Cloud covered: What was new in Google Cloud for November

In November here in the U.S., we felt some Thanksgiving
gratitude that there’s never a dull moment in cloud technology.
We’ve been keeping track of what’s new and quickly evolving,
from AI and ML tools to storage and databases. Here are a few of
the highlights from last month in Google Cloud.

There’s a new way to make a Google Doc.

Here’s a new, time-saving (and dare we say, fun?) way to
create a Google Doc when you’ve got to get your ideas down on the
page immediately. Type in doc.new, docs.new or document.new into
your web browser and it’ll bring up a new Google Doc. See how
it works
.

The New York Times uses Google Cloud to digitize its photo
archive.

The New York Times photo archive, nicknamed “the morgue,”
contains more than a hundred years’ worth of photos—five to
seven million in all. The paper built a processing pipeline using
Google Cloud Platform (GCP)
products to digitize, organize and easily search those photos.

See some of the pictures and read more on their plans.

Asia Pacific cloud users can access GCP data faster.

We were excited to announce the
opening of our Hong Kong region
last month, and plans for the
Jakarta region, to bring faster access to GCP data and apps for
users. Locating your company’s data closer to a cloud region
means you can transmit that data faster, with lower network
latency. Find your own location
latency here.

Non-data scientists can now experiment with AI and
ML.

Artificial intelligence (AI) and machine learning (ML) are hot
topics in tech these days—but how do you even start using these
concepts? Our new central AI Hub is now in its first stage of
availability, offering pipelines, modules, and other preconfigured
ML content. Check out real-world examples of AI and ML, like using
data analytics to predict health problems or
predict potential hazardous driving areas in Chicago
.

We put forth our principles for building ethical AI.

AI is a fascinating technology, full of great potential. It’s
also still a technology built by humans, dependent on us to input
data and train models. We’re considering AI principles every step
of the way, and working to eliminate bias from AI models, use AI
for positive results, make sure AI is interpretable by humans, and
helping businesses prepare for a future with more automation built
in.
Find out more about how we’re creating AI ethics at
Google.

We described our microservices vision.

A microservices architecture is one where discrete,
single-purpose software units are the basis to build large,
distributed apps that work in both hybrid and on-prem
situations—especially interesting as businesses continue to run
their IT operations both in their own data centers and with cloud
resources. Using container technology means developers can deploy
new apps faster, and lets developers use that microservices
architecture more easily. The missing piece has been a management
layer.
Read more on how Istio fills the gap
.

For all of what we covered in November, check out the Google Cloud blog.

Source: FS – Social Media Blogs 2
Cloud covered: What was new in Google Cloud for November