Google’s Cloud AutoML Vision is a new machine learning service that aims to bring ML to the masses by making it possible to create a machine learning model, even if you have zero ML experience.

The next innovation cycle in machine learning is the emergence of higher-level technologies that are able to exploit the native capabilities of the cloud. ... Cloud Native Machine Learning And AI.

The machine-learning smarts that help Google know what’s in a photo and let Amazon’s Alexa carry on a conversation are getting a real job. “ML” platforms from vendors like Amazon, Google ...

Finally, cloud-based solutions are becoming increasingly popular for machine learning. Cloud platforms offer scalability, flexibility, and cost-effectiveness that on-premises solutions cannot match.

12 capabilities every cloud machine learning platform should provide to support the complete machine learning lifecycle—and which cloud machine learning platforms provide them.

Up to a point, yes: Investors we talked to are giving entrepreneurs their blessing not to give too much thought to cloud spend in their early days. But the rise of machine learning makes us ...

“Sometimes people think about AI as the future, but people are using AI, machine learning and the cloud to become more efficient right now,” he adds. “It’s important to get started.

Just as cloud service providers offer the building blocks of IT – compute, storage and networking – so they are building up a range of artificial intelligence and machine learning models.