DecisionCAMP Starts on July 12

DecisionCAMP-2017 starts on July 12, 2017 at Birkbeck University of London. Based on overwhelming response from DM practitioners worldwide and participation of the major DM authorities, it promises to become the major DM event of the year. See the Program and Presenters.

You already may take a look at drafts of almost all presentations by clicking on the  presentation title from the Schedule page.  Good luck, DecisionCAMP!

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Machine-Learning Identifies Heart Arrhythmia

It might not be long before algorithms routinely save lives—as long as doctors are willing to put ever more trust in machines. A team of researchers at Stanford University, led by Andrew Ng, has shown that a machine-learning model can identify heart arrhythmias from an electrocardiogram (ECG) better than an expert. The automated approach could prove important to everyday medical treatment by making the diagnosis of potentially deadly heartbeat irregularities more reliable. It could also make quality care more readily available in areas where resources are scarce. Read more

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Blockchain Reference Architecture and Decision Models

blockchain.architectureBlockchain technology has the potential to have a major impact on how institutions process transactions and conduct business. Blockchain technology provides a secure transaction ledger database through a decentralized network. It has the potential to reduce operational costs and friction, create transaction records that are secure and immutable, enable transparent ledgers with nearly instant updates, and open up new opportunities for growth. This whitepaper introduces basic blockchain concepts that define a standard reference architecture that can be used in creating blockchain applications. What role can decision models  play within business-oriented blockchains? Continue reading

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In a few years there will be no AI startups

Frank Chen: “I believe that in 2 years, no investor is going to be explicitly looking to fund AI-powered startups. Given that nearly all the startups we see these days are dressing themselves in AI clothes (powered by machine learning! uses the latest RNNs and GANs! post-deep learning architecture!), this might seem counter-intuitive, to say the least. The reason: investors will assume the startup is using the best available AI techniques to solve the problem they are solving.” Read more

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Google’s “AI-first” Strategy

On May 16 Peter Norvig, Research Director at Google, explained Google’s “AI first” vision in his Quora’s answer:  With information retrieval, anything over 80% recall and precision is pretty good—not every suggestion has to be perfect, since the user can ignore the bad suggestions. With assistance, there is a much higher barrier. You wouldn’t use a service that booked the wrong reservation 20% of the time, or even 2% of the time. So an assistant needs to be much more accurate, and thus more intelligent, more aware of the situation. That’s what we call “AI-first.

The most important part of the AI-first strategy is “context” like for all of us involved in real-world decision management.  You may read more in a just published article “AI First with UX” by Mike Loukides. Continue reading

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Decision Modeling Sessions at RuleML+RR 2017

This year DecisionCAMP is again co-located with the RuleML+RR conference devoted to the semantic-technology & business rules. Here are the finalized schedules for both events:
RuleML+RR 2017 Schedule
DecisionCAMP 2017 Schedule

Below is the list of RuleML+RR sessions related to decision modeling: Continue reading

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DMN Interchange in Action

The DMN Standard is already supported by different vendors and it means that real (not theoretical) interchangeability of the same DMN-based business decision models became a reality – see examples at this article. If you attend the RuleML+RR+DecisionCAMP conference in London in July, you will see a live demonstration of how DMN XML decision models can be created using Trisotech or Signavio DMN modelers and then executed by Drools or OpenRules rule engines.

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