Mini-DecisionCAMP at BBC-2019

Building Business Capability 2019  is the largest annual BR&DM event oriented to business analysts. It will start next week in the Diplomat Beach Resort Hollywood, Ft. Lauderdale, FL, November 11-15. As a member of DMCommunity you may receive 15% discount by entering the code DMCBBC during the online registration. For the first time BBC-2019 will include a mini-DecisionCAMP as a special track on November 14 with the following presentations in the Atlantic Ballroom 1: Continue reading

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Why archaic and cumbersome RFP no longer makes sense

Forrester’s Elaine Hutton just published an article “RIP, RFP — This Is Not Your 1990s Vendor Selection Process” that explains why the RFP (request for proposal) does not satisfy modern digital business needs of innovation and agility and is close to extinction. Link

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Sketch-Based Image Synthesis

Recently, there has been an increase in popularity of artwork generated by computers. The goal of sketch-based image synthesis is to generate some image given the constraint of a sketched object. This allows non-artist users to turn simple black and white drawings into more abstract, detailed art. See how it can be done here. This new article describes an interactive sketch recommendation system which helps the user to draw and interactively generate realistic images. See video

Posted in Art, Artificial Intelligence | 1 Comment

Continuous Delivery for Machine Learning

ThoughtWorks put out an article about Continuous Delivery for Machine Learning: “Machine Learning applications are becoming popular in our industry, however the process for developing, deploying, and continuously improving them is more complex compared to more traditional software, such as a web service or a mobile application. They are subject to change in three axis: the code itself, the model, and the data. Their behaviour is often complex and hard to predict, and they are harder to test, harder to explain, and harder to improve. Continuous Delivery for Machine Learning (CD4ML) is the discipline of bringing Continuous Delivery principles and practices to Machine Learning applications.” Link

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DMN Can Execute Machine Learning Models

Bruce Silver: “The ability to execute machine learning models is a standard feature of DMN.  From the start, the DMN spec said that in addition to the normal value expressions modeled in FEEL, decisions can execute machine learning models packaged using the Predictive Model Markup Language, or PMML. By providing a standard format for a wide range of machine learning model types, PMML enables interchange and interoperability across tools. In this post we’ll see how DMN can be used to make machine learning human-understandableLink

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Six AI Fears on Halloween

It’s Halloween, and if you want to know how scared you should or shouldn’t be about the future of AI, you can read Andrew Ng’s take on 6 AI fears in the Halloween special edition of The Batch! Each fear contains 4 sections:

  • What could go wrong
  • Behind the worries
  • How scared should you be
  • What to do                                                                                                           Link
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Impact of AI on Intellectual Property Law and Policy

The United States Patent and Trademark Office (“USPTO”) is gathering information about the impact of artificial intelligence (“AI”) technologies on the copyright, trademark, and other intellectual property rights. It asks 13 questions like this one: “Should a work produced by an AI algorithm or process, without the involvement of a natural person contributing expression to the resulting work, qualify as a work of authorship protectable under U.S. copyright law?Link

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