[Whitepaper] Why machine learning, and why now?
Many of today’s business processes are governed by rigid, software-based rules. This rules-based approach is limited in its ability to tackle complex processes. Further, these processes often require staff to spend time doing repetitive, boring work. If we change the rules and let self-learning algorithms loose on the data, machine learning could reveal valuable new patterns and solutions that we never knew existed. Meanwhile, employees could be reassigned to more engaging and strategic work.
The question is when, not if, today’s data analysis methods become quaint relics of earlier times. This is why organizations must begin experimenting with machine learning now and take the necessary steps to prepare for its widespread use over the coming years.
This document outlines how to develop a strategy that harnesses machine learning that will change the basis of competition within your industry.
Sponsored by: SAP