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The importance of WebRTC monitoring for enterprises

Spearline

The importance of WebRTC monitoring for enterprises Web Real Time Communications (WebRTC) is transforming the way we communicate online. Enterprises are increasingly finding new ways to use the technology to help them provide the best customer service, as well as improved internal communications.

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Build an Amazon SageMaker Model Registry approval and promotion workflow with human intervention

AWS Machine Learning

The solution uses AWS Lambda , Amazon API Gateway , Amazon EventBridge , and SageMaker to automate the workflow with human approval intervention in the middle. The approver approves the model by following the link in the email to an API Gateway endpoint. API Gateway invokes a Lambda function to initiate model updates.

APIs 100
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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 production-ready generative AI applications for enterprise search using Haystack pipelines and Amazon SageMaker JumpStart with LLMs

AWS Machine Learning

Enterprise search is a critical component of organizational efficiency through document digitization and knowledge management. Enterprise search covers storing documents such as digital files, indexing the documents for search, and providing relevant results based on user queries.

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Revolutionizing large language model training with Arcee and AWS Trainium

AWS Machine Learning

Dataset collection We followed the methodology outlined in the PMC-Llama paper [6] to assemble our dataset, which includes PubMed papers sourced from the Semantic Scholar API and various medical texts cited within the paper, culminating in a comprehensive collection of 88 billion tokens.

APIs 92
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Build well-architected IDP solutions with a custom lens – Part 4: Performance efficiency

AWS Machine Learning

To build an enterprise solution, developer resources, cost, time and user-experience have to be balanced to achieve the desired business outcome. You can save time, money, and labor by implementing classifications in your workflow, and documents go to downstream applications and APIs based on document type.

APIs 94
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Build an image search engine with Amazon Kendra and Amazon Rekognition

AWS Machine Learning

By uploading a small set of training images, Amazon Rekognition automatically loads and inspects the training data, selects the right ML algorithms, trains a model, and provides model performance metrics. For more details on the different metrics such as precision, recall, and F1, refer to Metrics for evaluation your model.