Analytics Big data Events Metrics 
AWS Machine Learning
FEBRUARY 26, 2024
In this post, we demonstrate a few metrics for online LLM monitoring and their respective architecture for scale using AWS services such as Amazon CloudWatch and AWS Lambda. Overview of solution The first thing to consider is that different metrics require different computation considerations. The function invokes the modules.
AWS Machine Learning
SEPTEMBER 9, 2022
However, as a new product in a new space for Amazon, Amp needed more relevant data to inform their decision-making process. Part 1 shows how data was collected and processed using the data and analytics platform, and Part 2 shows how the data was used to create show recommendations using Amazon SageMaker , a fully managed ML service.
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AWS Machine Learning
SEPTEMBER 9, 2022
Affinities are computed either implicitly from the user’s behavioral data or explicitly from topics of interest (such as pop music, baseball, or politics) as provided in their user profiles. This is Part 2 of a series on using data analytics and ML for Amp and creating a personalized show recommendation list platform.
AWS Machine Learning
FEBRUARY 2, 2023
With advanced analytics derived from machine learning (ML), the NFL is creating new ways to quantify football, and to provide fans with the tools needed to increase their knowledge of the games within the game of football. Using a robust method to accurately model distribution over extreme events is crucial for better overall performance.
AWS Machine Learning
FEBRUARY 15, 2024
With the use of cloud computing, big data and machine learning (ML) tools like Amazon Athena or Amazon SageMaker have become available and useable by anyone without much effort in creation and maintenance. This dilemma hampers the creation of efficient models that use data to generate business-relevant insights.
AWS Machine Learning
MAY 3, 2023
The managed cluster, instances, and containers report metrics to Amazon CloudWatch , including usage of GPU, CPU, memory, GPU memory, disk metrics, and event logging. Worse yet, memory could become an issue, resulting in either poor performance or out of memory events causing the entire job to fail.
CustomerSuccessBox
JUNE 20, 2022
A customer succes software is specialized software that takes the customer data from your existing tech stack to provide you with a 360-degree view of your customers and their account health. In general, this tool offloads the heavy work of tracking and managing all the customer success metrics.
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