by James Taylor | Mar 5, 2024 | AI, Decision Automation, Insurance, Machine Learning
The US healthcare system is notoriously complex. One of the ways this complexity shows up is in claims – what gets paid, by whom, when, for what and at what level. While claims are legally required to have an explanation of benefits, this is often opaque – so such so...
by James Taylor | Jul 24, 2023 | AI, Machine Learning
We’ve talked about different kinds of ML/AI in other posts and covered both Interface AI and Research AI. Today we’re talking about operational AI – the most powerful approach to applying ML and AI. If you want to MAKE money from applying ML and AI rather than simply...
by James Taylor | Jul 14, 2023 | AI
I introduced our overall approach to ML/AI and then discussed the role of Interface AI in operations. Research AI is perhaps the most common use case for ML and AI – and the one least likely to generate value. Research AI is all about the insight it generates....
by James Taylor | Jul 7, 2023 | AI, Machine Learning
In the first post in this series, I introduced the different ways ML/AI could be used to improve business operations. Perhaps the most accessible and understandable is what we call Interface AI. Interface AI includes natural language processing, image and handwriting...
by James Taylor | Jun 30, 2023 | AI, Machine Learning
All our customers have tremendous interest in AI and ML – artificial intelligence and machine learning – across every industry and in companies of every size. Yet the very power of the phrase, and the breadth of interest, reveal one of its challenges: The term is too...
by James Taylor | Aug 22, 2022 | AI, Business Intelligence, Business Rules, Decision Automation, Decision Management, Digital Business
COVID-19 accelerated the need for next-generation claims-processing goals. To make these capabilities a reality and create long-term value, insurers should focus on five key areas. Digital natives—millennials and GenZ’ers increasingly expect seamless, omnichannel, and...
