The AI landscape is evolving at an unprecedented pace. Ensuring secure access of discreet data-sets to Microsoft Azure with optimal connectivity and consistent performance is imperative to successfully scaling your Co-Pilot AI services on Azure. As your AI implementation with Azure grows to include distributed data sources, it requires an agile network foundation to quickly connect and ingest data that is living outside of Azure today.
This discussion will focus on arming you with the tools and insights to navigate your AI journey with ease.
Seamlessly scaling your AI capabilities to company-wide systems and getting valuable data to public cloud can be a commonly overlooked step in the early stages of developing a scalable AI strategy, yet is critical to developing powerful insights and getting the most from your mission-critical data.
In this session we will review:
- How to align your stated AI outcomes with the right mix of discreet data sets to succeed
- Cost optimized design patterns leveraging Azure & Platform Equinix.
- Reducing risk with AI infrastructure – How to address key security concerns
- Best practices for Azure Open AI and Co-Pilot, Dall-e adoption for everyone
- Supporting AI Deployments for Cloud Native environments
- New adoption for NPU using Equinix fabric.
Next steps: Join us to learn what’s next with the Microsoft AI ecosystem along with insights for Digital Leaders on cutting-edge network designs from Equinix that help you harness the full power and potential of AI. Let’s enable your unique AI framework!
If any of the topics of discussion of are of interest and urgent today, please feel free to reach out and request a custom, joint AI discovery session with Microsoft and Equinix subject matter experts today at: info.microsoft@equinix.com
