Defining iPhone Rules for Real-Time Events

Posted on June 3, 2019 by decisionmanagementcommunity

The new iPhone’s app called Shortcuts allows you to create a script that can be activated by pressing a button or using Siri. For example, you may say “Hey Siri, I’m getting pulled over.” The shortcut will then pause your music, turn down the brightness, activate Do Not Disturb, and starts recording video via the front-facing camera. You can even send that video to a pre-designated contact.  Link

Posted in Business Rules, Human-Machine Interaction, Reactive Rules, Trends | Leave a comment

Rolando’s Tales from the Rule Trenches

Posted on June 3, 2019 by jacobfeldman

Rolando Hernandez, a highly experienced business rules consultant,  shares his “True Tales from the Trenches“.  Here is a monologue of the decision table from his first tale “A Rule is Born“: “If only someone had tested all the possible combinations of conditions. Dev or The Business would have detected my rule logic errors earlier in my life cycle, before I graduated to Production. And then I would have known exactly what to decide when real-life data was input to my decision service. If only… then I would have made the right sub-decisions and decisions and reached the right final conclusions every time, from day one.” Link

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Forrester’s Mike Gualtieri will be Keynote Speaker at DecisionCAMP and BRAIN-2019 Summit

Posted on May 29, 2019 by decisionmanagementcommunity

BREAKING NEWS: Forrester Research Vice President & Principal Analyst, Mike Gualtieri, will deliver keynote “The Future Of Enterprise AI And Digital Decisions” at DecisionCAMP and other BRAIN-2019 Summit events in Bolzano, Italy, on Sep. 16-19, 2019. Mike will convey the key trends in enterprise AI and rules/decision management; and discuss how leading enterprises can use them in combination to build truly learning AI-infused applications at scale. Link

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2019 Survey of Software for Linear Programming

Posted on May 26, 2019 by decisionmanagementcommunity

Prof. Robert Fourer, who will be our presenter at DecisionCAMP-2019, just published the results of the 2019 Linear Programming (LP) Survey.  LP software can be very effectively used for Decision Optimization problems which deal with minimizing or maximizing business objectives subject to linear equalities and inequalities in numerical decision variables. Link

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The Future of DMN: an interactive discussion at DecisionCAMP-2019

Posted on May 24, 2019 by jacobfeldman

Gary Hallmark, the author of DMN FEEL and a co-chair of the DMN standard committee, will run an interactive discussion “DMN 2.0?” at DecisionCAMP in September.  “In DMN’s 8 year lifespan from RFP to version 1.3, many features, changes and enhancements have been proposed and discussed. Some changes were rejected because they would not be backward compatible. Some enhancements were rejected as being out of scope (too big) or out of spirit (too different). In this presentation, I will briefly discuss some of the top ideas for a future version of DMN”

Posted in Decision Modeling, Standards | Leave a comment

Optimization and Machine Learning with Excel Online

Posted on May 22, 2019 by decisionmanagementcommunity

Frontline Systems has released Analytic Solver® V2019, a SaaS (software as a service) cloud and desktop platform that offers Excel-savvy business analysts point-and-click tools to create predictive and prescriptive analytics models themselves, without needing expert data scientists or programmers. Both  Analytic Solver (simulation and optimization) and Analytic Solver Data Mining (forecasting and machine learning) work in a browser with Excel Online Link

Posted in Decision Optimization, Machine Learning, Products | Leave a comment

Why Machine Learning Models Crash And Burn In Production

Posted on May 21, 2019 by decisionmanagementcommunity

This is the title of the article published by Forbes: “One magical aspect of software is that it just keeps working. If you code a calculator app, it will still correctly add and multiply numbers a month, a year, or 10 years later. The fact that the marginal cost of software approaches zero has been a bedrock of the software industry’s business model since the 1980s.  This is no longer the case when you are deploying machine learning models. Making this faulty assumption is the most common mistake of companies taking their first AI products to market.” Link Continue reading →

Posted in Artificial Intelligence, Machine Learning | Leave a comment

CP-2019 Workshop on Progress Towards the Holy Grail

Posted on May 21, 2019 by jacobfeldman

In 1997 in the paper “In Pursuit of the Holy Grail” Prof. Gene Freuder proposed that Constraint Programming was well-positioned to pursue the Holy Grail of computer science: the user simply states the problem and the computer solves it.  Twenty two year later on September 30, 2019, at CP 2019 at Stamford, CT, U.S., Gene Freuder will run  the workshop that will look at progress towards that goal. Link

Posted in Decision Optimization, Human-Machine Interaction | Leave a comment

MIT invests $1 billion into a new college of AI

Posted on May 20, 2019 by decisionmanagementcommunity

One of the birthplaces of artificial intelligence, MIT, has announced a bold plan to reshape its academic program around the technology. With $1 billion in funding, MIT will create a new college that combines AI, machine learning, and data science with other academic disciplines. It is the largest financial investment in AI by any US academic institution to date. Link

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Real Time Decision Monitoring

Posted on May 19, 2019 by jacobfeldman

The latest release of IBM ODM allows monitoring decision-making in real time. It includes a built-in Decisions dashboard of standard decision metrics such as decisions per second, the number of active rulesets, the number of times a rule or task is executed, and so on. You can also create custom views to get real-time insights about your decisions. For example, for a loan application you could look at the percentage of loan requests your system accepts, and the quality of those requests. Link

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