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). [...]
AI
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 [...]
COVID-19 is driving a new normal in which resources must be allocated and managed more dynamically.
The new normal of COVID-19 is going to need customer relationships to be built and sustained remotely.
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. [...]
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 [...]
In January of this year, Wired Magazine published an article about a collaboration between The Department of Veterans Affairs (VA) and Google parent Alphabet’s DeepMind unit to create software powered by artificial intelligence that attempts to predict which patients in the intensive care unit (ICU) are likely to develop acute kidney injury (AKI). The article [...]
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 [...]
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 [...]
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. [...]
