WHY IT MATTERS: Digital Transformation

WHY IT MATTERS: a good explanation of the difference between 4 key roles in data science.

WHY IT MATTERS: interesting to see what are the building blocks of AI solutions. A reference to keep.

WHY IT MATTERS: I like the use of technology when it can reduce tedious repetitive tasks. This is a great example. Agile team perform daily standup meetings which are supposed to be quick information sessions to keep everyone abreast of progress and reduce blindspots. They often turn out to be too long and unproductive when people don't follow rules. Zapier development team has leveraged a bot to perform that task and hopefully achieve same results without wasting people's time. I find it an interesting use of technology. 

WHY IT MATTERS: always good to know what others are doing. Here, LinkedIn use of AI. The post has interesting link to LI engineering blog, worth reading.

WHY IT MATTERS: few lines of code is all you need to do things that were considered impossible 5 years ago. With this powerful tool at their finger, expect pretty every website and system to include face detection and other image processing features to be included in the coming years. But few developers will know about the limitations of the technology, especially the biais that may exist in the training data. As in this example, you realize that the "confidence" has not been used in the example, but yet it seems to be an essential information to interpret the results. There will be many many errors due to this in the coming years before the technology really is fool proof.