There are frequent media headlines about both the scarcity of machine learning talent and about the promises of companies claiming their products automate machine learning and eliminate the need for ML expertise altogether. In his keynote at the TensorFlow DevSummit, Google’s head of AI Jeff Dean estimated that there are tens of millions of organizations that have electronic data that could be used for machine learning but lack the necessary expertise and skills. I follow these issues closely since my work at fast.ai focuses on enabling more people to use machine learning and on making it easier to use.
Google’s cloud keeps rising even as its advertising business floats back to earth. The problem is that one weighs a whole lot more than the other.
The second is a bigger theme of consolidation among larger players in part to better compete with the long tail of smaller and more fleet-of-foot fintech companies that have found a lot of traction in this new wave of commerce. While Stripe, Adyen, Google, Apple, Amazon and many of the others may not individually do enough competitive damage against Worldline or Ingenico, their collective presence could.
After a lengthy beta phase, Nvidia is launching its cloud gaming service GeForce Now. Unlike Google’s Stadia, GeForce Now isn’t trying to build a console-like experience with its own lineup of games. Nvidia connects with your Steam, Epic or Battle.net account so you can play games you purchased on those third-party platforms. It works a bit more like Shadow, for instance.
Cofactor is a large, structured listing of people, places, and things. Here you can find the description of each topic.