GARTNER REPORT: ORGANIZATIONAL BEST PRACTICES FOR SUCCESSFUL AI and ML INITIATIVES 

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If you’re struggling to move your AI and ML projects beyond proof of concept, you’re not alone. According to Gartner, “The scaling and operationalization of artificial intelligence and machine learning are often hindered by nontechnical hurdles.”

This Gartner report focuses on organizational best practices to help move AI and ML projects from pilot to production.

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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, Organizational Best Practices for Successful AI and ML Initiatives, Farhan Choudhary, Arun Chandrasekaran, Pieter den Hamer, 18 February 2020.