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How to Lead a B2B CX Transformation Program—And Avoid Costly Mistakes

ECXO

It is a comprehensive effort that goes beyond isolated fixes, requiring alignment of leadership, strategy, culture, technology, and processes around the goal of delighting the customer. CX transformation often requires breaking entrenched habits and coordinating across silos, which wont happen without active support from the C-suite.

B2B 339
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Customer Experience Journey Mapping Strategies to Improve Business Performance

InMoment XI

This often stems from poor internal communication, outdated technology, or inefficient processes. Example: A retail company maps out how a customer currently shops on its e-commerce platform and identifies the complex checkout process as an area of improvement to improve the e-commerce customer experience.

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Minimize generative AI hallucinations with Amazon Bedrock Automated Reasoning checks

AWS Machine Learning

Organizations can upload documents like PDFs containing HR guidelines or operational workflows, which are then automatically converted into formal logic structures. The workflow consists of the following steps: Source documents (such as HR guidelines or operational procedures) are uploaded to the system. Upload your source document.

Policies 121
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How Technology Is Improving Customer Service in the Mortgage Industry

CSM Magazine

Thanks to advances in technology, getting a mortgage has never been more streamlined or customer-friendly. Here’s how technology is revolutionizing customer service in the mortgage industry. This technology ensures that customers receive prompt assistance, making the mortgage process feel smoother and more accessible.

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B2B Customer Experience: The Complete Guide

InMoment XI

The company also acts on insights from customer feedback in order to understand improve the skills of its support agents, enabling them to become better at serving PandaDoc customers. Support and service. B2B CX continues to change as companies adapt to new technologies and expectations.

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Generative AI in Contact Centers: The Tech and Use Cases Driving a Revolution in Customer Service

Calabrio

Though its been around since the 1960s , generative AIs power first turned most heads outside the computer science lab when tools like MidJourney and Dall-E emerged with their ability to generate realistic imagery based on text inputs. How can this technology translate into real, impactful improvements for your contact center?

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LLM-as-a-judge on Amazon Bedrock Model Evaluation

AWS Machine Learning

The evaluation of large language model (LLM) performance, particularly in response to a variety of prompts, is crucial for organizations aiming to harness the full potential of this rapidly evolving technology. Both of these fields need to have enough quota to support your Provisioned Throughput model unit.