Why AI-optimized workflows aren't always best for business

Check out all the on-demand sessions from the Intelligent Security Summit here. Workflow and process inefficiencies can cost up to 40% of a company's annual revenue. In many instances, companies seek to resolve this issue by implementing Artificial Intelligence (AI) scheduling algorithms. This is seen as a beneficial tool for business models that depend on speed and efficiency, such as delivery services and the logistics sector. While AI has certainly helped with some of the time-consuming and often unpredictable tasks associated with scheduling workers across departments, the model is not yet perfect.