Stop Calling Everything AI

Michael I. Jordan, one of the world’s leading authorities on machine learning: “For the foreseeable future, computers will not be able to match humans in their ability to reason abstractly about real-world situations. We will need well-thought-out interactions of humans and computers to solve our most pressing problems. We need to understand that the intelligent behavior of large-scale systems arises as much from the interactions among agents as from the intelligence of individual agents.Link

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Coding without understanding the basic constructs

Here is the original article: “Google” programmers. How one idiot hired a couple more idiots

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From “Decision Support” to “Reengineering Decision Making”

In Nov-2020, Gartner published a report ‘The Future of Data and Analytics: Reengineering the Decision, 2025’. It stated, “Decision making is becoming more connected, more contextual and more continuous. The current state of decision making is unsustainable. We define reengineering decision making as the fundamental rethinking of business decisions to achieve dramatic improvements in critical, contemporary measures of performance, such as business value, cost, quality, service and speed.” In Oct-2022, Frank Buytendijk from Gartner will present “The Future of Data and Analytics: Reengineering the Decision 2025” that states: “Decisions complexity needs to be mastered. How can you make decision-making a competitive differentiator?” Link

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BBC-2022 Live on June 26-30

Building Business Capability conference (BBC-2022) will take place in person on June 26-30, 2022 in Hollywood, FL. As a member of the DMCommunity you may get 15% discount using the registration code DMCOMMUNITYBBC. Here is a selected list of Rules and Decision Management presentations:

  • Ron Ross. CONCEPT MODELING: SMARTER DATA DESIGN AND MUCH MORE
  • Rachel Olbur. DECISION-CENTRIC DESIGN THINKING
  • Jan Vanthienen. ENLIGHTEN YOUR BIG AND SMALL DECISIONS USING MODELS AND TABLES
  • Ron Ross. RULES & BUSINESS KNOWLEDGE: 7 WAYS TO WORK SMARTER
  • Sridhar Iyengar. ACCELERATING DIGITAL TRANSFORMATION AT A GLOBAL INSURER USING A HYBRID CLOUD AND AI SANDBOX
  • Jacob Feldman. HOW BUSINESS ANALYSTS REPRESENT AND DEBUG COMPLEX DECISION LOGIC
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Digital Decisioning => Decision Intelligence

The term “Decision Intelligence” was popularized in 2019 book “How Decision Intelligence Connects Data, Actions, and Outcomes for a Better World“. Google launched a decision intelligence department. Gartner listed “Decision Intelligence” among the Top Strategic Technology Trends for 2022. Forbes published an article “Is Decision Intelligence The New AI?” promoting the same term. It seems “Decision Intelligence” will soon replace the term “Digital Decisioning” used by many Business Rules and Decision Management vendors and analysts. Link

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2022 is the Year of Prolog

In the summer of 1972, Alain Colmerauer and his team in Marseille developed and implemented the first version of the logic programming language Prolog. Together with Robert Kowalski and his colleagues in Edinburgh, this work laid the practical and theoretical foundations for the Prolog and logic programming of today. The Year of Prolog celebrates the 50th anniversary of these events and highlights the continuing significance of Prolog and Logic Programming both for symbolic, explainable AI, and for computing more generally. Link

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Sometimes it’s Healthy to Break the Rules

There are words of CNN’s Dr. Sanjay Gupta. “Not following rules and letting go might actually make you feel better. Just ask musicians who improvise and make up music on the fly. Dr. Sanjay Gupta talks about his study on musical improvisation and its impact on the brain.” Link

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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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