In this follow on from my last PowerWire article on ActiveMQ, we will be using a Raspberry Pi, with Machine Learning, to take photos of birds feeding in our garden. This part of the series will focus on the ML segment to take a photograph and let machine learning decide what is in it. After that, in my next article, we will send the information over to the IBM i for notification purposes. For ease, and time constraints, we will be using Node-RED to take a picture, then pass that image through to a Machine Learning module to interrogate the photo and decide if there are any birds in there and not the squirrels after their share of the nuts! Node-RED, which also runs on many platforms, including the IBM i, is very easy to use for this type of project.

Crawling target blogs, forums and news sites to extract comments related to a specific product or company and then proceeding to automatically summarize and analyze related sentiment with a view to providing valuable insights in regards to products and services. Finding potential customers using the'About' section found on may web sites Given a list of target company web sites (for example from CrunchBase), a specialized crawler can extract texts from the'About' section, summarize and classify these texts, and then provide insights in order to locate those companies from the list that may be of interest as potential customers by classifying against the'About' section of current customers.