In the continually changing world of computational resources, encompassing cloud computing, hybrid architectural designs, and AI-driven servers that power this new era, commercial enterprises confront an exceptionally broad array of choices. Key stakeholders, including enterprise buyers and other executive decision makers, find themselves meticulously evaluating a wide range of possibilities, from purely cloud-based solutions to co-located hybrid configurations, as well as more traditional on-premises installations. The abundance of options enables organizations to fine-tune their infrastructure to meet their unique operating requirements, but at the same time, choice adds a layer of complexity to the task of sorting out the advantages and disadvantages of each option.
The geographical or digital locations where applications and data reside are increasingly fluid; where data “lives” is no longer restricted to a single fixed point. Instead, data and applications can flourish in multiple locations—on-premises, in the cloud, at the network edge, or some complex combination of all of the above. This reality necessitates a corresponding level of adaptability in an organization’s IT infrastructure to facilitate the dynamic movement and distribution of data across various platforms and locations.
This brief focuses on the options, business opportunities, and IT challenges around generative AI, a rapidly growing technology that requires powerful compute, robust data management protocols, and, in many cases, a broad partner ecosystem. Generative AI presents a distinct set of management, security, and performance requirements, but there are solutions that can meet all those needs.
This brief provides details about:
- The generative AI opportunity for enterprises
- The considerations enterprises need to take to deploy generative AI
- Recommended solution options that address enterprise considerations in deploying generative AI
For enterprises that want compute that meets modern IT needs, HPE ProLiant Gen11 servers provide a cloud operating model, trusted security by design, and performance optimized for specific workloads.
If you are interested in learning more, download your copy of Operationalizing Generative AI: Making It Your Own, Creating Corporate Value report today.
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Author Information
Steven engages with the world’s largest technology brands to explore new operating models and how they drive innovation and competitive edge.
Mark comes to The Futurum Group from Omdia’s Artificial Intelligence practice, where his focus was on natural language and AI use cases.
Previously, Mark worked as a consultant and analyst providing custom and syndicated qualitative market analysis with an emphasis on mobile technology and identifying trends and opportunities for companies like Syniverse and ABI Research. He has been cited by international media outlets including CNBC, The Wall Street Journal, Bloomberg Businessweek, and CNET. Based in Tampa, Florida, Mark is a veteran market research analyst with 25 years of experience interpreting technology business and holds a Bachelor of Science from the University of Florida.
