SaaS, open source, and serverless: A winning combination to build and scale new businesses
Three tech approaches can rapidly accelerate business building for established companies that learn how to use them.
Three tech approaches can rapidly accelerate business building for established companies that learn how to use them.
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.
ver the course of the pandemic, businesses have largely—and often successfully—adapted to new ways of working. They’ve also embraced digitization and reorganized their supply chains.
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.
Companies capturing lasting value from artificial intelligence think differently, from the C-suite to the front line. Here’s how to make the shift from opportunistic efforts to a truly AI-enabled organization.
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.