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Guest Post: 2023 Top 5 Unified Communications Predictions

ShepHyken

They share their top 5 unified communications predictions for 2023. 2023 will be all about customer lifecycle management (CLM). Organizations will need a communications provider who evolves with them – a trusted partner who leverages their expertise and analytics to guide them toward the right solutions today and in the future.

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Guest Post: Your Guide To Building Customer Loyalty in 2023 (With Tools)

ShepHyken

In 2023, businesses face unique challenges in understanding and retaining their customer base. In this piece, we will help you navigate the intricacies of building customer loyalty and how to use unconventional tools and technology to achieve success. You can also gain valuable insights from the built-in analytics.

CRM 164
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100+ Customer Experience Stats to Prepare for 2023

CCNG

(Gartner, 2022) Over 50% of CX professionals say their organization is planning to use predictive analytics and artificial intelligence ‘somewhat’ or ‘significantly’ more than they were doing so last year. 44% of respondents’ organizations plan to use journey analytics more, as well.

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New year, new CS: 2023 recap and what’s to come in 2024

Totango

Our customers achieved impressive outcomes in 2023 and leveraged critical Totango functionality to prevent churn, increase revenue growth, and boost team productivity—downloading 1,737 SuccessBLOCs, delivering 40 million emails, and creating 110,184 workflows. Plus, industry experts agree.

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CX Trends to Watch for in 2023

Real Blue Sky

As we move into 2023, reflecting upon the last few years is essential. These years have helped shape the CX trends you can anticipate for 2023 and beyond. These years have helped shape the CX trends you can anticipate for 2023 and beyond. Having a sudden craving for Krispy Kreme? Who hasn’t, right? Meticulous Data Security.

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Build a video insights and summarization engine using generative AI with Amazon Bedrock

AWS Machine Learning

These insights are stored in a central repository, unlocking the ability for analytics teams to have a single view of interactions and use the data to formulate better sales and support strategies. All of these could save effort and time, enabling you to focus more on value-added activities.

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Streamline RAG applications with intelligent metadata filtering using Amazon Bedrock

AWS Machine Learning

For a query like “A strategy game with cool graphics released after 2023?”” it will extract “strategy” (genre) and “2023” (year). In our example, we use Amazon Bedrock to extract entities like genre and year from natural language queries about video games. get('text').split(':')[0].split(',')[-1].replace('score split(':')[0].split(',')[-1].replace('score