Few workloads present such a strong opportunity to transform business operations and customer experience as artificial intelligence does, whether it is predictive or generative AI. With the rise in popularity of generative AI, business and technology leaders have become enamored with its potential. According to research from TechTarget’s Enterprise Strategy Group, 54% of organizations expect to have AI in production or to have begun adoption in 2024.¹

When organizations were asked to identify where they believe a generative AI solution could be most beneficial in the future, customer service (cited by 48% of respondents) was the most common answer.² With a technology as potentially transformational as generative AI, myriad use cases will likely emerge over the coming years. That being said, the creation of chatbots/virtual assistants presents a clear path to near-term return on investment (ROI).

When it comes to infrastructure, IT professionals involved with evaluating and/or managing infrastructure specifically for AI initiatives identified their top considerations (see Figure 1).³ While high-performance compute tops the list (cited by 42%), ease of deployment (39%) and data governance (39%) are tied for close second. In other words, when it comes to generative AI, the creation of virtual assistants is a common first step toward production and a quick path to seeing a positive return. And leveraging an easy-to-deploy, pre-optimized, validated infrastructure that can keep your organization’s data private and on premises should be a priority when it comes to new investment.

^1. Source: Enterprise Strategy Group Complete Survey Results, Beyond the GenAI Hype: Real-world Investments, Use Cases, and Concerns, August 2023.

^2. Ibid.

^3. Source: Enterprise Strategy Group Research Report, Navigating the Evolving AI Infrastructure Landscape, September 2023.