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Build a news recommender application with Amazon Personalize

AWS Machine Learning

Delivering personalized news and experiences to readers can help solve this problem, and create more engaging experiences. However, delivering truly personalized recommendations presents several key challenges: Capturing diverse user interests – News can span many topics and even within specific topics, readers can have varied interests.

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How LotteON built a personalized recommendation system using Amazon SageMaker and MLOps

AWS Machine Learning

LotteON aims to be a platform that not only sells products, but also provides a personalized recommendation experience tailored to your preferred lifestyle. The main AWS services used are SageMaker, Amazon EMR , AWS CodeBuild , Amazon Simple Storage Service (Amazon S3), Amazon EventBridge , AWS Lambda , and Amazon API Gateway.

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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

Amp uses machine learning (ML) to provide personalized recommendations for live and upcoming Amp shows on the app’s home page. This is Part 2 of a series on using data analytics and ML for Amp and creating a personalized show recommendation list platform. Sources of the data are the backend services directly serving the app.

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7 Key Benefits of Improving Your Sales Team’s Speed to Lead

Calltools

Prioritizing speed to lead as a metric can further improve those relationships, benefitting your contact center in several ways. Real-Time APIs for Instant Lead Optimization CallTools’ platform lets you connect to diverse APIs so you can prioritize lead optimization in real time.

Sales 52
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Customize Amazon Textract with business-specific documents using Custom Queries

AWS Machine Learning

You can use the adapter for inference by passing the adapter identifier as an additional parameter to the Analyze Document Queries API request. personal or cashier’s checks), financial institution and country (e.g., Adapters can be created via the console or programmatically via the API. MICR line format).

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Q&A recap: crash course in Customer Success and SaaS metrics with Dave Kellogg

ChurnZero

With so many SaaS metrics floating around, and even more opinions on when and how to use them, it can be hard to know if you’re measuring what really matters. Leading SaaS expert, Dave Kellogg, and ChurnZero CEO, You Mon Tsang, sat down to answer all the questions you want to know about SaaS metrics like ARR, NRR, GRR, LTV, and CAC (i.e.,

SaaS 98
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Build a generative AI assistant to enhance employee experience using Amazon Q Business

AWS Machine Learning

Improving employee experience: By deploying Amazon Q Business across various environments like websites, apps, and chatbots, organizations can provide unified, engaging and personalized experiences. The web experience can be created using either the AWS Management Console or the Amazon Q Business APIs.