Covid-19 and Decision Optimization

Alex Fleischer from IBM ILOG team wrote: “First, decision optimization can help reduce inbalance and help us live with Covid-19. Second, Optimization can help us look for a vaccine or a medicine. Third, Optimization will once we have some vaccine or medicine (as soon as possible I hope) send this pandemics to history. And finally, I will remind that optimization can help healthcare, always, before Cov-19, during Cov-19 and after Cov-19.Link

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Gartner Magic Quadrant for Cloud Platforms

Cloud adoption is the new normal for customers of all industries, sizes, and geographies. The majority of Digital Decisioning vendors today support deployment of decision services on different cloud platforms. The 2020 Gartner Magic Quadrant for Cloud Infrastructure & Platform Services evaluates the major cloud platforms: Link

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Time to deliver a decision optimization model to the business user

Alain Chabrier and Alex Fleischer from IBM Decision Optimization team published the article “Decision Optimization: Speed is not enough”Many tend to think that performance is the holy grail, and the choice of an optimization engine is mostly based on reviewing speed and performance. In practice, this means their engine selection process is reduced to taking the engine which is the fastest to reach and prove optimal solution, on average, on a given set of benchmarking models. This article aims at challenging this idea… While different engines may be twice faster to solve a given model, it is sometimes possible to be ten or hundred times faster with some improvements in the model itself. It’s time to deliver a model to the business user.” Link

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Next DecisionCAMP Monthly Session on Nov. 5

The next DecisionCAMP monthly session “Building lightweight composable process applications using rules + workflow” will be presented by Dipo Majekodunmi, Solution Architect at ProcessMaker Inc., on Nov 5, 2020 at 12:00 PM EST. Join us at Zoom using the invite is published at our Slack’s channel “monthly-sessions”.

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Enhancing Process Management with Process Mining

Max Tay published this article: “Growing numbers of vendors rolling out process mining platforms and its adoption is growing steadily, transitioning from early adopters to becoming one of the latest trendy tools in the industries. It has come out of age and reaching maturity in term of the methods, specialized software functions and applications.” He also added: “The advancement in process mining methods also allow extraction of business rules applied during the execution of the process. In short the possibilities to elicit operational rules and decision models, which may be implicit to the subject matter experts.Link 

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DecisionCAMP Video Channel

You may find many (25) interesting recorded sessions devoted to Decision Management technologies at the DecisionCAMP’s YouTube channel. We started them before DecisionCAMP-2020 in June and now we continue with Monthly Online Sessions. Don’t miss the upcoming mini-events – the next one “Rules+Workflow” is on November 5. Link

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Decision Table Simplification

In response to our Sep-2020 Challenge, Dr. Bob Moore submitted a very interesting analysis of decision table compression/simplification approaches: “Understand what a decision table is for, before thinking about compressing it! There is a trade-off between compression and maintainability. We need to think about how it is likely to evolve over time. If we do not, we may find compressing it creates more problems than it solves.

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Gartner Market Guide for Process Mining

The 2020 Gartner Market Guide for Process Mining was published on Sep 30: “Recent trends in automation and knowledge of the underlying processes/interactions are key to digital transformation. Process mining helps enterprise architecture and technology innovation leaders understand operations and performance in order to create operational resilience.”  Link

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AI and “X”

Walid Saba started an interesting discussion at LinkedIn: It is amazing how the commercialism and the misguided hype have invented AI topics that have nothing to do with AI, only because AI is now a hot commodity. So now you have talks and seminars and NGOs and non-profit orgs (that later secure big funding!!!) under labels such as “Democratizing AI”, “AI and the Environment”, “AI and human rights”, “AI and Ethics”, “AI and Fairness”, … Shouldn’t we have (some) AI before we discuss “AI and X”? Link

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The Decision-Making Side of Machine Learning

Michael I. Jordan is a professor at Berkeley and one of the most influential people in machine learning, statistics, and artificial intelligence. Watch his recent presentation: “Much of the recent focus in machine learning has been on the pattern-recognition side of the field. I will focus instead on the decision-making side, where many fundamental challenges remain. Some are statistical in nature, including the challenges associated with multiple decision-making, and some are algorithmic, including the challenge of coordinated decision-making on distributed platforms.” See also his discussion with Lex Fridman. Continue reading

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