This HBR’s article “What AI-Driven Decision Making Looks Like” discusses the evolution of decision-making. Here are the stages:
- A decision-making model based on human judgement
- Data-supported decision making
- A decision-making that utilizes AI
- A decision-making that combines the power of AI and human judgement Link
Following the initiative of DecisionCAMP-2019, we decided to introduce a Vendor’s Corner where all BR&DM vendors may share their latest news. If you represent a vendor of Business Rules and Decision Management tool, feel free to send your latest news to firstname.lastname@example.org. The news should include: a product/feature image, 1-2 sentences, and a link that describes your latest achievement.
On Oct. 25 Pandu Nayak, Google Fellow and Vice President of Search, published an article “Understanding Searches Better Than Ever Before“. “Search is about understanding language. The latest advancements from our research team in the science of language understanding–made possible by machine learning–we’re making a significant improvement to how we understand queries, representing the biggest leap forward in the past five years, and one of the biggest leaps forward in the history of Search.” Link
In this article Nathan Brixius describes three relationships between optimization and machine learning:
- Optimization as a means for doing machine learning
- Machine learning as a means for doing optimization
- Using the results of machine learning as input data for an optimization model. Link
We’ve just published a new challenge “Numerical Haiku“. Here is an example of a traditional Haiku poem:
(5) The sky is so blue.
(7) The sun is so warm up high.
(5) I love the summer.
A Japanese haiku is a three-line poem with seventeen syllables, written in a 5/7/5 syllable count style. Continue reading
Java 13 is making it easier for you to work with multiline string literals. For example,
Old String New String