Learning to Learn

We humans have the unique ability to learn from any situation or surrounding. We adapt our learning. We can figure out how we can learn. To acquire this kind of flexibility in learning, AI needs to have an effective and efficient way to learn about the learning process. The “learning to learn” problem (or Meta-Learning) appeared when technologists are trying to solve the exponential increase in computing power, as AI started to infer from data with increasing complexity. Read more

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How is Java Doing?

“Java has always been the favorite – enterprises talked and still talk Java. Look no further than the Fortune 500 list of companies reliance on it. Yes, Blue Chips love it. The reasons are plenty. The one that enterprises value most is backwards compatibility, being notoriously allergic to radical updates and upgrades. Systems that worked 20 years ago, written in Java 5, should be able to compile and run under version 8. Stability is what matters.” Link

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Reindeer Ordering Rules

It’s a good time to revisit our Christmas Challenge: “Santa always leaves plans for his elves to determine the order in which the reindeer will pull his sleigh…Link

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How Digital Decisioning drives AI and ML Success

James Taylor published an article “How to Succeed with AI & ML in 2020“: “It’s clear that Artificial Intelligence (AI) and Machine Learning (ML) are going to have a huge impact on businesses in the coming years. Yet most companies are still spending money on AI, not making money with it. There is a wide gap between intent or desire to use AI on the one hand and successful deployments to production on the other. If you want to succeed with AI and ML in 2020 you need to add a new phrase to your lexicon – digital decisioning.” Link

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Jim Sinur’s AI Trends for 2020

“The future looks promising after several years of experimenting with AI. It’s not all fantastic and there will be fakes and failures. In fact, there will be high profile fails, but they are unlikely to cause another AI Winter. Even if the fails can be avoided there are significant challenges with explainability and ethical issues. Guidance will have to be applied with wisdom through goal-driven approaches that have sensible guardrails. It’s not a cakewalk, but it will be an emerging careful AI journey for many. Here are my top ten AI trends for 2020.” Link

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UK Student Loan Policy: Model – Execute – Visualize

Decision modeling is a powerful means of representing a business policy in a way which can readily understood by business subject matter experts and – once approved – be directly executed as part of automated decision making within a company. Jan Purchase published a video that demonstrates how UK Student Loan policy can be implemented using DMN and RapidGen. Link

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DecisionCAMP-2020 Announced

DecisionCAMP is the major annual international event oriented to Business Rules and Decision Management practitioners with a strong technical background. In 2020 it will be held on June 29-July 1 in Oslo, Norway. DecisionCAMP-2020 is organized by DMCommunity.org and will be a part of the Declarative AI Conference: Rules, Reasoning, Decisions, and Explanations. If you plan to present, send your abstracts before March 1, 2020 – see Call for Presentations. Link

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