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Reduce Amazon SageMaker inference cost with AWS Graviton

AWS Machine Learning

We cover computer vision (CV), natural language processing (NLP), classification, and ranking scenarios for models and ml.c6g, ml.c7g, ml.c5, and ml.c6i SageMaker instances for benchmarking. You can use the sample notebook to run the benchmarks and reproduce the results. Mohan Gandhi is a Senior Software Engineer at AWS.

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Moving to the cloud – Call centre tech migrations

Spearline

A recent AVANT “6-12” report focusing on CCaaS notes that the CCaaS market currently accounts for more than $3 billion in global sales. But, many engineering teams have had their fire fighting experiences. One survey notes that responding CIOs indicate their use of on-premise applications dropped by more than 40% in 2021.

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FMOps/LLMOps: Operationalize generative AI and differences with MLOps

AWS Machine Learning

These teams are as follows: Advanced analytics team (data lake and data mesh) – Data engineers are responsible for preparing and ingesting data from multiple sources, building ETL (extract, transform, and load) pipelines to curate and catalog the data, and prepare the necessary historical data for the ML use cases.

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Complete Guide to NPS: The Ultimate Question

ChurnZero

It will help you set benchmarks to get a clear picture of your performance with your customers. A Net Promoter Score (NPS) is a customer satisfaction benchmark that measures how likely your customers are to recommend you to a friend or colleague. Products & Engineering. Let’s start with the basics.

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Philips accelerates development of AI-enabled healthcare solutions with an MLOps platform built on Amazon SageMaker

AWS Machine Learning

With SageMaker MLOps tools, teams can easily train, test, troubleshoot, deploy, and govern ML models at scale to boost productivity of data scientists and ML engineers while maintaining model performance in production. Enable a data science team to manage a family of classic ML models for benchmarking statistics across multiple medical units.

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B2B Customer Journey Touchpoints CS Teams Need To Plan For

Totango

Touchpoints may involve any medium you use to interact with customers, including: Search engine marketing. This may occur through encountering your brand or product through a search engine result, a search engine ad, a social media post, a video, a review on a technology website, word-of-mouth or other means. Blog content.

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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.

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