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5 Proven Ways to Make your Contact Center RPA Successful

TechSee

With this in mind, we’ve compiled five tips to help you overcome common barriers for properly implementing and scaling your Contact Center RPA project: Tip 1: Choose the right use cases for RPA. Consider your contact center workflows, and determine which use cases can be automated.

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Visual Automation: Boost Agent Productivity with Smart Eyes

TechSee

But while happy customers are vital to the success of a business, happy representatives are equally important, especially with high agent attrition rates presenting a real challenge for contact enters in 2019. Alternatively, customers can visually interact with AI-powered assistants in self-service mode, alleviating pressure on human agents.

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Amazon Comprehend Targeted Sentiment adds synchronous support

AWS Machine Learning

Today, we’re excited to announce the new synchronous API for targeted sentiment in Amazon Comprehend, which provides a granular understanding of the sentiments associated with specific entities in input documents. Scenario 2 – Real-time call center analytics to determine granular sentiment in customer interactions.

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Essential Pain Points in Call Center Management – Part 2

NobelBiz

Contact Center Data Analytics In today’s data-driven world, call centers generate vast amounts of data from every interaction. Volume Overload: With every call, chat, email, and social media interaction, the amount of data generated can be overwhelming, making it difficult to identify what’s important.