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
Regarded as a luminary at the intersection of technology and business transformation, Steven Dickens is the Vice President and Practice Leader for Hybrid Cloud, Infrastructure, and Operations at The Futurum Group. With a distinguished track record as a Forbes contributor and a ranking among the Top 10 Analysts by ARInsights, Steven's unique vantage point enables him to chart the nexus between emergent technologies and disruptive innovation, offering unparalleled insights for global enterprises.
Steven's expertise spans a broad spectrum of technologies that drive modern enterprises. Notable among these are open source, hybrid cloud, mission-critical infrastructure, cryptocurrencies, blockchain, and FinTech innovation. His work is foundational in aligning the strategic imperatives of C-suite executives with the practical needs of end users and technology practitioners, serving as a catalyst for optimizing the return on technology investments.
Over the years, Steven has been an integral part of industry behemoths including Broadcom, Hewlett Packard Enterprise (HPE), and IBM. His exceptional ability to pioneer multi-hundred-million-dollar products and to lead global sales teams with revenues in the same echelon has consistently demonstrated his capability for high-impact leadership.
Steven serves as a thought leader in various technology consortiums. He was a founding board member and former Chairperson of the Open Mainframe Project, under the aegis of the Linux Foundation. His role as a Board Advisor continues to shape the advocacy for open source implementations of mainframe technologies.
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.
