Researchers Achieve ‘Absurdly Fast’ Algorithm for Network Flow

Maximum Flow

A team of computer scientists has come up with a dramatically faster algorithm for one of the oldest problems in computer science: Maximum Flow. The problem asks how much material can flow through a network from a source to a destination if the links in the network have capacity limits. As an example, imagine a network of highways on which you’d like to send as many delivery trucks as possible from Los Angeles to New York City in a given amount of time. The new algorithm is “absurdly fast,” said Daniel Spielman of Yale University. “I was actually inclined to believe … algorithms this good for this problem would not exist.” Read the whole story that started in the 1950s – it sounds as a thriller – Link

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Artificial Brains: INDUSTRY 4.0 Decision Support Systems

“This document presents a framework for the development of a new type of artificial intelligence more oriented to the decision making, aimed at providing organizations with artificial brains that fulfill functions like those performed in an integrated manner in the human brain. It is about evolving artificial intelligence from “Mental” Intelligence to “Mathematical” Intelligence. We call this Augmented Artificial Intelligence that is the result of the integration of Artificial Intelligence State-of-the-Art (based on biological functioning of the neocortex) and Large-Scale Mathematical Programing (that uses network structures like the neocortex structures).” Link Event

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User-Facing Analytics

There is an increasing need to unleash analytical capabilities directly to the end users to democratize decision making. This “User-Facing Analytics” is a new frontier that will shape the products of tomorrow and push the limits of existing technology. It demands a solution that will scale to millions of users to provide fast, real time insights. This was the primary motivation behind Apache Pinot and is currently being used by big data companies such as LinkedIn, Uber, Stripe, and Walmart to power rich user-facing analytical applications. Apache Pinot is a real-time distributed OLAP datastore, purpose-built to provide ultra low-latency analytics at extremely high throughput. Introduction by Tim Berglund

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Intelligent Business Automation (IBA)

The hype surrounding intelligent business automation is at all-time high. “Intelligent business process automation is the next evolution of BPM. BPM is a way to automate processes, which allows people and companies to be more efficient and effective when getting things done. IBA takes this one step further by leveraging intelligent algorithms that can predict trends and uncover patterns in data to interpret them more accurately than humans could on their own.Link 

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New book by Peter Norvig

Peter Norvig and co-authors have completed a textbook, “Data Science in Context: Foundations, Challenges, Opportunities.” A complete draft is freely available at datascienceincontext.com

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Google I/O 2022: 12 Minutes Summary

On May 11 Google held its annual IO event with lots of product announcements. Most of them were around applied AI that would have been pure science fiction not long ago. Link

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Keynotes at DecisionCAMP and Declarative AI

https://decisioncamp2022.wordpress.com/keynotes/
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Passwordless Sign-Ins

Apple, Google and Microsoft have agreed to support and expand a FIDO/W3C project to let you sign in without passwords, using a key saved on your device. The new capability will allow websites and apps to offer consistent, secure, and easy passwordless sign-ins to consumers across devices and platforms. Link 

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Challenge May-2022 “Medical Claim Processing”

Claim processing is one of the most popular area where rule engines demonstrate their power. In this challenge we ask you to build a decision service that deals with for a typical claim validation issue related to the International Statistical Classification of Diseases and Related Health Problems known as ICD-10. Link

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Bring AI into the Hands of Business Users

That’s exactly what vendors of Digital Decisioning Tools and DM practitioners are successfully doing for the last 20 years. However, having roots in the notorious expert systems, they are careful not to overuse the words “Artificial Intelligence”. They prefer to apply their tools to real-world operational decisioning problems and doing this they actually allow business users to represent and maintain their business logic in a user-friendly way. Being naturally incorporated into modern cloud-based architectures this approach quickly brings practical results. You have a good chance to share your practical experience during DecisionCAMP where the main scheme this year will be

Share your success story by becoming a speaker – see Call for Presentations.

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