Artificial Intelligence, Machine Learning, and Deep Learning
At Reltio, we leverage machine learning in several ways, including:
- Continuously improving consistency, accuracy, and manageability for better data quality (DQ), uncovering patterns, anomaly detection and streamlining data-driven jobs.
- Using data-driven applications to enable a seamless foundation for the generation of relevant insights and contextual recommended actions.
Many do not realize machine learning needs to be applied to your specific business and industry. In order to avoid getting labelled yet another (data) science project with limited value, each business users’ role needs a focused set of benefits in order for it to be accurately measured.
Just as the process of aggregating data to perform historical or predictive analytics is a cumbersome and expensive process, gathering and blending all of the right data that will guarantee machine learning is effective must be the in the DNA of a Self-Learning Enterprise.
Bolting on AI or ML into legacy master data management (MDM) systems, or using such MDM tools to feed downstream, disparate ML tools is a path destined for failure. Reliable data, relevant insights and recommended actions via machine learning needs to be seamlessly combined into one, single cloud application, delivering both analytical intelligence and operational execution.