Remove customer-experience-blog tag
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Build and train ML models using a data mesh architecture on AWS: Part 2

AWS Machine Learning

The data scientists in this team use Amazon SageMaker to build and train a credit risk prediction model using the shared credit risk data product from the consumer banking LoB. Build and train ML models using a data mesh architecture on AWS. Part 1: Data mesh set up and data product registration. Data exploration.

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Deploy pre-trained models on AWS Wavelength with 5G edge using Amazon SageMaker JumpStart

AWS Machine Learning

As one of the most prominent use cases to date, machine learning (ML) at the edge has allowed enterprises to deploy ML models closer to their end-customers to reduce latency and increase responsiveness of their applications. As our sample workload, we deploy a pre-trained model from Amazon SageMaker JumpStart.

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How BigBasket improved AI-enabled checkout at their physical stores using Amazon SageMaker

AWS Machine Learning

BigBasket serves over 10 million customers. In this post, we discuss how BigBasket used Amazon SageMaker to train their computer vision model for Fast-Moving Consumer Goods (FMCG) product identification, which helped them reduce training time by approximately 50% and save costs by 20%. Log model training metrics.

Training 100
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The Importance of Customer Feedback for the Food Industry

GetFeedback

Your customers want more, so you need to meet and exceed their expectations. But you already know what you need to do: collect customer feedback. Waiting until everything falls into place so that you start collecting customer feedback won’t happen. Improve customer experience . Customer preferences differ.

Feedback 195
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Understanding Negative NPS Score: Causes, Impact and Solutions

Lumoa

You’ve designed your NPS survey and emailed it to all your customers—and the results are in… but not those you were expecting. When it comes to gauging customer sentiment and loyalty, few metrics enjoy such widespread acclaim as the Net Promoter Score (NPS). In this blog post, we’ll answer all these questions and more.

NPS 208
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Efficiently fine-tune the ESM-2 protein language model with Amazon SageMaker

AWS Machine Learning

Similarly, pLMs are pre-trained on large protein sequence databases using unlabeled, self-supervised learning. This means that it can take a long time to train them to sufficient accuracy. Long training times, plus large instances, equals high cost, which can put this work out of reach for many researchers.

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The Growing Role of Artificial Intelligence in the Customer Experience Industry

COPC

Artificial intelligence (AI) is rapidly transforming the customer experience (CX) industry, offering businesses new opportunities to enhance their operations. So, let’s embark on this AI-powered journey together and unlock the true potential of customer experience. Nexcom A/S and COPC Inc. Nexcom A/S and COPC Inc.

Industry 114