I recently posted over on the Blue Polaris blog talking about how to go beyond the AI Hype with what we call Generative Transformation. You should check out the full post there and, if you like it, follow the Blue Polaris company page on LinkedIn where you can get regular updates as we post new [...]
decision
Wrapping up my series on decision agents, here’s the third post. How AI Agents and Decision Agents Combine Rules & ML in Automation Building Decision Agents with LLMs & Machine Learning Models Designing AI Decision Agents with DMN, Machine Learning & Analytics [this post] The most effective way to define decision agents is using decision [...]
Continuing my series on decision agents, here’s the second post. How AI Agents and Decision Agents Combine Rules & ML in Automation. Building Decision Agents with LLMs & Machine Learning Models [this post] Designing AI Decision Agents with DMN, Machine Learning & Analytics If you are building a sophisticated agentic AI system that is intended [...]
Business automation is being transformed by Agentic AI. Generative AI (Large Language Models – LLMs) and the Agentic AI pattern together create new ways to solve business problems. As you would expect, I am particularly interested in what you might call “decision agents” – agents in an agentic framework specifically focused on automating business decisions. [...]
Along with a bunch of friends and colleagues, I have spent the last few years working on DecisionAutomation.org – a multi-vendor organization dedicated to documenting decision automation best practices. A key focus of this organization has been on how best to use decision modeling with the Decision Model and Notation standard. This matters because OMG, [...]
Business automation is being transformed by AI, specifically Generative AI or Large Language Models (LLMs). More recently, the Agentic AI pattern has gained real traction among those trying to apply LLMs in an enterprise context. Like any new pattern, there’s a ton of hype about Agentic AI but it’s clearly here to stay. I have [...]
As 2024 wraps up, I thought I would share a few thoughts on Artificial Intelligence (AI) in the context of automating your business. It’s been a really interesting year for AI and I suspect 2025 will be more interesting yet. It’s important to remember that AI > Generative AI. Focus on applying the right mix [...]
Gartner has increasingly been discussing Decision Intelligence as a concept, as well as Decision Intelligence Platforms. Recently, they published a Market Guide for Decision Intelligence Platforms, which is highly recommended reading. Decision intelligence platforms combine explicit decision modeling, AI, analytics and related capabilities to support, augment or automate decision making, driving business outcomes. Data and [...]
You may have noticed articles about a chatbot recently that got a little out of line – an airline’s chatbot misstated the rules for a fare class (see The Guardian‘s article or The Washington Post‘s). The airline has, of course, been held accountable for its chatbot – just as it would have been for an [...]
Eric Siegel, author of Predictive Analytics and the Chair of Machine Learning Week, had a great article on Harvard Business Review recently – The AI Hype Cycle Is Distracting Companies. You should read it, as he makes a lot of great points about AI hype and its dangers. One comment, in particular, stood out for [...]
I got a chance to listen to Mike Gualtieri of Forrester talk about his recent Wave report on AI Decisioning Platforms. This focuses in on a core set of vendors and compares them in detail as a follow-up to his earlier AI Decisioning Landscape report (which included Decision Management Solutions with our DecisionsFirst Modeler product). [...]
In March 2023, three U.S. banks failed. This triggered a sharp decline in global bank stock prices and swift response by regulators to prevent potential global contagion. Banks across the US scrambled to respond to the crisis. Join me on May 24th for a discussion on how you can protect your business and be prepared [...]
Our CTO Ryan Trollip is presenting with Scott Horwitz from FICO in a great webinar coming up on April 20th: Insurance claims management is a complex business. Customers want their claims processed and approved quickly. Insurance providers need to manage risk, improve scalability, retain institutional knowledge when staff changes, reduce overhead costs of management, and [...]
I got my hands of a copy of Krishna Pera’s new book, Big Data for Big Decisions recently. I met Krishna several years ago when he published some articles on being decision-driven not data-driven and on why it’s essential to prioritize decisions for your analytic efforts. He’d found some of my articles on being decision-centric [...]
We do a lot of work in insurance and we seem many companies spend heavily automating their claims process. Their intent is to improve their loss ratio – both by reducing losses due to fraud or bad claims and by reducing processing costs. But it often doesn’t make much difference because they are focused on [...]
The folks at CNET posted “Please Get Me a Live Human: Automated Phone Menus Are the Absolute Worst” – just the latest article I have seen on this topic. They make some good points (standard way to get a human, stop talking about changed menu options, don’t suggest the website, call backs etc) but they [...]
I was talking to a customer the other day about a particular decisioning problem they have. There’s an operational decision that they take several thousand times a year. Not a transactional one but a pretty high volume one. Sometimes these decisions have a large financial impact but often they have a smaller one. Today the [...]
Like many of you, I am sure, I am fan of xkcd. After all, any site that is both humorous and has a wiki to explain WHY it’s humorous (explainxkcd.com) must be good. A recent one struck a chord: We do a lot of work with companies that have been investing heavily in digitizing their [...]
I am super-excited to announce that an article I have been working on with Michael Ross has just been published on Harvard Business Review – Managing AI Decision-Making Tools The nature of micro-decisions requires some level of automation, particularly for real-time and higher-volume decisions. Automation is enabled by algorithms (the rules, predictions, constraints, and logic [...]
Don’t jail your logic in code Our friends at Data Decisioning forwarded an article from The Register recently – Inflexible prison software says inmates due for release should be kept locked up behind bars. The basic building blocks of this story is that there is a module calculating release dates for prisoners that was clearly [...]

