Analytics APIs Best practices Entertainment 
AWS Machine Learning
SEPTEMBER 9, 2022
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. Business intelligence (BI) and analytics.
AWS Machine Learning
APRIL 18, 2024
When the user is authenticated, the web application establishes a secure GraphQL connection to the AWS AppSync API, and subscribes to receive real-time events such as new calls and call status changes for the meetings list page, and new or updated transcription segments and computed analytics for the meeting details page.
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AWS Machine Learning
JANUARY 26, 2024
The goal of this post is to empower AI and machine learning (ML) engineers, data scientists, solutions architects, security teams, and other stakeholders to have a common mental model and framework to apply security best practices, allowing AI/ML teams to move fast without trading off security for speed.
AWS Machine Learning
SEPTEMBER 9, 2022
This is Part 2 of a series on using data analytics and ML for Amp and creating a personalized show recommendation list platform. Refer to Part 1 to learn how behavioral data was collected and processed using the data and analytics systems. Solution overview. improvement to playback duration. Conclusion.
AWS Machine Learning
FEBRUARY 29, 2024
OpenSearch is a scalable, flexible, and extensible open source software suite for search, analytics, security monitoring, and observability applications, licensed under the Apache 2.0 You can also add data incrementally by importing records using the Amazon Personalize console or API.
CustomerSuccessBox
FEBRUARY 28, 2022
Best practices: Consumption vs subscription. Best Practices: It has its NRR retained at $2B ARR. For the cloud-scale applications, Datadog monitors the servers, tools, databases, and services, with a data analytics platform that is SaaS-based. Best Practices: 1000 customers of all pay $100k +.
AWS Machine Learning
SEPTEMBER 1, 2023
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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