Recent Posts by Davin Fifield

Using modern machine learning (ML) techniques, banks can know with more certainty whether a loan applicant will make their repayments, governments can decide whether a benefit application appears fraudulent, and health insurers can decide what course of treatment a patient should undergo. So where does this leave Oracle Policy Automation (OPA), which is used today to make policy-based decisions in all these industries? As I outlined in Has AI made OPA obsolete? Nope!,...

In Has AI made OPA obsolete? Nope! I explained how Artificial Intelligence (AI) and Oracle Policy Automation complement each other. In this post we explore this further with an overview of how integrating OPA with a chatbot that uses AI Natural Language Processing (NLP) techniques can provide intuitive and rich experiences to your customers. First of all, if you haven’t already, check out Oracle Digital Assistant (formerly Oracle Intelligent Bots). Integrated with Oracle...

Artificial Intelligence is everywhere these days. Many Oracle customers are exploring AI, and some of them ask me “If I have AI do I still need Oracle Policy Automation?” The short answer is that OPA and AI both provide enormous value to any organization, but are very different and, in some cases, complementary. Simply put: AI learns from data to create models that can decide the best action to take. AI is not about hard and fast rules. It is about recognizing and...

Oracle Policy Automation is well known for providing interactive decision-making interviews. But frequently customers want to automate decisions as part of other processes, too. For example, OPA web services can calculate monthly payment amounts, and automate periodic financial account compliance checks. Recently, we made two changes to Oracle Policy Automation to make large scale automated assessments more efficient, and more economical at high volume: A new batch assess...