GETTING STARTED WITH DEEP LEARNING IN THE ENTERPRISE

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Deep learning (DL) is a form of artificial intelligence that utilizes neural networks and outperforms traditional machine learning in compute-intensive tasks such as image recognition and natural language processing.

Until quite recently, only behemoths like Amazon or Google could afford to implement deep learning at scale. Today, most any company with a data scientist can get started with deep learning projects. Our white paper discusses the democratization of GPU technology and provides an introduction to how to select the right combination of compute infrastructure, on-prem or in the cloud, for your data science team.

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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.