With active users increasing more than 250 per cent in the last year spurred by the broad adoption of Amazon “SageMaker”, Amazon Web Services (AWS) has announced two new Machine Learning (ML) services — Amazon “Transcribe” and Amazon “Translate”.
Amazon “Transcribe” provides grammatically correct transcriptions of audio files to allow audio data to be analyzed, indexed and searched.
Amazon “Translate” provides natural sounding language translation in both real-time and batch scenarios.
These services further extend the language capabilities already provided on AWS with Amazon “Lex” for conversational interfaces, Amazon “Polly” for text-to-speech and Amazon “Comprehend” for processing natural language to discover insights and contextual relationships in text, the company said in a statement on Thursday.
“A lot of companies are talking about the potential of ML and Artificial Intelligence (AI), and thinking about how to incorporate these technologies in their applications,” said Swami Sivasubramanian, Vice President of Machine Learning at AWS.
“AWS changed all this with the introduction of Amazon SageMaker that makes machine learning accessible to everyday developers by eliminating the heavy lifting of building, training, and deploying models,” he added.
With an extensive portfolio of services at all three layers of the technology stack, more customers reference using AWS for ML than any other provider today.