AWS Machine Learning

FEBRUARY 6, 2023

In the second part of this series, we describe how to use the Amazon Lex chatbot UI with Talkdesk CX Cloud to allow customers to transition from a chatbot conversation to a live agent within the same chat window. These virtual agents can automate routine tasks as well as seamlessly elevate complex interactions to a live agent.

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Talkdesk

OCTOBER 8, 2020

Artificial intelligence (AI) and machine learning infused in your client facing tools such as chatbots and virtual agents can deliver human-like experiences to quickly solve simple client issues without the need for live-agent intervention. AI must also ensure the information is consistent and complements a live agent.

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Banking Chatbots Contact Center Virtual Agent 119

AWS Machine Learning

JUNE 8, 2022

Chatbots and virtual assistants have transformed the customer experience from a point-and-click or a drag-and-drop experience to one that is driven by voice or text. Uneeq is an AWS Partner that specializes in developing animated visualizations of these voice bots and virtual agents, called. Amazon API Gateway.

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APIs Telecommunications Chatbots Accountability 97

AWS Machine Learning

AUGUST 30, 2023

Powered by Amazon Lex , the QnABot on AWS solution is an open-source, multi-channel, multi-language conversational chatbot. This includes automatically generating accurate answers from existing company documents and knowledge bases, and making their self-service chatbots more conversational. Search string: "Is it fast?

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AWS Machine Learning

SEPTEMBER 29, 2022

The admin configures questions and answers in the Content Designer, and the UI sends requests to Amazon API Gateway to save the questions and answers. After authentication, Amazon CloudFront and Amazon Simple Storage Service (Amazon S3) deliver the contents of the Content Designer UI.

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Virtual Agent Call flow Interactive Voice Response Contact Center 82

Expivia

FEBRUARY 15, 2024

Key Features: Advanced data analysis for real-time insights Predictive modeling to anticipate customer needs Customizable dashboards for a holistic view of service performance Autopilot: The Next-Gen Virtual Agent Autopilot introduces a level of automation and learning capability that redefines the role of virtual agents in customer service.

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Virtual Agent APIs Analytics Chatbots 75

TechSee

SEPTEMBER 21, 2023

Designing Sophie: Generative AI for Service & CX We began working on Generative AI for service about seven years ago, as the shortcomings of chatbots and virtual assistants like Siri and Alexa became clear. These chatbots demanded a lot of effort from users and administrators.

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Engineering Enterprise Chatbots Self service 109

SmartAction

NOVEMBER 1, 2023

The customer connects with an AI-powered virtual agent that uses a trained and constantly optimized deep neural net, utilizing Natural Language Processing to understand the customer’s problems and intents. It linked via API to internal data sources and current customer input to find a successful solution.

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Contact Center Virtual Agent Interactive Voice Response Chatbots 66

SmartAction

JUNE 9, 2023

Some notable examples include: Chatbots : Chatbots are AI-powered virtual agents, built in-house or by third-party vendors , that engage in text-based conversations with users. Chatbots often answer FAQs, and guide users through various processes. They are widely used in customer support, providing 24/7 assistance.

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Virtual Agent Chatbots Self service Feedback 75

Creative Virtual

OCTOBER 9, 2020

So, if you have, for example, a chatbot on your website, users can use the voice capabilities of their mobile device to ask their question. A variety of smart speakers , like Alexa, Cortana or Google Home, can be integrated with our self-service virtual agents. You don’t have to consider anything.

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Interactive Voice Response Customer Service Virtual Agent Transportation 59

DMG Consulting

MAY 2, 2024

Intelligent virtual agents (IVAs)—a.k.a. chatbots, voicebots, or just plain bots—can automate many tasks and inquiries previously handled by live agents, reducing operating expenses.

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Self service Virtual Agent Contact Center CRM 59

Creative Virtual

APRIL 27, 2021

Jan Erik and I also touch on issues some projects face when integration points and APIs aren’t readily available or accessible. We saw record traffic to our virtual agents and chatbots in 2020 as customers turned to online self-service for quick answers to their questions.

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Virtual Agent APIs Chatbots Self service 52

Creative Virtual

JANUARY 26, 2023

In some cases, one might be willing to accept a certain risk in exchange for very efficiently making large chunks of information available to a chatbot. However its knowledge is not limitless and so on its own it will not have large parts of the information needed for specific chatbot use cases.

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Virtual Agent Chatbots APIs Engineering 52

Lumoa

JUNE 23, 2021

The denouement of Gartner’s latest Hype Cycle for AI shows how AI-powered contact center technologies such as natural language processing (NLP), chatbots, and machine learning (ML) have recently begun to lose their magnetism, ending up in the Trough of Disillusionment.

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Cloud contact Interactive Voice Response Contact Center Chatbots 78

IdeasUnlimited

JULY 28, 2022

It is important to make use of APIs and integration to know where the customer is coming from, what the context is and where to take them ahead. Throughout the journey, it is important to align the strategy, policies, agents, and the technology in play. Call Routing Towards The Best Agent.

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Customer Service Virtual Agent Call Center Abandon rate 59

RichCall

SEPTEMBER 13, 2017

In the worst case, if they were not able to solve their issue, the portal can include a click to call button where they are transferred to an agent and they don’t have to repeat all their information in order to get assistance. Customers have begun to use, and in some cases even prefer, non-agented interactions. Lutz Remmers.

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Contact Center Technology Benchmark Chatbots 64

Balto

MARCH 17, 2025

Chatbots have matured from clunky decision trees to sophisticated virtual agents capable of handling complex customer inquiries. Modern AI systems can analyze thousands of conversations simultaneously, identifying patterns humans might miss. The key insight: successful companies don’t try to automate everything.

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Call Center Customer Experience Average Handle Time Analytics 52

DMG Consulting

MARCH 31, 2019

The new paradigm of “platform as a service” means that customized solutions can be created and deployed quickly; application programming interfaces (APIs) are being used to build out functional capabilities. For more information, visit www.dmgconsult.com. # # #.

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Consulting Consulting Contact Center Marketing 48

JustCall

MARCH 23, 2023

Live call board – All call engagements are displayed live, so team leads know which agents are engaged with which customers. Talkdesk’s dashboard Top Features of Talkdesk Voice engagement – Smart routing based on IVR selection, business hours, and agent skills.

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Interactive Voice Response call center solutions CRM Contact Center 52

AWS Machine Learning

JUNE 18, 2024

By following the steps outlined in this post, you will be able to deploy your own secure and responsible chatbots, tailored to your specific needs and use cases. For example: “You’re a virtual travel agent. The following diagram illustrates this layered protection for generative AI chatbots.

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Engineering Virtual Agent Finance Government 123

DMG Consulting

NOVEMBER 7, 2024

Conversational artificial intelligence (CAI)—intelligent virtual agents (IVAs), voicebots, chatbots, or just plain bots—can automate many tasks and inquiries that were previously handled by live agents, which reduces operating expenses.

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Self service Contact Center Virtual Agent CRM 48