Four Predictions for Practical AI

Dr. Scott Zoldi from FICO published his “4 AI Predictions for 2023: From the Great Correction to Practical AI“. He states: “Welcome to the Great Correction. But what might feel like an unmitigated flameout is actually a correction back to normalcy, nowhere more evident than in more realistic approaches to artificial intelligence and its attendant machine learning (ML) models, algorithms and neural networks. I’m calling this new pragmatism Practical AI, and I predict this technology will rise in 2023 like a phoenix from the ashes of years of irrational exuberance around artificial intelligence.” Link

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2022 Gartner Magic Quadrant for Full Life Cycle API Management

Gartner defines the full life cycle application programming interface (API) management market as the market for software that supports all stages of an API’s life cycle — planning and design, implementation and testing, deployment and operation, and versioning and retirement. APIs provide a basis for digital transformation and enable organizations to build business ecosystems, but are challenging to manage and govern. This Magic Quadrant assesses 17 vendors in the fast-evolving full life cycle API management market to help software engineering leaders pick the right one Link

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Business Users vs Programmers

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2022 Gartner Magic Quadrant for Cloud Infrastructures

Gartner has named Amazon Web Services (AWS) a Cloud Infrastructure and Platform Services (CIPS) Leader for the 12th consecutive year. This Magic Quadrant report provides cloud buyers with vendor insights based on Gartner research criteria. AWS placed highest in Ability to Execute among the eight vendors evaluated. Link

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Fred Brooks

Fred Brooks, one of the most outstanding computer scientists of our time, died on Nov. 17. He authored “The Mythical Man Month“, a book that was hugely influential on so many of our readers. His paper “No Silver Bullet” would be on most people’s shortlist of most influential papers.

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AAAI-23 Constraint Programming and Machine Learning Bridge

The AAAI-23 Constraint Programming and Machine Learning Bridge is part of the AAAI-23 Bridge Program. Bringing together CP (Constraint Programming) and ML (Machine Learning) is an important aspect of the larger goal of integrating Reasoning and Learning. Participants are not expected to have prior experience in both fields, but to have familiarity with each at least at the level of an introductory AI course. The Bridge is designed to provide attendees with a better, broader sense of where we are and where we should be going, and an opportunity to brainstorm, discuss, debate and find collaborators. Link AAAI-23

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Challenge Nov-2022 “Crack Padlock Code”

Submit a solution using your favorite tool or just common sense.

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Applying Decision Modeling to High School Geometry

David Wilkinson wrote: “DMN can literally be used to model any decision… including high school geometry. In this post, I model the five conditions that go into deciding whether two triangles are congruent or not. Should DMN be taught to high school students?” Link

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DecisionCAMP-2023 Announcement

DecisionCAMP-2023 will be held in Oslo, Norway on Sep 18-20, 2023. It’s planned as an in-person event with the ability to present and participate online. Please register now to inform the organizers about your intention to present or participate. Link

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Challenge Oct-2022 “Dots and Boxes”

In this challenge you need to build a decision model capable to play the popular game “Dots and Boxes“. Its rules and useful hints can be found in the book “Math Games with Bad Drawings” by Ben Orlin. You may implement different strategies which are handily available in the above book or by searching a web. Alternatively, you may try to create a decision model that learns from its own wins. Link

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