For the past few years, IT pros have been under tremendous pressure to bring AI into the organization. However, wanting AI is much easier than deploying it. Practitioners need to address scaling, data integrity, hallucination risk, security and access, and other factors before rolling out systems to users. One option is to buy the infrastructure, select the right foundation model, upload the data, train the systems, fine-tune the AI, test it, and roll it out. Another option is to find a vendor that offers an AI platform specific to your industry. Many organizations will choose the first option, but it requires a high level of technical expertise and dedicated IT resources. The latter is better suited to companies with lean IT teams, which is the bulk of organizations today.…