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Cutting Through the Buzzwords of AI in the Contact Center

CCNG

Do you sometimes feel like you are playing buzzword bingo when reading anything about AI in the contact center? A lot of customers who have spent a lifetime in the contact center and survived a world of acronyms like AHT, CSAT, and PICINC are feeling alienated in their own world. You are not alone.

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The Power of Hyper-Personalization in the Contact Center

Fonolo

Contact center managers know this implicitly. But did you know that hyper-personalization in the contact center is one of the best ways to delight your customers? What is Hyper-Personalization in a Contact Center? Amazon’s recommendation engine is a notable example of hyper-personalization.

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The Future of Debt Collection Agencies: Contact Center Technology and Customer-Centric Strategies

NobelBiz

This is why automation is especially transformative in contact centers. Advanced analytics and machine learning algorithms are also being integrated into call center operations to predict debtor behavior and optimize contact strategies.

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Create powerful self-service experiences with Amazon Lex on Talkdesk CX Cloud contact center

AWS Machine Learning

Contact centers are using artificial intelligence (AI) and natural language processing (NLP) technologies to build a personalized customer experience and deliver effective self-service support through conversational bots. We end by explaining how contact centers can keep AI models up to date using Talkdesk AI Trainer.

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The Challenges of Omnichannel: Why so Many Contact Centers Struggle with Digital Self-Service

To find how contact centers are navigating the transition to omnichannel customer service, Calabrio surveyed more than 1,000 marketing and customer experience leaders in the U.S. about their digital customer communication strategies. Read the report to find out what was uncovered.

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20 Business Leaders Share How Call Centers Can Address Increased Customer Vulnerability

Callminer

To learn more about how call centers can address customer vulnerability, we reached out to a panel of call center experts and business leaders and asked them to answer this question: “How can contact centers address increased customer vulnerability?”. One thing contact centers need to get better at is…”.

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Don’t jump the Gen AI gun to realise returns on AI investments

Connect

It is costly and complex to build out Gen AI capabilities as creating the modelling needed to derive insights from AI engines is intensive, requiring scarce and expensive resources like data scientists and other technical experts. As such, the journey to Gen AI requires careful planning and implementation.