Organizations are investing heavily in AI, but they face structural obstacles such as complex infrastructure, limited scalability, high costs, and concerns over data management in the public cloud. As a result, many AI initiatives stall in the pilot phase and fail to deliver sufficient business value. Enterprise Strategy Group (ESG) examined whether a private cloud solution with pre-integrated AI infrastructure, such as HPE Private Cloud AI with NVIDIA, can overcome these barriers, making AI broadly deployable and economically viable. Their insights are detailed in this report.
Analyst Report by Futurum Group: Why Does the Promise of Generative AI Often Go Unfulfilled?
Many organizations launch AI initiatives with enthusiasm but get stuck once they attempt to scale. Costs spiral out of control, infrastructure proves unprepared, and compliance becomes a major hurdle. In practice, Generative AI projects often stall in the pilot phase,...