Scaling Generative AI in Enterprise IT Operations: Challenges and Opportunities

Authors

  • Sriramaraju Sagi NetApp, USA.  Author

DOI:

https://doi.org/10.47363/JAICC/2024(3)209

Keywords:

Generative AI , Enterprise IT

Abstract

This research paper delves into industries that can benefit from the implementation of AI, such, as IT operations, healthcare, finance and gaming. The potential of AI lies in its ability to enhance customer service create personalized content assist in research endeavors optimize investment strategies and create virtual environments. However businesses often encounter challenges when moving from AI proof of concept to implementation. These challenges involve scalability, integration with existing systems, data governance considerations aligning objectives and meeting requirements. To tackle these concerns head on this paper suggests the utilization of a converged infrastructure platform that combines computing power with network capabilities and storage
resources using NVIDIA GPUs. It recommends evaluating existing AI proof of concepts and providing the infrastructure to transform each concept into an use case. The primary goal of this research study is to explore the process involved in converting AI proof of concepts into use cases while understanding its significance in harnessing AI capabilities, within organizations.

Author Biography

  • Sriramaraju Sagi , NetApp, USA. 

    Sriramaraju Sagi, NetApp, USA. 

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Published

2024-01-20

How to Cite

Scaling Generative AI in Enterprise IT Operations: Challenges and Opportunities. (2024). Journal of Artificial Intelligence & Cloud Computing, 3(1), 1-4. https://doi.org/10.47363/JAICC/2024(3)209

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