Lovely article which outlines the basic steps in the "data science" world and its transition to scaleable insights.
Visualizations are not just graphs or charts, but tools which "can be used to highlight the important aspects of a data set or results." At their best, a great visualization can capture complex relationships and enormous volumes of information and distill it into a single image.
If, however, you haven't worked with charts or visualizations all your adult life, it can sometimes be confusing as to what is communicated. Also, there are charts or visualizations which are specific to answering specific types of questions. This website, Vizpedia, gives you an easy "glance" through of the various chart types and explains a little bit about them. There are a number of sites which focus on good design for the infographic or the chart. The Information Is Beautiful Awards site is one of them. That site, however, does not have as much detail as the others about what data source is, or how it was created. Tableau (which is our reporting tool) has the Viz of the Day and a Gallery. Many of the visualizations there can be downloaded along with the dataset. That means you can learn how the visualization was created, as well as explore the actual dataset itself.
There's so much splattered around the news about phrases like "Machine Learning" or "AI" (artificial intelligence) that the future can sometimes feel intrusive and confusing. What gets overlooked is - really - "What is Machine Learning?"
"Machine learning is the science of getting computers to act without being explicitly programmed." At Vizzy Solutions, we don't write the algorithms ourselves, but we do use these tools to get certain tasks done. This article, "Machine Learning, AI and Big Data Tools Open-Sourced By Major Corporations" is a great introduction to some of the AI tools which are "open source" (available for anyone to use). It's a fun article with good hyperlinks to deeper explanations.