The “data” part of the terms “data lake,” “data warehouse,” and “database” is easy enough to understand. Data are everywhere, and the bits need to be kept somewhere. But should they be stored in a data warehouse, a data lake, or an old-fashioned database? It all depends on how that data is going to be used.
Learn how AI leaders capture exponential returns and key lessons from their approaches.
Over the past decade, advances in digital analytics have transformed the way businesses operate. From marketing and pricing to customer service and manufacturing, advanced analytics is now central to many corporate functions. The same, however, cannot be said for strategy—at least not yet.
Have you ever wished you could leap into your favorite cartoon and interact with characters like Bugs Bunny who entertain you onscreen? Welcome to the AT&T Experience Store in Dallas, where a life-size, high-definition Bugs Bunny greets you by name and tells you he needs your help to find several golden carrots hidden throughout the store.
Large-scale data modernization and rapidly evolving data technologies can tie up AI transformations. Five steps give organizations a way to break through the gridlock.
