami, DataScience Vice President of Product Tim Rizzi shares three serious challenges facing data science teams across every industry and how a platform can solve them.