Decision Management Solution Blog
AI-Powered Decisions: Shaping the Future of Finance
There are many people who believe we can replace all of this “legacy” decision automation with AI. But the short answer is, you can’t. You still need the systems, but you can (and should) improve them with AI as there’s tremendous value to be unlocked.
Using LLMs / GenAI to Improve Healthcare Communications
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 that call centers regularly provide an explanation of the explanation of benefits!
Operational ML/AI
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 SPEND money on ML/AI, this is where […]
Research ML/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. Generally, its research into an open ended […]
Interface ML/AI
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 recognition, video processing, generative AI/Large Language Models, and sentiment analysis – a wide range […]
Different Ways to Use AI/ML in Operations
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 vague to be really useful for planning purposes. […]
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