Semantic Rules & Machine Learning

Dr. Walid Saba discusses the limitations of the data-driven, statistical and machine learning (ML) approaches that are the currently dominant paradigm in the use of natural language processing (NLP) in text analytics. Using very simple examples, he argues that these methods can produce results that are, at best, Probably, Approximately, Correct. Moreover, these methods are not scalable as they require continuous training on massive amounts of data that are often not available. Instead, he argues for a semantic counter-revolution where deep semantic analysis as well as ontological knowledge repositories are employed. Link

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Management Decision Market – Global Forecast to 2026

MarketsAndMarkets just published report “Management Decision Market by Software, Service, Deployment Type, Function, Organization Size, Industry, and Region – Global Forecast to 2026“. The report forecasts the global Management Decision market growing from USD 4.8 Billion in 2021 to USD 9 Billion by 2026, at a CAGR of 13.5% during the forecast period. Link

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Open Source: 1995 expectations and 2021 reality

Benedict Evans wrote on Nov 16: “When I arrived at university in 1995, all the CS students were running Linux, and they were all convinced that Linux would crush Microsoft, open source would destroy proprietary software, no-one would ever run Windows and no-one would ever buy software again. About half of that happened. Open source did take over the tech industry and it’s inside everything we use, but we don’t write our own apps, and in fact SaaS is the return of closed software.

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AI-driven search engine You.com takes on Google

You.com, which bills itself as the world’s first open search engine, announced its public beta launch along with $20 million in funding. “The first page of Google can only be modified by paying for advertisements, which is both annoying to users and costly for companies. Our new platform will enable companies to contribute their most useful actual content to that first page, and — if users like it — they can take an action right then and there. Most companies and partners will prefer this new interface to people’s digital lives over the old status quo of Google.Link You.com

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Stop Confusing Correlation with Causation

Harvard Business Review under the section “Organizational Decision Making” published the article “Leaders: Stop Confusing Correlation with Causation“. It explains how we could eliminate many problems and tons of noise just by recognizing that correlation is not causation. Link

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Operational Decision Managers in CI/CD World

Modern enterprises quickly evolved from monolithic to microservices architectures and CI/CD pipelines become the common practice. Correspondingly different Decisioning Platforms made necessary adjustments to support CI/CD security, continuous integration and delivery/deployment requirements. Here are recent publications devoted to different decision managers in CI/CD environments:

Please provide references to how other decisioning platforms support CI/CD requirements.

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What will solve supply chain shortage and save Christmas?

Pierre Haren wrote at LinkedIn: “For once, today, I will not have an answer but a question. It is about the worldwide supply chain, and the question was asked by David Simchi-Levi, MIT professor on a recent phone call: can we predict when the current supply chain issues will be fixed? I came across two opposite documents yesterday: a piece by Will Douglas Heaven in MIT’s Technology Review (https://lnkd.in/eRUQSHVG ) which quotes Professor Simchi-Levi, and a contrasting piece by an actual truck driver (https://lnkd.in/eDqWfJWQ )… If you have time to read it and you have a suggestion, we would love to hear it. The well-being of lots of people depend on a solution to that gnarly problem.”

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AAAI-22 Workshop on AI for Decision Optimization

The AAAI-22 workshop on AI for Decision Optimization (AI4DO) will explore how AI can be used to significantly simplify the creation of efficient production level optimization models, thereby enabling their much wider application and resulting business value. The desired outcome of this workshop is to drive forward research and seed collaborations in this area by bringing together machine learning and decision-making from the lens of both dynamic and static optimization models. Link

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New intelligent suggestions for formulas and functions in Google Sheets

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Peter Norvig: Today’s Most Pressing Questions in AI Are Human-Centered

Peter Norvig is a well-known name in AI. He co-wrote Artificial Intelligence: A Modern Approach, an introductory textbook used by some 1,500 universities worldwide, and he’s taught hundreds of thousands of students through his courses on online education platform Udacity. In this interview, Peter discusses his move from Google’s Director of Research to Stanford, building a human-focused AI curriculum, and broadening access to education. Link

One way to think of AI is as a process of optimization — finding the course of action, in an uncertain world, that will result in the maximum expected utility. In the past, the interesting questions were around what algorithm is best for doing this optimization. Now that we have a great set of algorithms and tools, the more pressing questions are human-centered: Exactly what do you want to optimize? Whose interests are you serving? Are you being fair to everyone? Is anyone being left out? Is the data you collected inclusive, or is it biased?

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