Domino (also spelled dominoes or dominos) is a game of chance played with a set of tiles. Each tile has a line of pips or dots arranged in a square on one face and is blank on the other. The tiles are normally twice as long as they are wide, which facilitates stacking them on each other and re-arranging them. There are many different games that can be played with a domino set. The most popular of these games involve laying down a sequence of tiles, with each player taking turns adding to the layout. The first player to complete a domino pattern scores points. The game may also be played in teams.
Dominoes were invented in China, where they are referred to as
A traditional domino set includes one unique piece for every possible combination of two ends ranging from zero to six, plus a few extras for various uses. The value of a single domino is determined by its suit. A domino that has a six-pip end belongs to the suit of sixes, while a domino with a blank or three-pip end belongs to the suit for threes. A domino can be placed on a tile that already has a number or on a blank tile, in which case it is added to the count of the existing numbers.
The word domino is used as a noun, but also as the name of a company that delivers pizzas and other food items to consumers. The company has a strong focus on innovation and is working hard to make it a global leader in the industry. It has invested heavily in technology and created a space called the Domino’s Innovation Garage where it can collaborate on new ideas that will bring its products to the next level.
In English, Domino’s slogan is “Think golbal, act local.” This strategy appears to be paying off as takeout and delivery services have become the preferred options for many customers during the pandemic. Domino’s has taken advantage of this opportunity by offering a variety of delicious pizzas and other foods to customers in their own homes.
For data science teams, Domino combines all your programming languages, IDEs and data sources in a single platform that is optimized for your workflows. It democratizes your data and tools, enables you to reuse and scale your models, and compounds knowledge across teams to drive greater efficiency and productivity. It also enables you to govern your data and model life cycles to ensure that AI is responsible by default.