According to a recent press release, Gartner says that 70% of organizations will shift their focus from Big Data to Small and Wide Data, providing more context for analytics and making AI less data hungry.
The more data one has, the more likely the chance that the AI-model does not understand its context or causality. Hence, it comes as no surprise that the scenario of ‘bigger is better’ is coming under scrutiny while ‘small is beautiful’ gains traction.
With every big data set used in large AI-projects, a thousand small data sets may go unused. By adding a tool-strategy, the human factor within the man-machine relationship for solving problems will enhance creativity and innovation as humans have more time to think and reflect how to create value.