Scaling AI like a tech native: The CEO’s role
Embedding AI across an enterprise to tap its full business value requires shifting from bespoke builds to an industrialized AI factory. MLOps can help, but the CEO must facilitate it.
Embedding AI across an enterprise to tap its full business value requires shifting from bespoke builds to an industrialized AI factory. MLOps can help, but the CEO must facilitate it.
At any given moment, turnaround coordinators for German airline Lufthansa CityLine have their eyes glued to monitors displaying more than half a dozen video feeds of airplanes parked at gates around the airport. Like most industry players, Lufthansa CityLine relies on manual timestamps to understand when each step of the turnaround process starts and ends and uses that manual timestamp data to glean insights on where to make adjustments for faster, leaner turnarounds.
Beijing Academy of Artificial Intelligence (BAAI) developed the largest language model, WuDao 2.0, with 1.75 trillion parameters supporting English and Chinese. Google had earlier claimed the top spot for the largest language model with its Switch Transformer, a 1.6-trillion parameter model, when it introduced its supremacy in January 2021.
Machine learning software advances could help anesthesiologists optimize drug dose.
Learn how AI leaders capture exponential returns and key lessons from their approaches.
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.
Predicting the future based on the past can prove to be challenging, yet strategically beneficial. The following blog post is an introduction to time-series problems & solutions for business cases.
Building forecasts is an integral part of any business, whether it’s revenue, inventory, sales, or customer demand.
Azure Machine Learning Blog