Zendesk

NOVEMBER 28, 2023

What is AI as a service? AI as a service (AIaaS) is a service offered by third-party vendors that allows businesses to incorporate AI-powered tools and capabilities into their systems. Premiering in 1962, the cartoon accurately depicts many technologies we use today—including AI.

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Intercom

MAY 31, 2023

Are you intrigued by the possibilities of AI but finding it difficult to get to grips with all the technical jargon? Our AI glossary will help you understand the key terms and concepts. If you’d like to get more of our content about AI and automation delivered to your inbox, be sure to subscribe to our regular newsletter.

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Taylor Reach Group

SEPTEMBER 6, 2023

by Colin Taylor The rapid advancement of conversational AI has had a profound impact on various industries, and one arena that has been significantly affected is the contact center industry. These systems aimed to streamline customer interactions by automating routine inquiries.

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Aquire

JULY 1, 2021

Conversational AI today is probably the closest technology has come to mimicking human interactions. That’s one of the reasons this tech has grown in popularity — and for customer experience in particular. But, the workings of AI are often complex. The technology behind conversational AI How does conversational AI work?

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Logicalware

JUNE 13, 2023

Enter Agent Assist: the intelligent customer service solution powered by Conversational AI that empowers agents to deliver exceptional service while leveraging automated capabilities. Agents can rely on the knowledge base to provide accurate and consistent responses, enhancing the overall customer experience.

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Lumoa

APRIL 28, 2024

In This Article: Why You Need a Customer Experience (CX) Platform Platform Overview Which Platform Fits Your Needs? You can even find opportunities for cross-selling, upselling, or personalized promotions by using real-time insights and trends generated by AI. You reach them where they are with the messages that resonate with them.

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Zendesk

JANUARY 25, 2024

What is an AI call center? An artificial intelligence (AI) call center is a customer service operation that uses AI technologies to manage customer inquiries, interactions, and tasks across voice and digital channels. AI in call centers enhances customer satisfaction by helping teams offer faster support.

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Zendesk

JANUARY 30, 2023

As companies wrangle with delivering compelling customer experiences, they face a difficult yet essential task: figuring out exactly what customers feel when they interact with their business. What is customer sentiment analysis?

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Ameyo Callversations

AUGUST 24, 2022

This is where conversational AI plays a vital role by delivering efficient customer interactions and fast responses to their queries. With the increasing significance of Artificial Intelligence in customer engagement, more businesses are adopting conversational AI. Sentiment Analysis for Chatbot Behavior.

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Ameyo Callversations

MARCH 2, 2022

Even implementation of ai in contact centers helps agents to ease their tasks and help them perform better. The use of machine learning coupled with Artificial intelligence and automated voice responses in a Contact center also helps the agents assist customers by making the calls interactive.

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ECXO

MARCH 24, 2024

1710668672319 AI in Customer Experience – should I stay, or should I go? Everyone is talking about Artificial Intelligence (AI) and how it has emerged as one of the most significant technological innovations in recent years, revolutionizing various industries and opening up a world of new possibilities.

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VOZIQ

JANUARY 1, 2024

That’s why there’s a need for explainable AI, as it helps make models transparent and understandable and empowers businesses with actionable insights. It provides a deeper understanding of the contextual insights that affect customer behavior and retention dynamics. Neither do all negative sentiments pose equal churn risk.

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Callminer

MAY 27, 2020

Solutions such as CallMiner’s interaction analytics software evaluate interactions across every customer communications channel, resulting in comprehensive analytics that paint a complete picture of your company’s customer interactions. Self-service is one area in which contact centers shine due to their multi-channel approach.

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CSAT.AI

MAY 15, 2018

Mention Artificial Intelligence (AI) to many and it still conjures images of sci-fi films with robots plotting to take over the world. AI is changing the current customer service sector, but AI has been around longer than most people realize. We Already use AI. AI has evolved. AI Solves Problems.

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Zendesk

OCTOBER 25, 2023

What is AI for employee experience? AI for employee experience means leveraging artificial intelligence technology to improve all aspects of the employee journey, including onboarding, performance, development, support from internal service teams, and access to information to perform daily tasks.

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UJET

DECEMBER 10, 2020

And there’s a very simple way to unlock each of your customer service agent’s full potential—give them a rock-star number two player. And you can leverage Virtual Agents’ artificial intelligence (AI) to level up your customer experience in a big way. Babe Ruth had Lou Gehrig—the list goes on. The UJET Virtual Agents.

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UJET

DECEMBER 10, 2020

And there’s a very simple way to unlock each of your customer service agent’s full potential—give them a rock-star number two player. And you can leverage Virtual Agents’ artificial intelligence (AI) to level up your customer experience in a big way. Babe Ruth had Lou Gehrig—the list goes on. The UJET Virtual Agents.

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VOZIQ

APRIL 26, 2022

We mentioned one way to combat customer churn is through artificial intelligence (AI), where machine learning and customer interaction analytics provide businesses with an accurate perspective on customer behavior and churn tendencies. Analyze why and how churn occurs.

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Zendesk

OCTOBER 4, 2023

Olivia is a customer service agent at a bustling, understaffed customer service department. To free up her time, bots quickly answer customer questions or acknowledge receipt of the query and when customers can expect a reply. What is the difference between AI and intelligent automation (IA)?

