Building custom language models to supercharge speech-to-text performance for Amazon Transcribe

Favorite Amazon Transcribe is a fully-managed automatic speech recognition service (ASR) that makes it easy to add speech-to-text capabilities to voice-enabled applications. As our service grows, so does the diversity of our customer base, which now spans domains such as insurance, finance, law, real estate, media, hospitality, and more. Naturally,

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Shared by AWS Machine Learning October 1, 2020

Say goodbye to hold music

Favorite Sometimes, a phone call is the best way to get something done. We call retailers to locate missing packages, utilities to adjust our internet speeds, airlines to change our travel itineraries…the list goes on. But more often than not, we need to wait on hold during these calls—listening closely

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Shared by Google AI Technology September 30, 2020

How The Trevor Project continues to support LGBTQ youth

Favorite This September, National Suicide Prevention Awareness Month feels different. Over the past nine months, LGBTQ youth have experienced unique challenges in relation to COVID-19.The pandemic has amplified existing mental health disparities and created new problems that have impacted the daily lives of many LGBTQ youth.  As the world’s largest

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Shared by Google AI Technology September 30, 2020

KM and Covid – an overview (video)

Favorite  Courtesy of Patrick Lambe, please find below my video related to KM and Covid, presented at the ISKO singapore meeting on KM and the Covid Crisis ISKO SG KM and Covid Event – Nick Milton from Patrick Lambe on Vimeo. View Original Source (nickmilton.com) Here.

Running on-demand, serverless Apache Spark data processing jobs using Amazon SageMaker managed Spark containers and the Amazon SageMaker SDK

Favorite Apache Spark is a unified analytics engine for large scale, distributed data processing. Typically, businesses with Spark-based workloads on AWS use their own stack built on top of Amazon Elastic Compute Cloud (Amazon EC2), or Amazon EMR to run and scale Apache Spark, Hive, Presto, and other big data

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Shared by AWS Machine Learning September 30, 2020

How do you know KM is failing?

Favorite How do you know KM is failing in your organisation? This was a question raised yesterday at a workshop I ran a few years back at KM World. FAIL by amboo who? on Flickr Assuming you have introduced KM, embedded it into business processes, and the central KM team

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Shared by Nick Milton September 29, 2020