Remove Benchmark Remove Big data Remove Metrics
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Ground truth curation and metric interpretation best practices for evaluating generative AI question answering using FMEval

AWS Machine Learning

This post focuses on evaluating and interpreting metrics using FMEval for question answering in a generative AI application. FMEval is a comprehensive evaluation suite from Amazon SageMaker Clarify , providing standardized implementations of metrics to assess quality and responsibility. Question Answer Fact Who is Andrew R.

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Transforming the Customer Experience with Big Data

CX Journey

What is big data? Big data" has been defined in many different ways and seems to most often refer to the sheer volume of data, but for the purpose of this article, I''m going to refer to the data sources. Data must be synthesized. big data customer experience data voice of customer'

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Amazon SageMaker built-in LightGBM now offers distributed training using Dask

AWS Machine Learning

The supported data format can be either CSV or Parquet. Extensive benchmarking experiments on three publicly available datasets with various settings are conducted to validate its performance. Distributed training is a technique that allows for the parallel processing of large amounts of data across multiple machines or devices.

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A review of purpose-built accelerators for financial services

AWS Machine Learning

SIMD describes computers with multiple processing elements that perform the same operation on multiple data points simultaneously. SIMT describes processors that are able to operate on data vectors and arrays (as opposed to just scalars), and therefore handle big data workloads efficiently.

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Achieve rapid time-to-value business outcomes with faster ML model training using Amazon SageMaker Canvas

AWS Machine Learning

We estimated these numbers by running benchmark tests on different dataset sizes from 0.5 Under the hood, SageMaker Canvas uses multiple AutoML technologies to automatically build the best ML models for your data. His knowledge ranges from application architecture to big data, analytics, and machine learning.

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5 Top Customer Service Articles for the Week of August 28, 2017

ShepHyken

This guide will discuss important metrics to consider when measuring satisfaction, and how to achieve customer happiness and retention along the way. Ideas like understanding industry benchmarks and using feedback are for everyone. My Comment: Don’t skip this article if you’re not in the contact center world.

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Mastering Escalation Management: Harnessing Tech in Modern Call Centers

NobelBiz

According to Forbes, call center metrics are the data harvested from all the solutions used to operate a call center, such as call center management (CCM) and customer relationship management (CRM) platforms. These data can be organized and analyzed to help better understand what’s happening in the call center .