How to Select an Enterprise Data Science Platform

Operationalizing data science can be tricky. In order to realize the full business value of your data science efforts, you need a platform that allows teams to develop, collaborate, govern and deploy models at scale and with ease. That’s where the right enterprise data science platform comes in.

If you’ve decided your business is ready for an enterprise platform, or if you want to learn if it’s right for you, join us for “How to Select an Enterprise Data Science Platform.” During the webinar, we’ll discuss:

How to determine if your business is ready for a data science platform
What to consider when beginning your search
The differences between platform types
Helpful resources to guide you through the buying process

Meet Our Speaker

Alan McCarty has worn multiple hats at Anaconda since 2015. As Director of Implementation Engineering, he oversees the integration of Anaconda’s Enterprise platform and open source tools in customer environments. His career in application development, big data and data security spans multiple startups, universities, and financial institutions.

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