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Scaling AI Operations: Designing Effective Enterprise Infrastructure

In: AI and the Boardroom

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  • Rohan Sharma

Abstract

Successful AI initiatives are built on a strong foundation of infrastructure and strategic investment. Establishing the right architecture is essential to support AI deployment and ensure that AI solutions are seamlessly integrated into business operations without compromising on performance or security. This chapter explores the critical technology infrastructure needed, from enterprise services and machine learning techniques to robust privacy measures. It also highlights the importance of investing in dedicated AI teams, compute infrastructure, and domain-specific data. As AI scales, integrating with enterprise systems like Salesforce and Azure AD, and harnessing unique task-specific data, becomes crucial to expanding capabilities and achieving meaningful insights. The key takeaway: A holistic AI infrastructure strategy combines advanced technology, specialized human resources, and thoughtful integration across enterprise systems. How well is your infrastructure positioned to support scalable AI innovations and maintain a competitive edge?

Suggested Citation

  • Rohan Sharma, 2024. "Scaling AI Operations: Designing Effective Enterprise Infrastructure," Springer Books, in: AI and the Boardroom, chapter 0, pages 237-245, Springer.
    • Handle: RePEc:spr:sprchp:979-8-8688-0796-1_19
    DOI: 10.1007/979-8-8688-0796-1_19
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