Small organizations, enterprises, and even governments are struggling to keep up with demand for actionable insights from meaningful information. To enable data-driven policy and practice, they use predictive analytics and machine learning, but the scope of their use is significantly limited.
But why leading public service agencies and even large commercial organizations cannot apply technologies like predictive analytics and machine learning to the full? Are their computational models not mature enough? Well, the answer lies in the readiness of Big Data platforms and the ability to interrogate immense data sets in real-time.
Author: Audrey Pilcher