AWS Launches Multiple New Machine Learning Services
Amazon’s market-foremost cloud business is commencing a cluster of artificial intelligence tools.
On Wednesday, at the Amazon Web Services re:Invent convention in Las Vegas, AWS CEO Andy Jassy debuted one new AI service after another. The new devices and tools do things such as measure emotional response, track citizens in video feed, and interpret language. It is a move by AWS to get up to speed with its rivals Microsoft and Google, which effectively offer comparative services, as do other cloud suppliers that AWS contends with.
“Our original vision for AWS was to enable any individual in his or her dorm room or garage to have access to the same technology, tools, scale, and cost structure as the largest companies in the world. Our vision for machine learning is no different,” said Swami Sivasubramanian, VP of Machine Learning at AWS. “We want all developers to be able to use machine learning much more expansively and successfully, irrespective of their machine learning skill level. Amazon SageMaker removes a lot of the muck and complexity involved in machine learning to allow developers to easily get started and become competent in building, training, and deploying models.”
This latest Amazon Rekognition Video device can perceive and track individuals’ real-time video feeds, giving it certain points of interest over video recognition tools from cloud rivals Google and Microsoft.
The Amazon Transcribe framework can translate audio recordings of individuals talking into clean text files. The Amazon Comprehend service can get on constructive or pessimistic sentiment and certain individuals, places and phrases in text.
AWS additionally revealed Amazon Translate, a service that interprets one language into another, which Google has given to designers for years. CNBC first revealed that AWS was taking a shot at a translation tool in June.
AWS also announced a service that provides applications which have a deeper understanding of the content which has been entered into it.
“We have to solve the problem of making [AI] accessible for everyday developers and scientists,” Jassy told an audience that exceeded 40,000. These announcements come alongside the new SageMaker service for more easily deploying AI models and a $250 high-definition AI-powered camera.