article thumbnail

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. But I''ve said before that data are just data until you do something with them.

article thumbnail

How to Best Use Customer Feedback: 3 Ways to Act on Big Data

PeopleMetrics

For all its promise, and all its hype, big data has always had one inherent problem. You see, big data is. And when you're facing something big, you may find it overwhelming. Here are three best practices to help you turn big data into action.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Trending Sources

article thumbnail

Guest Blog: Technology Trends That Will Govern the CX Landscape

ShepHyken

This week we feature an article by Shaista Haque who writes about the top technology trends of 2017 that she believes will disrupt customer experience benchmarks. Shep Hyken. Consistent innovation is the greatest invention for all generations.”.

article thumbnail

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

ShepHyken

Ideas like understanding industry benchmarks and using feedback are for everyone. Antavo) Online eCommerce giants are moving into the offline sphere and we’re seeing more and more innovative solutions based on Big Data. This is a great article from my friends at Fonolo!

article thumbnail

J.D. Power and Tethr collaborate to fuel customer experience insights

Tethr

Power’s leading industry intelligence, data, and benchmarks with the voice of customer insights delivered from Tethr to help organizations explore and pinpoint the specific areas needing attention to improve customer experience. Power is a global leader in consumer insights, advisory services, and data and analytics.

article thumbnail

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.

article thumbnail

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.