Data Science Dead in 5 Years or Less?

Posted on July 11, 2018 by decisionmanagementcommunity

Justin B. Dickerson just published an article with the above title (without a question mark): “Did I get your attention? I hope so because we’re facing a significant problem in the data science market that no one is talking about.” Justin shares these 5 observations:

  • DATA SCIENCE != BIG DATA (or at least it doesn’t have to!)
  • DATA SCIENCE != DEEP LEARNING (Okay, it does, but read on……)
  • DATA SCIENCE != SOFTWARE ENGINEERING
  • DATA SCIENCE == THOUGHTFUL ANALYTICS
  • DATA SCIENCE WILL NO LONGER BE A SIX FIGURE PROFESSION IN 5 YEARS
Posted in Data Science, Machine Learning, Trends | Leave a comment

DMN for Clinical Decision Support

Posted on July 7, 2018 by jacobfeldman

Can DMN be used for creating shareable knowledge artifacts for Clinical Decision Support (CDS)? This paper considers different options. “If so, then we can take advantage of many of the DMN tools to author knowledge artifacts and implement CDS services to provide clinicians, staff, patients, or other individuals with knowledge and person-specific information, intelligently filtered or presented at appropriate times, to enhance health and health care.” Link

Posted in Case Studies, DMN, Uncategorized | Leave a comment

12th International Rule Challenge 2018

Posted on July 7, 2018 by decisionmanagementcommunity

During the Logic for AI Summit hosted by the University of Luxembourg in September there will be an International Rule Challenge that seeks to provide competition among innovative rule-oriented applications, aimed at both the research and industrial side. Business Rules Modeling is among the Challenge topics. We encourage all DecisionCAMP-2018 presenters and attendees to participate in the Challenge with an opportunity to win the Challenge Award (EUR 500)! Submit your challenge application by July 31.

Posted in Challenges, Events | Leave a comment

Why Contribute to Open Source?

Posted on July 6, 2018 by decisionmanagementcommunity

This article has interesting points made by a theoretical chemist turned software engineer. “The answer to this question has many facets, but I can almost guarantee that at least one of them will appeal to you. One of the best reasons to contribute to an open source project is that it will almost certainly expose you to new facets of programming you haven’t been exposed to. Another reason why contributing to open source projects is dope: the people. When you contribute to an open source project, you’re getting the opportunity to work with people that are sometimes on the other side of the world. Being exposed to other rhythms can teach you a lot of really useful interpersonal skills while also teaching you how to work remotely.” Link1 Link2

Posted in Misc, Trends | Leave a comment

Get Real!

Posted on July 4, 2018 by decisionmanagementcommunity

Alan Trefler, the founder and CEO of Pegasystems, just published a very articulated article “Get Real!“. Here are a few quotes: “In today’s world of promises and hype, it’s tempting to jump on that bandwagon. But I believe strongly the software industry needs to be clear about what’s puffery vs. what’s real and doable.” Continue reading →

Posted in Artificial Intelligence, Misc | Leave a comment

Challenge July-2018 “Zoo, Buses, and Kids”

Posted on July 3, 2018 by decisionmanagementcommunity

This month we offer a simple decision optimization problem “Zoo, Buses, and Kids” as our July-2018 Challenge. We expect that not only special optimization tools like IBM CP Optimizer but traditional decision modeling tools can be used to solve the problem. Or probably you could solve it without any tools.

Posted in Challenges, Decision Modeling, Decision Optimization | Leave a comment

Can AI build a decision model for you?

Posted on July 2, 2018 by decisionmanagementcommunity

A recent TechRepublic article “Now AI can write code for you” reported that Rice University researchers created an application called BAYOU that uses deep learning to write code for programmers. While the technology is in its infancy, it represents a major breakthrough in using artificial intelligence (AI) for programming software, and can potentially make coding much less time intensive for human developers. Would not it be interesting (and probably easier) to use a similar approach to building decision models for business people? Continue reading →

Posted in Artificial Intelligence, Decision Modeling, Decision Models | Leave a comment

How society might change by 2050

Posted on June 30, 2018 by decisionmanagementcommunity

Prof. Toby Walsh, a well-known expert in constraint programming, published a book “It’s Alive!: Artificial Intelligence From The Logic Piano to Killer Robots“. Here’s how he thinks society might change by 2050 thanks to artificial intelligence:

  • You are banned from driving
  • You see the doctor daily
  • Marilyn Monroe is back in the movies

Continue reading →

Posted in Artificial Intelligence, Trends | 1 Comment

Machine Learning Yearning

Posted on June 27, 2018 by decisionmanagementcommunity

Andrew Ng is regularly updating a draft of his book “ML Yearning“. “Machine learning is the foundation of countless important applications, including web search, email anti-spam, speech recognition, product recommendations, and more. I assume that you or your team is working on a machine learning application, and that you want to make rapid progress. This book will help you do so.” Prerequisites: the first three weeks of videos in the Machine Learning course at http://ml-class.org

Posted in Machine Learning | Leave a comment

NYT Interview with Benjamin Grosof

Posted on June 21, 2018 by decisionmanagementcommunity

New Your Times published an interview with Benjamin Grosof, a leading AI expert and a frequent presenter at RuleML+RR and
DecisionCAMP.  While deep learning comes from the statistical side of AI, the interview brings attention to non-deep learning tools such as Prolog, a programming language that dates to the 1970s and becomes even more important nowadays. It was designed for the reasoning and knowledge representation side of AI, which processes facts and concepts, and tries to complete tasks that are not always well defined. Link

Posted in Artificial Intelligence, Machine Learning, Semantic Web | Leave a comment