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Bring AI to Your Data at the Edge
Implementing AI at the edge puts data to work where it is generated, offering numerous benefits such as reduced latency, bandwidth savings, and enhanced response times for applications requiring immediate insights, like autonomous vehicles and industrial IoT. However, challenges at the edge, including differing OT and IT workloads, lack of IT presence, siloed solutions, security concerns, and network connectivity issues, are exacerbated when adding AI to the mix. This necessitates not just having the right AI-enabled infrastructure at the edge, but also a full-stack, end-to-end edge solution that supports virtualization and containerization, automates AI workflow tasks, and manages infrastructure effectively at scale.
Join us to explore new research from MeriTalk, Dell Technologies, and NVIDIA, and discuss how leaders are bringing AI to their data. Discover how modern data infrastructure and edge operations software platforms contribute to robust security, accelerated time to results, and operational efficiency.
Topics include:
- Unlocking business value of AI
- Security and other challenges
- Best practices for automating AI workflows
- Infrastructure to support AI at the edge
- Real-world implementations and results
- Implementation advice
Panelists include:
- Nicholas Brackney, Generative AI Marketing, Dell Technologies
- Chhandomay Mandal, Senior Consultant, Edge Solutions Marketing
- Nicole Burdette [Moderator], Principal, MeriTalk
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