The most common interpretation would be the machine's ability to imitate human thought and decision-making processes. On a wider scale, it can also mean decision-making or problem-solving performed by machines. In that context, it refers to the theoretical area of information technology, called machine learning. For example, a mathematical model can be taught to solve a problem by introducing a set of teaching examples, i.e. data. Thus, the computer program is taught to solve the problem without any particular programming. Machine learning is a creative process, as the potential findings and outcomes are not known in advance, or may not even be conceivable.
This spring, Hellon launched an AI solution named AINO, that utilizes machine learning. AINO was created to help organizations to better manage their customer experience. AINO listens to consumers by handling large amounts of customer data and creates a deeper understanding in order to support the decision-making processes. AINO produces an understanding that can be utilized in planning and managing customer experience, such as evaluating investments in the customer experience.
AINO was created for the need to combine the quantitative and qualitative worlds of customer insight to provide a more versatile understanding of service design. Qualitative customer studies have always been at the heart of Hellon's competencies. In-depth interviews and information gathering through various qualitative methods to identify the customer needs can be given as examples of the mentioned studies.