2019 Survey of Software for Linear Programming

Prof. Robert Fourer, who will be our presenter at DecisionCAMP-2019, just published the results of 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

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

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Optimization and Machine Learning with Excel Online

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

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Why Machine Learning Models Crash And Burn In Production

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

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CP-2019 Workshop on Progress Towards the Holy Grail

Over twenty years ago the paper “In Pursuit of the Holy Grail” 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.  On September 30, 2019, at CP 2019 at Stamford, CT, U.S., Prof. Gene Freuder will run  this workshop that will look at progress towards that goal. Link

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MIT invests $1 billion into a new college of AI

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

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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