An excellent question! Although the use cases of AI are many, there might be some scenarios when your business is not prepared to take advantage of artificial intelligence and machine learning solutions. Here are some of the reasons-

a. Data Quantity and Quality - Most AI solutions need vast data for training. If there is a lack of sufficient historical data, it becomes difficult to train the model.

Along with quantity, data quality is equally important. We evaluate and refine your data to determine the feasibility of your project early on in the discovery phase. The data needs to be clean and noise-free for AI model training.

b. Logistics involved in AI - AI implementation requires a great deal of patience to understand the financial investment and overall market landscape. It might sometimes be the case that traditional solutions offer better ROI than AI solutions for specific business use cases.