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Build a multilingual automatic translation pipeline with Amazon Translate Active Custom Translation

AWS Machine Learning

We used the BLEU (BiLingual Evaluation Understudy) score to benchmark the translation quality between the two methods. If you are interested in learning more about these benchmark analyses, refer to Auto Machine Translation and Synchronization for “Dive into Deep Learning”. Yunfei has a PhD in Electronic and Electrical Engineering.

APIs 96
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3 Ultimate Factors of Business Performance

ClearAction

Is customer engagement, artificial intelligence, digital marketing, predictive analytics, big data, or some other “shiny object” the key to driving business performance? Konika Minolta Australia’s CEO, Dr. David Cooke, said this benchmarking and roadmap “created a sense in us for being far more collaborative.

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A review of purpose-built accelerators for financial services

AWS Machine Learning

The financial services industry (FSI) is no exception to this, and is a well-established producer and consumer of data and analytics. This mostly non-technical post is written for FSI business leader personas such as the chief data officer, chief analytics officer, chief investment officer, head quant, head of research, and head of risk.

Benchmark 102
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25 Call Center Leaders Share the Most Effective Ways to Boost Contact Center Efficiency

Callminer

Source: Human Resource Management; Issue: 51(4); 2012; Pages 535-548. With built-in analytics and reports, managers can track agent performance to improve effectiveness all around. Additionally, call centers can simply increase productivity with small investments in recognition & reward items. Scott Nazareth.

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3 Ultimate Factors of Business Performance

ClearAction

Is customer engagement, artificial intelligence, digital marketing, predictive analytics, big data, or some other “shiny object” the key to driving business performance? Konika Minolta Australia’s CEO, Dr. David Cooke, said this benchmarking and roadmap “created a sense in us for being far more collaborative.

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Machine learning with decentralized training data using federated learning on Amazon SageMaker

AWS Machine Learning

She is also part of the Technical Field Community dedicated to hardware acceleration and helps with testing and benchmarking AWS Inferentia and AWS Trainium workloads. He works with government, non-profit, and education customers on big data, analytical, and AI/ML projects, helping them build solutions using AWS.

Scripts 90
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Contact Center Technologies 2017: find out what 23 experts say

RichCall

Check out what recent reports and experts suggest, and take part in a contact center benchmarking survey to get more accurate data on the current contact center trends. Global Contact Centre Benchmarking Report, Dimension Data 2017. Dimension Data’s 2016 Global Contact Centre Benchmarking Report, © Dimension Data 2013-2016.