Advanced Analytics

The Machine Learning Times (previously Predictive Analytics Times) is the only full-scale content portal devoted exclusively to predictive analytics. It has become a standard must-read and machine learning professionals’ premier resource, delivering timely, relevant industry-leading articles, videos, events, white papers, and community. In this month’s featured article, Eric Siegel, Ph.D., executive editor of The Machine [...]

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 [...]

McKinsey recently reported that “Most carriers are struggling to meet their cost of capital, and productivity has barely moved over the past decade” and that “The insurance industry is facing a serious structural challenge … the majority of carriers are not making their cost of capital.” Growing productivity by improving operations is an essential ingredient [...]

One of the key benefits of decision management is its focus on operational decisions. Diving into these operational decisions further, you can typically identify several micro-decisions that, when improved, will dramatically affect business performance. “Micro-decisions” are the decisions made transaction by transaction, customer by customer. Companies often fail to recognize these as individual decisions, instead [...]

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 [...]

Ryan Trollip, CTO of Decision Management Solutions, and Charlotte DeKeyrel, one of our experienced decision modeling consultants, and I are all going to be at IBM THINK February 11th – February 14th, 2019 in San Francisco. Ryan and I are speaking on Thursday and you’ll find us at events involving Decision Management and IBM’s decisioning [...]

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 [...]

Frontline Solvers has been in business for over 25 years and focused on democratizing analytics for the last five years. They identify themselves as an alternative to analytic complexity with a focus on leveraging broadly held Excel skills and a large base of trained students. They offer several products for predictive and prescriptive analytics and [...]

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 [...]

We are running our regularly scheduled, and highly reviewed, Decision Modeling with DMN training again December 4-6, 9:30am-11:30am Pacific each time. Decision modeling with the new Decision Model and Notation (DMN) standard is fast becoming the definitive approach for building more effective processes and for specifying requirements for business rules and predictive analytic projects. With decision modeling, [...]

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 [...]

Seth Dobrin wrapped things up to discuss some go to market strategies and client successes. The IBM Data Science Elite Team is a team of experts that IBM offers to customers to help jump start data science and AI initiatives. Specifically they focus on helping new data scientists make the transition from college to corporate. [...]

Shadi Copty discussed one IDE and one runtime for AI and data science across the enterprise as part of IBM’s AI approach. Shadi identified three major trends that are impacting data science and ML: Diversity of skillsets and workflows with demand remaining high and new approaches like deep learning posing additional challenges. IBM: Visual productivity [...]

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 [...]