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How Amp on Amazon used data to increase customer engagement, Part 2: Building a personalized show recommendation platform using Amazon SageMaker

AWS Machine Learning

The platform has shown a 3% boost to customer engagement metrics tracked (liking a show, following a creator, enabling upcoming show notifications) since its launch in May 2022. The independent nature of each individual metric transformation also makes Lambda, which is a stateless service on its own, a good fit for this problem.

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How Amp on Amazon used data to increase customer engagement, Part 1: Building a data analytics platform

AWS Machine Learning

Amp wanted a scalable data and analytics platform to enable easy access to data and perform machine leaning (ML) experiments for live audio transcription, content moderation, feature engineering, and a personal show recommendation service, and to inspect or measure business KPIs and metrics. This post is the first in a two-part series.

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Is Your Organization Ready for the Top Contact Center Trends of 2022?

Playvox

They’ve never known life without the internet and leverage digital technology to communicate, learn, shop, and be entertained. Cloud workforce management systems that provide real-time visibility to key metrics enable supervisors to see what agents are doing and if they’re adhering to schedules.

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What is a good Net Retention Rate in SaaS?

CustomerSuccessBox

Which is the key customer retention metrics to track?- In its first quarter, it always wins from the new marketing agenda, and in the third quarter, it gains from holiday rush agendas. Earlier as they started it was at 22% from international revenues but now at 44% and they started in the global market a bit earlier.

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How Veritone uses Amazon Bedrock, Amazon Rekognition, Amazon Transcribe, and information retrieval to update their video search pipeline

AWS Machine Learning

Growing in the media and entertainment space, Veritone solves media management, broadcast content, and ad tracking issues. Amazon Transcribe The transcription for the entire video is generated using the StartTranscriptionJob API. The metadata generated for each video by the APIs is processed and stored with timestamps.

APIs 90
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How Earth.com and Provectus implemented their MLOps Infrastructure with Amazon SageMaker

AWS Machine Learning

They needed a cloud platform and a strategic partner with proven expertise in delivering production-ready AI/ML solutions, to quickly bring EarthSnap to the market. This step produces an expanded report containing the model’s metrics. Model evaluation – A step SageMaker processing job is run after the final model has been trained.

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Your guide to generative AI and ML at AWS re:Invent 2023

AWS Machine Learning

Talk with AWS experts in 14 different industries and explore industry-specific generative AI use cases, including demos from advertising and marketing, aerospace and satellite, manufacturing, and more. See demos on how to build analytics dashboards and integrations between LLMs and Amazon QuickSight to visualize your key metrics.