TechSee

SEPTEMBER 21, 2023

Generative AI will be transformative for every enterprise. However, today’s early Generative AI solutions lack context, and deliver a poor user experience. These are the keys to unlocking mainstream adoption of Generative AI for service and CX. Using Generative AI should be as natural as chatting with a friend.

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Meeting Self Service Contact Center Virtual Agent 109

AWS Machine Learning

JANUARY 26, 2024

Generative artificial intelligence (AI) applications built around large language models (LLMs) have demonstrated the potential to create and accelerate economic value for businesses. Many customers are looking for guidance on how to manage security, privacy, and compliance as they develop generative AI applications.

Government 125

Government Training Data Policies 125

AWS Machine Learning

APRIL 3, 2024

Search engines and recommendation systems powered by generative AI can improve the product search experience exponentially by understanding natural language queries and returning more accurate results. A multimodal embeddings model is designed to learn joint representations of different modalities like text, images, and audio.

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Policies Examples Ecommerce User Experience 103

Comm100

DECEMBER 18, 2023

Generative AI stands out as a groundbreaking development this year, showing particular promise in the realm of customer service. But with so much conversation around it, how many people really understand how Generative AI works? What is Generative AI? How Does Generative AI Work?

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Chatbots Training Customer Satisfaction Technology 130

TechSee

JUNE 29, 2023

AI is rapidly becoming a critical tool in customer service. While initial conversations now focus on improving chatbots with large language models (LLMs) like ChatGPT, this is just the start of what AI can and will offer. AI in Customer Service will reduce customer wait times and improve overall efficiency.

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Chatbots Customer Service Customer Service Representative Wait Times 202

Horizon CX

FEBRUARY 7, 2024

This article explores the importance of keeping CX at the human level and offers practical strategies for ensuring that technology complements, rather than replaces, human interaction in customer service. In the context of CX, empathetic interactions are crucial for fostering emotional connections with customers.

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Self Service Loyalty Customer Service Representative Strategy 130

Comm100

FEBRUARY 13, 2023

The release of ChatGPT has kicked off an AI battle among the tech giants, and public experimentation has already turned up some incredible applications for ChatGPT. ChatGPT is a chatbot created by OpenAI that is built on top of a large language model. What distinguishes ChatGPT and similar AI the most from standard chatbots is scale.

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Chatbots Management Self Service Training 196

CSM Magazine

APRIL 18, 2024

The landscape of customer service is dramatically changing with the introduction of artificial intelligence (AI), particularly large language models (LLMs) such as ChatGPT. With traditional customer service methods, human agents can only handle a limited number of interactions at once.

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Social Media Chatbots Analysis Customer Service Representative 52

AWS Machine Learning

NOVEMBER 28, 2023

Artificial intelligence (AI) is a rapidly evolving field with the potential to improve and transform many aspects of society. In 2023, the pace of adoption of AI technologies has accelerated further with the development of powerful foundation models (FMs) and a resulting advancement in generative AI capabilities.

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System How To Measurement Government 111

AWS Machine Learning

MARCH 27, 2024

Amazon Titan lmage Generator G1 is a cutting-edge text-to-image model, available via Amazon Bedrock , that is able to understand prompts describing multiple objects in various contexts and captures these relevant details in the images it generates. Finally, we show you how to test and deploy your fine-tuned model with Provisioned Throughput.

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Guidelines Training Data How To 88

BlueOcean

MARCH 13, 2023

This is the underlying philosophy of our digital customer experience support solutions , driven by AI, machine learning, chatbots, and intelligent self-service. But with ChatGPT in the spotlight, we wanted to bring you a deeper dive into AI in the contact center. Can AI Handle Complex Customer Care?

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Contact Center Customer Experience Self Service Chatbots 156

COPC

APRIL 1, 2024

Technological advancements, notably artificial intelligence (AI), fuel customer experience transformation. With the advent of generative AI (GenAI) and large language models (LLMs), we are in an era of exponential change. Customer-facing technologies encompass a range of AI-powered tools for direct customer interaction.

