Personalization Glossary

At PSYKHE, we're obsessed with the why: Why do we like the things we like? Why does one person like a pair of shoes, a sofa, a travel destination, or a song, while someone else does not? Understanding all the factors that drive individual taste, including personality and psychographic data, enables us to create the world's most sophisticated recommendation engine. After all, you can't personalize without personality. Shaping a stellar recommendation strategy is a big job, so to help you grasp what a complete AI personalization blueprint for your business entails, we've collated definitions related to personalization here.

Hyperautomation

A broad umbrella, hyperautomation combines multiple automation technologies, tools and platforms — such as artificial intelligence (AI), machine learning (ML) and robotic process automation (RPA) — with the aim of automating sophisticated human tasks and streamlining complex business processes. Whereas standard automation usually occurs on a smaller scale, creating solutions that address individual tasks, hyperautomation encompasses multiple automation tools to really scale initiatives. As such, hyperautomation is perfect for maximizing productivity, efficiency, and accuracy within organizations. In addition, by delegating low-value and time-consuming tasks to bots, hyperautomation enables businesses to dedicate their attention to higher-value initiatives, such as understanding customer preferences and enhancing the customer experience.

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