Regulators are introducing new rules to strengthen operational resilience in the financial services sector. As firms continue to experience disruption from coronavirus, we ask — how can firms quickly implement the new rules and remediate risks?
Robotic Process Automation (RPA) is a method of automating high-volume, rules-based repetitive tasks and business processes. It follows the same rules and steps that a human employee does, but with the ability to scale. At its core, RPA is about creating business efficiencies and it has a wide range of applications.
In recent years, deep learning architectures and algorithms have made impressive advances in the field of natural language processing (NLP). As firms explore how best to apply this technology, they are asking — should we buy, or build?
In this article, we discuss how firms are evolving their application stacks to better integrate enterprise communication flows into their core systems and processes — seeking to unlock new efficiencies and business capabilities by exploiting major advances in Natural Language Processing (NLP).