Customer Experience 89

Customer Experience Contact Center Gamification Chatbots 89

Beyond Philosophy

JULY 13, 2023

Organizations are making a common mistake with AI. For example, a large telecom company designed an AI system to identify customer churn. The issue was the AI didn’t pinpoint why the customers were leaving. Here’s the thing: AI models are outstanding at predicting customer behavior.

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How To Competitive Advantage System Social Media 143

Win the Customer

DECEMBER 23, 2023

In an era where technology is deeply integrated into customer touchpoints, the responsible use of AI holds immense potential to revolutionize customer experiences. The ethical deployment of AI not only improves customer satisfaction but also fosters trust and transparency. Human Oversight Integrate human oversight into AI systems.

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Touchpoint Customer Experience Guidelines System 69

AWS Machine Learning

DECEMBER 12, 2023

The launch of ChatGPT and rise in popularity of generative AI have captured the imagination of customers who are curious about how they can use this technology to create new products and services on AWS, such as enterprise chatbots, which are more conversational. We cover the following steps: Deploy SageMaker foundation models.

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Interaction Chatbots Training How To 102

TechSee

JULY 17, 2023

Service leaders are increasingly looking towards AI to stay ahead, or even just to stay afloat. Language Models (LLMs) have emerged as a powerful tool with the potential to revolutionize customer service, automating responses, personalizing experiences, and enhancing operational efficiency. Remember that LLMs are generalists.

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Training Interaction Chatbots Customer Centricity 109

COPC

OCTOBER 26, 2023

AI is advancing rapidly and will have a revolutionary impact on customer experience. The potential of AI to enhance customer engagement, streamline operations, and foster efficiency is undeniable. This article explores the inner workings of AI assistants, showcasing their ability to provide direct answers to customer inquiries.

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Technology Customer Experience Self Service Customer Journeys 77

COPC

JUNE 9, 2023

Artificial intelligence (AI) is rapidly transforming the customer experience (CX) industry, offering businesses new opportunities to enhance their operations. This blog article discusses the importance of employing multiple types of AI, implementing effective controls and guardrails, and adapting specific roles within the CX organization.

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Industry Customer Experience Analytics Training 114

Inbenta

MARCH 13, 2023

The Generative AI platform’s meteoric rise is understandable – a new and transformative AI tool capable of fixing code, responding to questions, writing emails and articles, and everything in between, is now widely available to the public. What benefits can Generative AI bring to customer experience more broadly?

Chatbots 111

Chatbots eBook Tools Training 111

AWS Machine Learning

SEPTEMBER 1, 2023

Nowadays, the majority of our customers is excited about large language models (LLMs) and thinking how generative AI could transform their business. However, bringing such solutions and models to the business-as-usual operations is not an easy task. Our approach applies to both open-source and proprietary models equally.

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Training Effort Score Examples Data 105

AWS Machine Learning

APRIL 8, 2024

Unlocking accurate and insightful answers from vast amounts of text is an exciting capability enabled by large language models (LLMs). When building LLM applications, it is often necessary to connect and query external data sources to provide relevant context to the model.

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Knowledge Base Tools Data Training 101

NobelBiz

APRIL 2, 2024

At the core of this modern transformation lie Enterprise Contact Center Solutions , sophisticated platforms designed to streamline communication, enhance productivity, and drive customer satisfaction. They serve as centralized hubs for managing multichannel interactions, voice calls, emails, chats, social media, and more.

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Contact Center Self Service Omni-Channel CRM 106

AWS Machine Learning

NOVEMBER 29, 2023

With this integration, SageMaker Canvas provides customers with an end-to-end no-code workspace to prepare data, build and use ML and foundations models to accelerate time from data to business insights. In this post, we walk you through the process to prepare data for end-to-end model building in SageMaker Canvas.

Data 104

Data Analysis Training Financial 104

Retently

APRIL 5, 2024

Key Takeaways A successful in-store customer experience strategy hinges on optimized store layout, interactive elements, demos, and personalized customer service, which all contribute to improved customer satisfaction and loyalty. Hence, in physical stores, the experience is tactile and sensory.

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Retail Engagement Strategy Customer Experience 78

AWS Machine Learning

NOVEMBER 6, 2023

We are excited to announce that Amazon SageMaker JumpStart can now stream large language model (LLM) inference responses. Token streaming allows you to see the model response output as it is being generated instead of waiting for LLMs to finish the response generation before it is made available for you to use or display.

