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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 [...]

As regular contacts of mine will have noticed, we have a new company name and a new brand Artificial Intelligence (AI) is changing the way companies approach technology, and we are broadening our palette of technologies and services to match. A new name, and a new focus, are required. Blue Polaris will still be helping [...]

There’s huge potential in AI, yet far too many AI projects fail to deliver meaningful business value. The technology works, the team has skills, the data is available – and yet it never comes together. To address this critical issue, Eric Siegel has just published The AI Playbook: Mastering the Rare Art of Machine Learning [...]

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). [...]

It’s that time again – time to take the Rexer Analytics Data Science Survey Rexer Analytics has been conducting this survey since 2007! Each survey explores the analytic behaviors, views, and preferences of data scientists and analytic professionals. This year Karl is working with Eric Siegel and Machine Learning Week to design, promote, and analyze the [...]

Eric Siegel and I had a great discussion about doing Machine Learning BACKWARDS recently – you can watch the recording below or on our YouTube Channel. Eric, if you don’t know, is the founder of Predictive Analytics World, a leading consultant, and author of “Predictive Analytics“. You can also check out Eric’s new Coursera class. This [...]

I recently got together with Irene Lyakovetsky of Saugatuck Worldwide and well known independent analyst Jim Sinur to talk Digital Decisioning. Irene released our talk on her Saugatalk channel as a great series of snippets: Introducing Digital Decisioning and focusing it on operational, transactional decisions Using decision modeling and empowering the business owner Using Low [...]

At Decision Management Solutions we do a lot of work with IBM and an old friend of ours – Harley Davis – just published a nice blog post “How do you best operationalize AI?” We’ve had many conversations on this topic with Harley and his team and it’s no surprise we’re completely aligned on this. [...]

Cassie Kozyrkov – Head of Decision Intelligence at Google- has a great piece on 12 Steps to Applied AI. As usual she’s got lots of great tips. I don’t have anything to add to her more technical steps but I want to add some commentary on Step 0 and Step 1. Let’s start with her [...]

The Decision Management team at Gartner (Rob Dunie , Roy Schulte, Derek Miers , Pieter den Hamer , Paul Vincent , Marc Kerremans and Erick Brethenoux ) have recently published a new paper entitled “Should Your Project Use a Decision Management Suite?” [Gartner subscription required]. It’s a great paper and I strongly recommend it if you have access. The quotes below [...]

Like many of you I am awash in digital photos and have been trying to find a good way to manage them. For various reasons I picked Amazon Photos. One of the key benefits was the family vault – a way to let several people upload photos to a shared space. Of course, another reason [...]

I am speaking with Ryan Trollip, CTO of Decision Management Solutions, and Stephane Mery of IBM on Delivering Excellent Customer Experiences with Analytics and Automation at IBM THINK. Many customers are struggling to deliver consistent digital experiences across customer channels and touch points. Adopting a decision-first approach is a step in the right direction to [...]

I have known Tom for many years and enjoyed his books. He recently sent me a copy of his latest one – The AI Advantage: How to Put the Artificial Intelligence Revolution to Work (Management on the Cutting Edge). Tom does his usual excellent job of introducing a technical topic – AI and machine learning [...]

We’ve blogged recently about some of the challenges in analytics and AI – How More Companies Can Maximize the Potential of Analytics and 80% of insurance carriers aren’t delivering high impact analytics – building on some great McKinsey research. They recently published another article, this time targeted at Chief Analytics Officers – Rebooting analytics leadership: Time to move beyond the [...]

Recently we have posted on the Decision Management Solutions blog about a couple of interesting pieces of McKinsey research that discuss the unfortunate truth – most companies are NOT succeeding with advanced analytics. First, there’s this general research How More Companies Can Maximize the Potential of Analytics: “Senior executives tell [McKinsey] that their companies are struggling to [...]

Cassie Kozyrkov, the Chief Decision Intelligence Engineer at Google wrote an article recently titled  Is your AI project a nonstarter in which she identified 22 check list items for a candidate AI project. It’s a great article and you should definitely read it. In particular you should note the quote at the top: Don’t waste [...]

Daniel Hernandez kicked things off with a discussion of data for AI. AI adoption, IBM says, is accelerating with 94% of companies believing it is important but only 5% are adopting aggressively. To address perceived issues, IBM introduced its ladder to AI Trust based on Automate (ML) based on Analyze (scale insights) based on Organize [...]

IBM is hosting an event on its AI strategy. Rob Thomas kicked off by asserting that all companies need an AI strategy and that getting success out of AI – 81% of projects fail due to data problems – involves a ladder of technology with data at the bottom and AI at the top. It’s [...]