AWS re:Invent 2017 Machine Learning Highlights


Amazon Web Services just announced the services Amazon SageMaker, Amazon Comprehend and Amazon Translate at their 2017 re:Invent conference. These services are about to make huge waves in the Machine Learning world. Discover more details and request a demo from a Relus Cloud Expert below.


Amazon SageMaker is the service that is most likely to change everything. It lowers the bar of entry for development of ML models and allows the deployment of models at scale across a variety of environments (to a device like DeepLens for instance). SageMaker allows developers and data scientists to work with data, build algorithm experiments and visualize output.


Amazon Translate is a service that provides neural machine translation. This service meets the rigor for the future of localization challenges by going beyond rule-based translation algorithms to deliver a more accurate translation that can take into account dialects and nuances found in our everyday language. Translate will be able to deliver these capabilities through its use of ML and Deep Learning (DL).


Amazon Transcribe will quickly become a core building block service for the future of technology interaction as described above. With Transcribe developers can translate standard audio input into text.


Comprehend is a Natural Language Processing (NLP) service. Comprehend can analyze text using ML to extract text for organization and categorization. This is another core building block service of the future. The use case I can’t wait to try is to combine Transcribe and Comprehend to take recordings of our Sales people’s conversations with customers, turn that audio into text, then use comprehend to put the data from those conversations into our capabilities: Migration, Architecture, Data and Analytics, DevOps or Machine Learning.


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