machine learning

Over the years, Decision Management Solutions has helped many leading insurance businesses modernize. We’ve helped them radically improve their claims handling, driving high rates of straight through processing with less fraud and less waste. We’ve helped them improve their top line sales numbers with automated cross-sell/up-sell, Next Best Offer or Next Best Action systems. We’ve worked with [...]

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 [...]

A few months back, Scott Adams posted a great Dilbert that I have been meaning to write about for a while (click on the image to see the original). In the strip, Dilbert says “You don’t go to war with the data you need. You go to war with the data you have.” Now Scott [...]

Working with companies that are investing in becoming analytic enterprises, we have determined that there are three critical success factors. Whether you are focused on business analytics, data mining, predictive analytics, machine learning, artificial intelligence, or all of the above, these factors will be critical. Check out these videos that talk about them: Analytic Enterprises [...]

Gartner recently published a piece “Top 10 Trends in Data and Analytics, 2020” that you can currently get from our friends at ThoughtSpot (registration required). It’s an interesting report you should definitely check out. My favorite section was the one on Decision Intelligence, within which they include the kind of digital decisioning or decision management [...]

COVID-19 is driving a new normal in which resources must be allocated and managed more dynamically.

Some of our old friends at Gartner have just published some great research on Decision Management. Specifically they have extended their work on Decision Management Suites (blogged about here) and focused on How to Choose Your Best-Fit Decision Management Suite Vendor [Gartner subscription or modest fee]. As they say in the intro: Decision management suites [...]

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 [...]

Digital Decisioning: Using Decision Management to Deliver Business Value from AI There is an artificial intelligence (AI) revolution underway in enterprises across the globe as companies continue to adopt predictive analytics, machine learning and other AI across their businesses. This revolution puts managers and executives under enormous pressure to use AI to run their businesses more effectively. How do they do this? Will people lose their jobs?  Most [...]

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 [...]

I blogged last week about IBM’s AI approach and one piece was still under NDA – new capabilities around trust and transparency. These capabilities were announced today. As part of trying to address the challenges of AI, IBM has added a trust and transparency layer to its ladder of AI capabilities (described here). They see [...]

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 [...]

Digital Insurance’s Insurance Analytics and AI event is coming to New York, November 27-28 (new venue and date) Austin September 27-28, 2018. This is going to be a great place to learn how to use analytics, machine learning, data science and AI to modernize your insurance business. I’ll post more as the details firm up but [...]