Intelligent Automation?

Posted on April 9, 2019 by decisionmanagementcommunity

An interesting discussion about Intelligent Automation has taken place at BPM.com. Just one quote: “I still find it difficult to put intelligent and automation together in one sentence without cringing. Even the most advanced commonly used RPA tools are, when you bring it back to the core essence, nothing more than a preprogrammed sequence of actions. When there is something slightly more complicated decision taking required than going left or right in a process model, RPA tools can no longer handle it. Since everything is now becoming intelligent, I do not have high hopes yet for Intelligent Automation (IA)” Link  Continue reading →

Posted in Artificial Intelligence, Business Analytics, Business Processes | Leave a comment

New Challenge “Recreational Fee”

Posted on April 3, 2019 by decisionmanagementcommunity

We’ve just published a simple challenge offered by Ron Ross. A city has created a decision table to determine appropriate usage fees for its recreational facilities based on length of usage and when the usage occurs. The city also has the following behavioral business rule: A senior citizen must not be charged a recreational fee for use of facilities. Send us your models of this problem and we will ask Ron to compare different solutions. Link

Posted in Business Rules, Challenges, Decision Modeling | 3 Comments

Alexa for Insurers

Posted on April 2, 2019 by decisionmanagementcommunity

Alexa, Amazon’s virtual assistant that powers Amazon’s Echo, is a tool insurance companies are using to leverage voice recognition and increase their value to their customers. Liberty Mutual offers its customers the option to use Alexa to get an auto insurance quote estimate through voice interaction with Liberty Mutual’s Guestimator tool. It also offers actionable advice on common home and auto queries. Insurance carrier Aviva uses Alexa to answer questions about insurance and regards Alexa as the future of their customer interactions. Safeco introduced an insurance advisor skill for Alexa, allowing customers to simply ask Alexa around 100 common customer questions about insurance policies. Safeco is also looking to offer customized insurance products directly via Alexa. Source: Insurers Can Benefit from Natural Language Processing produced by SAPIENS.

Posted in Human-Machine Interaction, Insurance Industry, Natural Language Processing | Leave a comment

Grammarly for Developers?

Posted on March 30, 2019 by decisionmanagementcommunity

AI tools for code review and bug patching are getting better and better. A Zurich-based company DeepCode claims that they developed a “Grammarly for developers”, a tool that looks a lot like familiar code vetting apps in use today, and is intended to mesh easily into developer’s “normal, everyday workflow”. Their website shows examples of Java code with automatically generated suggestions for its improvement. An internal analysis shows that DeepCode catches four times more errors than any other tool they tested, without a notably high false-positive rate. Link

Posted in Artificial Intelligence, Java, Trends | Leave a comment

Explaining Decision Optimization Recommendations

Posted on March 30, 2019 by decisionmanagementcommunity

Explainability is a hot topic. Decision models are used to trigger recommendations such as “accept” or “refuse” a loan, but they also need to explain WHY they recommended certain decisions. Alain Chabrier from IBM DecisionOptimization team uses Portfolion Allocation problem to demonstrate how explainability works with Decision Optimization models. Link

Posted in Decision Optimization, Explanations | Leave a comment

Dynamic Questionnaires from Sparkling Logic

Posted on March 26, 2019 by decisionmanagementcommunity

Sparkling Logic introduces Dynamic Questionnaires (DQs) for web applications that collect information for making near real-time decisions based on user responses and business policies. Learn more about the latest Sparkling Logic’s release and register for the upcoming webinar.

Posted in Human-Machine Interaction, Products | 1 Comment

MISMO® Recommends DMN™ Standard

Posted on March 26, 2019 by decisionmanagementcommunity

MISMO, the mortgage industry’s standards organization, recommended the use of the Decision Model and Notation (DMN) standard for documentation, implementation, execution and exchange of business rules and decisions across the mortgage industry. Link

Posted in DMN | Leave a comment

Modeling and Solving Scheduling Problems with CP Optimizer

Posted on March 22, 2019 by decisionmanagementcommunity

The Resource-Constrained Project Scheduling Problem (RCPSP) is a classical problem among the myriad scheduling problems studied both in academia and in industry. Philippe Laborie, a principal scientist at IBM, describes how it can easily be modeled and efficiently solved using the CP Optimizer engine of IBM ILOG CPLEX Optimization Studio. Link

Posted in Decision Optimization, Scheduling and Resource Allocation | Leave a comment

Remembering Egon Balas

Posted on March 20, 2019 by decisionmanagementcommunity

Egon Balas, a pioneer in integer and disjunctive programming, died on March 18, 2019. He was 96. His life included two imprisonments for joining the communist party to oppose the Nazis during World War II. He later became one of the world’s foremost experts in mathematical optimization after joining Carnegie Mellon in 1967. “A beloved member of the CMU faculty for more than half a century, Egon Balas was a preeminent and legendary scholar who was enormously influential in the fields of operations research and applied mathematics“. In 2016 he gave this amazing interview.

Posted in Most Influential | Leave a comment

Google Announced a new Speech Recognizer

Posted on March 18, 2019 by decisionmanagementcommunity

Google has announced the rollout of an end-to-end, all-neural, on-device speech recognizer based on the latest machine learning capabilities. “Our new all-neural, on-device Gboard speech recognizer is initially being launched to all Pixel phones in American English only. Given the trends in the industry, with the convergence of specialized hardware and algorithmic improvements, we are hopeful that the techniques presented here can soon be adopted in more languages and across broader domains of application.” Link

Posted in Human-Machine Interaction, Machine Learning, Natural Language Processing | Leave a comment