Purpose-Fitting AI Infrastructure for ROI

This white paper discusses the challenges enterprises face in achieving a solid return on investment (ROI) from artificial intelligence (AI) initiatives. It outlines IDC's findings that a significant percentage of AI projects fail to deliver measurable business outcomes, with budget constraints and regulatory uncertainties being key obstacles. The paper emphasizes the importance of purpose-fitting AI infrastructure to specific use cases, detailing factors that influence infrastructure decisions, such as the type of AI model and deployment methods. It presents a framework for organizations to align their AI infrastructure choices with their business needs, highlighting the necessity of involving IT teams in the decision-making process. The paper also examines the variety of approaches businesses take to leverage AI, including finetuning existing models and developing new ones, and discusses the implications of these approaches on infrastructure costs. By understanding these dynamics, enterprises can better manage their AI investments and enhance their potential for achieving ROI.