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According to Gartner, “open source is becoming the backbone for driving digital innovation.” We couldn’t agree more, especially when it comes to data science and machine learning. The key to success with open-source software is careful management.

This report from Gartner explains how to begin tackling open source as an investment and recommends “implementing a robust enterprise governance program” that is driven from the top down. With proper management, open source yields considerable innovation and business value benefits. Read the report for more information on how to get started implementing your own open-source program.

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You already know that implementing an enterprise-ready data science platform is key to executing your organization’s AI and machine learning initiatives. But how can you be sure your implementation runs smoothly?
In this on-demand webinar, Sr. Sales Engineer Victor Ghadban walks you through best practices for ensuring a successful implementation process. Drawing from his extensive experience working with Anaconda Enterprise customers, Victor shares tips and tricks for:
- Defining a clear SOW
- Assembling the right team
- Circumventing cost overruns
- Avoiding disruptions to productivity
- Adopting the platform across the enterprise

Fill out the form to get access the recording.

Gartner, What Innovation Leaders Must Know About Open-Source Software, Arun Chandrasekaran, Mark Driver, 26 August 2019. Gartner does not endorse any vendor, product or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner’s research organization and should not be construed as statements of fact. Gartner disclaims all warranties, express or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose.