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, not due to lack of ambition, but because of technological and operational barriers. This report offers insights into what is required to bring Generative AI successfully into production: a foundation that combines scalability, control, data security, and speed.
Analyst Report by Enterprise Strategy Group: The Economic Advantages of Private Cloud vs. Public Cloud
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...