The semantic web refers to the next stage of the world wide web and aims to ascribe semantic meaning to all web content through a collection of systems of classification. This means that, in the future, machines will be able to better understand the content we produce, resulting in better search results, new applications and an Internet that is fundamentally different from the one we use today!
What if each of the objects around you had a unique identifier that can be connected to the Internet? The goal of the Internet of things is to equip all objects in the world with tags that allow them to be digitally organized or manipulated. The implications? Less theft, less waste and the ability to control your surroundings in a manner never before possible.
Conversion optimization is the practice of modifying the parameters of a lead-generating system to stimulate a higher success rate as defined by goals. Most conversion optimization is structured to create an increase in ROI (return on investment).
We frequently use multivariate and A/B split testing when optimizing conversion, wherein we test two or more systems at the same time, analyze their performance and deduce precisely what action items will bring us closest to the set goals in the least amount of time.
In many applications today, there is such a phenomenal quantity of data available that it's difficult to collect and process with traditional database tools. The field of collecting, manipulating and drawing conclusions from massive quantities of data from a particular source is known as big data.
What started as a CMS (content management system) that was only meant to create and edit blog content has grown at a tremendous rate to become the most ubiquitous system for developing websites on the internet. WordPress accounts for an incredible 15% of all sites on the web.
RT @PicardTips: Picard engineering tip: Use the metric system.
3 weeks ago
RT @PicardTips: Picard management tip: Suppress your inner alarm. Be the calmest person in the room.
11 months ago
RT @dakami: i'm not saying everything you need to know about hacking, machine learning, and hacking machine learning is in this photo https…