900

Of your peers have already watched this video.

2:30 Minutes

The most insightful time you'll spend today!

Case Study

Google’s AutoML Vision Helps AES Fight Climate Change

Global warming is one of the big challenges of our times; if not the biggest challenge of our times, says Andres Gluski, President and CEO, AES, a Fortune 500 company that generates and distributes renewable energy in 15 countries to help end climate change.

AES relies on Google’s AutoML Vision to assess damage to its hundreds of wind turbines. It uses drones to inspect and photograph its turbines, but these drones typically take 30,000 images, and each one must be examined–which can be extremely time-taking.

With Google Cloud’s AutoML Vision, AES can use machine learning to auto-detect damage so that engineers can spend less time identifying damage and more time repairing it.

More Relevant Stories for Your Company

Case Study

Manipal Group: Delivering High-Quality Patient Care with Google Cloud

One of India’s best-known healthcare brands, Manipal Group prides itself on clinical excellence and a patient-centric approach. From humble beginnings in 1953 as a single teaching hospital—the Kasturba Medical College—in a university town in Karnataka, India, Manipal Group has grown to a presence in seven cities in India and operations in Malaysia

E-book

Best Practices for ML Engineering: 43 Rules from the World’s Best

To make great products: do machine learning like the great engineer you are, not like the great machine learning expert you aren’t. Most of the problems you will face are, in fact, engineering problems. Even with all the resources of a great machine learning expert, most of the gains come

Case Study

How the Telegraph is Reimagining Media with Google Cloud

Whether they’re reading the newspaper on the way to work, or catching up on the latest headlines on their smartphones, readers expect up-to-the-minute news wherever and whenever makes the most sense for them. As a result, media companies are increasingly looking for ways to improve, expand, and simplify their offerings,

Explainer

Responsible AI: From Theory to Practice

In less than 10 years, AI will be the number one driver of global GDP growth. And organizations that achieve AI absorption will be the leaders of the global economy. But as fast as AI is progressing, it also requires more care and attention from a responsibility standpoint. A more

SHOW MORE STORIES