Decision Automation and Explanations

Prof. Gene Freuder wrote a position paper “Complete Explanations”: “The position taken here is that it can be worthwhile to start with truly complete explanations and abstract and limit from there. The goal is to provide a high-level “big picture” of the problem, in a form readily meaningful to a human user. The hope is that this may, as well, lead to general insights into constraint satisfaction problem structure… We need not just scalable algorithms but effective human-computer interfaces, including visualization tools, that help users grasp the big picture and explore their options.Link

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

REALLY Smart (and Legal!) Contracts

In this article Dan Selman introduces “really” smart legal contracts as well as the Open Source Accord Project. Dan will be among outstanding presenters during the upcoming DecisionCAMP-2018 in Luxembourg on Sep. 17-19.

Posted in Blockchain, Events | Leave a comment

Two months after GDPR

More than 1,000 US news sites are unavailable in Europe, 2 months after the EU’s General Data Protection Regulation (GDPR) took effect on May 25. Websites had two years to get ready for the GDPR. But rather than comply, about a third of the 100 largest U.S. newspapers have instead chosen to block European visitors to their sites. Benedict Evans: “GDPR is such an obvious regulatory own-goal, and such a gift to Google and Facebook

Posted in Trends | Leave a comment

How to Optimally Allocate “Bribe” Money

Tallys Yunes published an Excel-based optimization model that calculates the likelihood that certain agents will perform a given action that benefits you. Link
Below are a few examples: Continue reading

Posted in Business Analytics, Decision Models, Optimization | Leave a comment

Smart Snippets: Semantic Web Comes of Age

On Aug. 3 Forbes published an article “The Semantic Web Comes of Age” by Kurt Cagle. “Beginning in 2017, both Google and Bing announced that they would be supporting the use of embedded smart snippets in web content. A smart snippet is a bit of JSON that uses schema.org tags to identify what a web page contains. Google would read the snippet and create a much more comprehensive record about that page than is done now for SEO searching. Smart snippets would have greater weight in search algorithms, and because such snippets could in fact be fairly complex, it would be possible to describe individual resources within these snippets in machine readable ways.”  Today, schema.org maintains nearly six hundred distinct “smart” types (e.g. Event, MedicalEntity, Organization, Person, LocalBusiness, Restaurant) in areas as diverse as CreativeWork, Book, Movie, Recipe, and much more. Link Continue reading

Posted in Semantic Web, Trends | Leave a comment

Kasparov: Can Artificial Intelligence Make Perfect Decisions?

Can artificial intelligence make perfect decisions? Watch Chess Grandmaster Garry Kasparov discuss this hot topic in AI with FICO Chief Analytics Officer Dr. Scott Zoldi. Link

Posted in Artificial Intelligence | Leave a comment

How to use traditional scorecards and AI together

Which works better for modeling credit risk: traditional scorecards or artificial intelligence and machine learning? Given the excitement around AI today, this question is inevitable. The fact is that traditional scorecard methods and AI bring different advantages to credit risk modeling — if you know how to use them together. FICO shares how its  new credit decisioning solution helps lenders make faster origination decisions without increasing risk. Link

Posted in Business Analytics, Decision Modeling, Machine Learning | Leave a comment