Pointillist

MAY 19, 2020

Top Performing Organizations Succeed with a Data-Driven, Journey-based Approach to Measure and Improve CX “ Successful CX programs require aligning everyone in your organization with your customers’ goals. “ Customer-centric enterprises are realizing the value of approaching CX from a journey-based perspective.

Customer Journeys 94

Customer Journeys Measurement Report Management 94

Lumoa

OCTOBER 31, 2018

We asked 15 experts these three questions to figure out what direction industry is taking: How do you see the future of customer experience? What are, in your opinion, the top challenges in customer experience that companies should be aware of now? Some hints: big data, omnichannel, personalisation, AI and organizational culture.

Customer Experience 160

Customer Experience Customer Centricity Culture Consulting 160

2020 Research

NOVEMBER 22, 2022

First-party data collected through market research provides deeper, more reliable insights. Schlesinger Group recently held a live webinar to share on all things related to first-party data: its value to brands in relation to third-party data, how to collect and leverage it, and why its future is so bright. Audience Q&A.

Data 52

Data Self Service Groups B2B 52

AWS Machine Learning

AUGUST 11, 2022

In real-world data, entities often involve rich relationships with other entities. Because GNNs are still new to the industry, there are limited online resources on converting GNN models from batch serving to real-time serving. The first part is a pipeline that processes the data, trains GNN models, and deploys the trained models.

Training 83

Training e-support Data Examples 83

AWS Machine Learning

MARCH 28, 2024

These generative AI applications are not only used to automate existing business processes, but also have the ability to transform the experience for customers using these applications.

Innovation 110

Innovation Telecommunications System Travel 110

AWS Machine Learning

SEPTEMBER 5, 2023

This way, it prevents the inadvertent sharing of confidential data on public platforms, ensuring the preservation of user privacy and data security. In this post, we introduce a novel method to perform content moderation on image data with multi-modal pre-training and a large language model (LLM).

Policies 93

Policies Training Data User Experience 93

Pointillist

JULY 25, 2018

The approach you take to implement customer journey analytics will make all the difference in the results that you get. In either case, you likely have questions around what use cases to pick, how to create a project team and how to prepare your data. If so, you are not alone. Without further ado, let’s dive in.

Customer Journeys 43

Customer Journeys Analytics How To Metrics 43

Kustomer

APRIL 15, 2021

In this episode, they discover what the research indicates and how leaders can utilize the data to their advantage. Soon after the WHO declared COVID-19 a global pandemic, Matt Dixon and his team of professionals quickly got to work analyzing data from 1,000,000+ customer service calls. Data is voluminous. It is unbiased.

Omni-Channel 92

Omni-Channel Effort Score Contact Center Call Center 92

Kustomer

OCTOBER 15, 2020

Lauren Pragoff, Vice President of Effortless Experience at Challenger , works with other companies to create low effort customer service through preparing their frontline employees. Matt Dixon is the Chief Product and Research Engineer at Tethr , a company that offers customer analytics through an AI-driven conversational system.

Self Service 52

Self Service Management How To Omni-Channel 52

AWS Machine Learning

NOVEMBER 10, 2023

Hyperparameter optimization (HPO) can lead to faster training times, improved model accuracy, and better generalization to new data. Additionally, you need to define which underlying metric fits best for your task and you want to optimize for (such as accuracy, F1 score, or ROC). Train the model with your data.

Metrics 87

Metrics Training Effort Score Strategy 87

AWS Machine Learning

MARCH 1, 2023

This post is co-written with Suhyoung Kim, General Manager at KakaoGames Data Analytics Lab. If we can forecast lifetime value (LTV), we can take a proactive approach. Challenges In this section, we discuss challenges around various data sources, data drift caused by internal or external events, and solution reusability.

Data 87

Data Training Analytics Management 87

AWS Machine Learning

FEBRUARY 5, 2024

HSR.health is a geospatial health risk analytics firm whose vision is that global health challenges are solvable through human ingenuity and the focused and accurate application of data analytics. Predictive modeling using historical geospatial data allows organizations to identify and prepare for potential future events.

Healthcare 82

Healthcare Analysis Analytics Data 82