Although ai is frequently used as a synonym for automation, the two concepts are distinct. While automation focuses on reducing the workload of certain tasks, artificial intelligence is more focused on transforming and maximizing work to get the highest outcomes.

The difference is in the nature of the work that the tools perform and the method by the manner they perform it. Automation makes use of simple rules to execute tasks, for example, shifting emails into folders that are based on certain criteria (or using a formula in excel). This is typically done with pre-programmed software that is used in business processes such as the execution of tests or creating reports.

AI technologies, on the other hand use neuro-like pathways that are sophisticated to connect data points and to learn from them in ways similar to the way humans operate. Consider Boston Dynamics’ robot Spot. It Enhancing Nonprofit Boardroom Collaboration with Virtual Data Rooms makes use of the information it gathers from its surroundings to continually optimize its capabilities. This is the reason it’s different from traditional automation, and also why its impact on workers will likely be more disruptive in the long run.

AI helps businesses work more efficiently and faster and reduce human error. Its ability to detect patterns, optimize itself and automate repetitive and mundane tasks allows it the ability to handle the repetitive and tedious tasks that employees are not trained for. This allows them to focus on strategic and value-added tasks. This is what’s driving the dramatic productivity gains seen in modern multifamily leasing, with more time being spent on key tasks and improved customer experience.