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6 Top Customer Service Trends for 2015

Talkdesk

Is your customer-centric team actively working on providing better customer service in 2015 ? Have you been searching for trends that will help them optimize customer interactions and get a leg up on your competitors ? Below are the top six customer service trends for 2015 according to Forrester : 1.

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6 Top Chatbot Examples: AI Customer Service Bots in Action

Comm100

If you’re here because you’re trying to figure out what a customer service chatbot is capable of and how it can help your customers and company grow, you’ve come to the right place. Let’s explore the top 6 chatbot examples of 2020. One of the best chatbot examples is from the healthcare industry.

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The Best Posts From the Customer Support Community in 2015

Kayako

This year, we’ve seen the customer support community continue to grow, with small tribes setting up all over the internet and producing great support content. 2015 saw the support community talk a lot about making things easier for the customer through both customer experience and communication.

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Intersecting Viral Marketing With Emotional Customer Connection: TD Bank’s ‘Home Run’

Beyond Philosophy

My example is TD Bank, where viral communication meets real, and valued, experience delivery on a personalized, and deeply emotional, level. Here’s a quick thumbnail summary of where some examples of TD Bank’s marketing unique marketing and communication initiatives have taken the company over the past year or so.

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Fast and cost-effective LLaMA 2 fine-tuning with AWS Trainium

AWS Machine Learning

These models can be used for question answering, summarization, translation, and more in applications such as conversational agents for customer support, content creation for marketing, and coding assistants. From 2015–2018, he worked as a program director at the US NSF in charge of its big data program.

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Advances in Object Recognition Builds Trust in the Virtual Technician

TechSee

Since 2015, object recognition has attained an error rate of 3.5% – even lower than the 5% baseline human rate – meaning that today’s machines surpass humans in the ability to recognize objects. For example, animals, food, hardware, road signs, etc. However, sometimes even the remaining 3.5% of errors can be critical. Data is the key.

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8 Airline Chatbot Use Cases You’ll Want to Implement

Inbenta

8 airline chatbot use cases to achieve top-notch support. Airline chatbot examples. These situations call for superior airline customer service. Quality of attention needs to be higher than ever, but at the same time scalable enough to make it manageable with the uptick in customer support requests. .