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 [...]
predictive analytic model
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 [...]
Last week we completed the main phase of a proof of concept project at a client, one based in Jakarta Indonesia. After the report out, I tweeted Loving watching a Dr at one of my clients explain (in Bahasa) the decision model for claims handling they built #dmn #decisionmgt Tweets are great for this kind [...]
Open Data Group is an analytic deployment company. The company was started over 10 years ago and has transitioned from consulting to a product company, applying their expertise in Data Science and IT to create an analytic engine, FastScore. Successful analytics require organizational alignment (specifically between Data Science and IT) to create coordination of systems [...]
Equifax has been expanding beyond credit bureau data in recent years by providing better access to a broad range of their own fraud, employment, wealth, commercial and alternative data sources as well as 3rd party data to position themselves as an insights company. As part of this focus, their Decision Management platform, InterConnect, was rebuilt [...]
Predictive analytics is a powerful tool for managing risk, reducing fraud and maximizing customer value. Those already succeeding with predictive analytics are looking for ways to scale and speed up their programs and make predictive analytics pervasive. But they know there is often a huge gap between having analytic insight and deriving business value from it – predictive [...]
I am giving a webinar on Predictive Analytics Deployment to Mainframe or Hadoop with Mike Zeller of Zementis on Thursday, March 3, 2016 11:00:00 AM PST The big challenge for analytics-driven organizations today is closing the gap between deriving an analytic result and getting the ROI. Organizations need a consistent and efficient way to deploy analytic results [...]
My second session at IBM Insight is Hamilton Faris Chief Data and Analytics Officer of MetLIfe – a past customer of ours – talking about Predictive Analytics. MetLife of course is a big insurer with 100M customers in 47 countries. The group Hamilton runs focuses on bringing analytics to the forefront of the decision-making process [...]
I am giving a webinar with Matt Kitching, Senior Data Scientist at Apption at 10am Pacific, May 27 on The Value of Predictive Analytics and How Using Decision Modeling Helps You Succeed Successful predictive analytic projects follow a well defined approach from requirements to modeling, implementation and deployment, embedding the analytic results in operational systems that [...]
Tom Debevoise and I gave a webinar this week on 4 key benefits of using the Business Process Model and Notation (BPMN) and the Decision Model and Notation (DMN) standards. We highlighted the power of these two standards in combination, specifically in terms of: Streamlined processes A combination of process modeling and decision modeling produces simpler [...]
I blogged a little about the tech preview of IBM’s Operational Decision Manager – Advanced product when I was at IMPACT and I recently got a full briefing on the new ODM Advanced release. ODM Advanced has been under development for about 2 years with early access for customers back in late 2013 and technology [...]
As part of working with SAS on their Decision Management initiatives I got to talk with their about their new product – SAS Decision Manager. As part of this I recorded some wrote a product review: SAS Decision Manager delivers more precise, accurate, and traceable decisions into operational processes using analytics and business rules. SAS Decision Manager closes [...]
Brian McDonough has been writing (with Dan Vesset, Steve Hendrick, Henry Morris and others) on Decision Management at IDC for many years and he has recently published an IDC MarketScape: Worldwide Decision Management Software Platform 2014 Vendor Assessment. The report has an IDC MarketScape figure, IDC’s opinion on the Decision Management market, process and software as well as some [...]
The Hurwitz Group just published their Victory Index for Predictive Analytics. This is a great report on the core predictive analytic vendors written by Marcia Kaufman and Daniel Kirsch. The report covers Angoss, IBM, Megaputer, Pegasystems, Predixion, RapidMiner, Revolution Analytics, SAS, SAP, StatSoft. The report aims to assess four things about each vendor: Vision – how good the company’s strategy [...]
Last breakout session at the IBM Big Data and Analytics day in on the Internet of Things and Predictive Asset Maintenance. The IoT is creating new opportunities in all sorts of industries from route optimization to border control, power management in buildings to managing ATM infrastructure. Increasingly organizations want to respond in real-time to things being detected [...]
Zementis, the company behind the ADAPA PMML engine (last reviewed here and a sponsor of our Standards in Predictive Analytics research), has been busy making their technology for deploying models based on the Predictive Model Markup Language or PMML more pervasive. They have launched on the Amazon AWS Marketplace. While they have supported AWS for [...]
SAS® Model Manager is getting an update soon to release 13.1 (I last blogged about Model Manager 3.1). The vision of SAS Model Manager going forward is to streamline the integration of predictive modeling into the overall environment, make it easier to operationalize analytical models, expand the model portfolio management capabilities and improve governance and [...]
RapidMiner today announced a new Platform-as-a-Service offering for deploying and managing predictive analytic models in the cloud. RapidMiner consists of a Studio product for developing analytic models and a Server product that allows for collaboration, batch model execution and interactive dashboards etc. I have blogged about RapidMiner before and the product is in our Decision [...]
SAS is upgrading its in-memory analytics products with SAS® Visual Statistics (forthcoming) and SAS® In-Memory Statistics for Hadoop. SAS In-Memory Statistics for Hadoop is available now and SAS Visual Statistics is going to be shipping in July of 2014. SAS Visual Statistics is based on the SAS® LASR™ Analytic Server for in-memory processing and is [...]
SAP recently summarized their Advanced Analytic solution stack, putting all their various advanced analytic components into a single solution stack. SAP sees advanced analytics as important as being competitive in the future will rely on an ability to leverage all kinds of data. They see Big Data, the Internet of Things, the need for increasingly [...]