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TeamSupport

DECEMBER 18, 2023

“It’s the most wonderful time of the year” doesn’t always ring true for customer service or support teams. Ever wonder what to say to diffuse the situation when a customer is ranting and raving about a problem that’s difficult to solve? Here are five pro tips from customer service veterans.

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ECXO

APRIL 10, 2024

This concept can be applied to customer experience as well. When a business can align all its touchpoints – from product design to customer service to after-sales support – in a way that resonates with the customers’ emotional frequencies, it creates a coherent customer experience.

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Lumoa

JANUARY 24, 2024

When to use text analytics This situation is where automated text analytics in customer feedback is brought in: it can help in sorting out the key topics talked about and reveal the general sentiment per topic. Well, thankfully, software from Lumoa simplifies every aspect of customer experience and feedback analysis.

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Execs In The Know

FEBRUARY 5, 2024

Hyper-Automation is Revolutionizing BPO Operations Hyper-automation takes automation a step further by integrating multiple advanced technologies and platforms, such as artificial intelligence (AI), machine learning (ML), and robotic process automation (RPA), to optimize as many business processes as possible across a company.

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CSAT.AI

FEBRUARY 27, 2019

I have mine right here, in case I’m hit by a food craving ) The net, IoT, the cloud and AI have and will continue to disrupt contact center tech. Ironically, the net was a form of coming full circle for customer service as people were writing letters to companies again, but electronic ones this time. Back to the digital cloud…).

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Beyond Philosophy

AUGUST 25, 2022

Providing proactive experiences is part of the future I see for Customer Experience , a side effect of Customer Science. For those who read this newsletter, you know that Customer Science is where we have a convergence of artificial intelligence (AI), data, and behavioral sciences. Building a Proactive Experience.

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SugarCRM

JULY 7, 2022

Businesses need to use a CRM that incorporates artificial intelligence (AI) and machine learning (ML) into its functionality to augment staff knowledge and help prioritize workload focus. More importantly, your CRM should remove blind spots, enable rich information on the customer, and reduce blind spots and roadblocks.

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SurveySensum

MARCH 3, 2022

If you are looking for a top-notch AI-powered voice of the customer tool, SurveySensum is your right choice. It helps you conduct the research to understand the voice of your customer seamlessly. It measures customer loyalty and sentiments by listening to your customers, understanding their expectations, and closing the loop.

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Fonolo

JUNE 7, 2018

That’s emerging as a key frontier in the broader world of customer interaction management. Four of them include “AI” or “machine learning”, although those terms are being used so casually now, they are almost meaningless. The core value of Accompany is its AI-driven “relationship intelligence platform”.

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Lumoa

FEBRUARY 14, 2024

It is no wonder, then, that businesses have started paying much closer attention to their customer experience (CX) strategy. A multi-dimensional CX strategy can be much more beneficial for your brand than one-dimensional customer service. How customers experience your brand is more important than ever before.

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VOZIQ

JUNE 7, 2023

Analyze your customer data to understand what matters the most to your customers and why some customers are more satisfied than others. This may include product quality, customer service, price, convenience or brand reputation. Predict your NPS: Remember not all customers respond to NPS surveys.

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VOZIQ

JUNE 7, 2023

Analyze your customer data to understand what matters the most to your customers and why some customers are more satisfied than others. This may include product quality, customer service, price, convenience or brand reputation. Predict your NPS: Remember not all customers respond to NPS surveys.

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UJET

DECEMBER 17, 2020

Natural language processing (NLP) is a branch of artificial intelligence that uses machine learning algorithms to help computers understand natural human language—not just what people are saying but also what they mean when they say it. There are examples of NLP in nearly every customer service process powered by AI.

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UJET

DECEMBER 17, 2020

Natural language processing (NLP) is a branch of artificial intelligence that uses machine learning algorithms to help computers understand natural human language—not just what people are saying but also what they mean when they say it. There are examples of NLP in nearly every customer service process powered by AI.

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Zendesk

AUGUST 30, 2022

and build comprehensive reports to make data-informed decisions that drive strategic actions, and help companies to build better relationships with their customers. Rdentify for Support and Chat (Support) (Chat) brings together state-of-the-art machine learning and linguistics technology to provide customer protection.

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SurveySensum

NOVEMBER 11, 2021

SurveySensum is an AI-powered end-to-end customer experience management platform that facilitates SMEs and growth-stage businesses to act effectively on your feedback. . When you have too many customer personas and a huge audience pool, you need to manage it. 360-degree solution for customer professionals. Take a look.

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Comm100

JUNE 25, 2019

AI-powered chatbots are so 2018. This year, it’s all about agent-facing AI. The ironic thing about this statement is that it makes it sound like agent-facing AI is just a fad. No doubt there has been a lot of talk about how AI can be used to help improve customer-facing interactions – but there’s more to AI than meets the eye.

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Zendesk

MAY 31, 2023

Yuma AI Ticket Assistant Yuma AI Ticket Assistant (Support) is ChatGPT for e-commerce customer support. Yuma brings the power of the latest innovations in AI and LLMs to Zendesk. Yuma learns from historical conversations, help centers, content pages, macros, and Shopify products. Yuma is not another chatbot.

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