Summary
This guide outlines the top six reasons for purchasing AI services rather than developing them in-house. The first reason is the difficulty in building a talented data science team, which is exacerbated by the competitive market for AI talent and the high costs associated with hiring skilled professionals. Secondly, the time required to develop data science capabilities can exceed two years, making it a lengthy process before any products are operational. Additionally, companies often lack a culture of experimentation necessary for AI development, which contrasts sharply with traditional software development. The fourth point highlights the need for substantial amounts of data to effectively train AI models, which many companies do not possess. The fifth reason addresses the rapid evolution within the AI industry, emphasizing the challenges of keeping pace if building in-house. Lastly, the guide discusses the operational difficulties in maintaining AI systems in production, including the need for specialized staff and resources. Each of these factors illustrates the advantages of opting for established AI vendors.
