Moma inside google что это
Обновлено: 03.07.2024
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A Google employee in Hamburg (photo taken in mid-2007).
Searching Moma
When you perform a search on Moma, you will see a result similar to the following; this screenshot, which was edited by Google to include comments, has been published by the Google Enterprise Blog in a post of theirs in July to show-case the kind of functionality available:
Employee data may also be rendered in different forms. Below is a screenshot we first posted on in February of an internal application called Google Percent:
This service simply shows how many employees are newer than a particular other employee (some areas in the image have been blackened out).
How employees access the intranet
A Google employee can log-in to the intranet from within the office, or with a so-called Virtual Private Network (VPN) connection. This connection comes pre-installed on laptops Google hands out, and can be reached via a desktop icon. A Google employee is required to authenticate their sign-in with account credentials.
Photo by Andrew Hitchcock from July, Creative Commons-licensed (edited for brightness/ contrast).
Unofficial news and tips about Google
From Your MOMA knows best, a great article written by a Xoogler:
"MOMA, Google's intranet, was designed by and for engineers and for the first couple of years, its home page was devoid of any aesthetic enhancements that didn't serve to provide information essential to the operation of Google. It was dense and messy and full of numbers that were hard to parse for the uninitiated, but high in nutritional value for the data hungry.
MOMA displayed latency times, popular search terms, traffic stats for Google-owned properties and, at the center of it all, a large graph with colored lines labeled with the names of Muppet characters. I can't reveal what that graph represented, but if Rizzo or Fozzie started closing the gap with the Great Gonzo, Oscar would not be the only grouch on Sesame Street. (. )
As the company grew, the most useful aspect of MOMA for me was the phone list, which contained the title, email address, IM name, photo, extension and location of everyone on the payroll. The individual's name would be linked to a list of his or her quarterly goals and objectives, so you could understand exactly where your proposed project was likely to fit in their priority list before you even spoke with them.
I came to take it for granted that any information I needed about Google could be found on the intranet, from the status of products in development to the number of employees at any point in the company's history. Ironically, the lack of decent search capability would make some things hard to find in the early days, though Google finally hooked up one of its own search appliances to fix that problem."
MoMA & Machine Learning
Given years of experience and some diligent research, identifying each work of art in an old exhibition photo doesn’t sound so hard, does it? Now imagine you have more than 30,000 photos, dating back to 1929. Google Arts & Culture and MoMA’s Digital Media team set out to face this daunting challenge—or at least get a head start—using machine learning and computer vision technology.
Google Arts & Culture used an algorithm to comb through over 30,000 exhibition photos, looking for matches with the more than 65,000 works in our online collection in. In total, it recognized over 27,000 artworks in these images, and we used those results to create thousands of new links between our exhibition history and online collection.
Now a photo from a 1929 painting exhibition opens a window into an iconic work by Paul Cézanne; a 1965 shot of Robert Rauschenberg prints connects you to those same works in MoMA’s 2017 Rauschenberg retrospective; and one corner of a 2013 design exhibition becomes a portal into poster art across two centuries. While hardly comprehensive, it’s a great start—and a remarkable feat given the sheer volume of information involved.
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