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User Experience Training Conference Data 98

Magellan Solutions

SEPTEMBER 6, 2023

Written by: Janselle Miguel Artificial Intelligence (AI) is more than just a buzzword in today’s digital age. True to this, over half of marketing leaders already harness AI’s potential. Why the AI frenzy? Because AI can do what humans can’t. Yet here’s the real kicker: AI promises an 11.4%

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Chatbots Customer Engagement Tools Engagement 98

AWS Machine Learning

APRIL 19, 2024

Solution training is fundamental to maintain the effectiveness of a model and make sure recommendations align with users’ evolving behaviors and preferences. As data patterns and trends change over time, retraining the solution with the latest relevant data enables the model to learn and adapt, enhancing its predictive accuracy.

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Training Resources Travel Software 98

AWS Machine Learning

NOVEMBER 30, 2023

Amazon SageMaker makes it straightforward to deploy machine learning (ML) models for real-time inference and offers a broad selection of ML instances spanning CPUs and accelerators such as AWS Inferentia. But in systems with generative AI workloads, requests and responses can be extremely variable.

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Strategy Analysis Travel Policies 90

AWS Machine Learning

FEBRUARY 29, 2024

Amazon Bedrock provides a broad range of models from Amazon and third-party providers, including Anthropic, AI21, Meta, Cohere, and Stability AI, and covers a wide range of use cases, including text and image generation, embedding, chat, high-level agents with reasoning and orchestration, and more. txt) Markdown (.md) Choose Next.

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Knowledge Base Study Healthcare Travel 115

Kustomer

MARCH 19, 2024

An AI-powered agent copilot built on top of our CRM. In today’s highly competitive marketplace, engaging customers and creating meaningful interactions is crucial for business success. Late last year, we introduced KIQ Customer Assist , an AI-powered self-service bot, which has increased efficiency by 45%. How Does it Work?

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Self Service CRM Knowledge Base Metrics 69

AWS Machine Learning

OCTOBER 31, 2023

Schneider Electric is deploying large language models for their capabilities in answering questions in various knowledge specific domains, the date the model has been trained is limiting its knowledge. Flan-T5 model In that project we used Flan-T5-XXL model from the Flan-T5 family of models.

System 103

System Healthcare Analytics Examples 103

AWS Machine Learning

NOVEMBER 7, 2023

Large language models (LLMs) with their broad knowledge, can generate human-like text on almost any topic. Without continued learning, these models remain oblivious to new data and trends that emerge after their initial training. The model then skillfully integrates this outside information into its generated text.

Data 96

Data Comparison Guidelines Training 96

AWS Machine Learning

MARCH 11, 2024

VistaPrint , a Cimpress business, is the design and marketing partner to millions of small businesses around the world. Amazon Personalize uses data about users, items, and interactions , and this data is ingested from Amazon Simple Storage Service (Amazon S3) in CSV format.

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Ecommerce System Sports Software 96

AWS Machine Learning

OCTOBER 6, 2023

Large language models (LLMs) are revolutionizing fields like search engines, natural language processing (NLP), healthcare, robotics, and code generation. One such component is a feature store, a tool that stores, shares, and manages features for machine learning (ML) models.

System 113

System Data Travel Tools 113

BirdEye

FEBRUARY 23, 2023

Artificial Intelligence (AI) is taking the world by storm, transforming how local businesses operate and interact with customers through digital channels. The rapid development of AI is creating a new era of innovation as companies seek to use technology to stay ahead of the competition and meet the evolving needs of their customers.

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Customer Experience Chatbots Analytics Touchpoint 94

AWS Machine Learning

MARCH 30, 2023

In this post, we introduce a new interactive tool called Snapper, powered by a machine learning (ML) model that reduces the effort required of annotators. Overview of Snapper Snapper is an interactive and intelligent system that automatically “snaps” object annotations to image-based objects in real time.

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System Metrics Effort Score Tools 84

AWS Machine Learning

AUGUST 30, 2023

QnABot allows you to quickly deploy self-service conversational AI into your contact center, websites, and social media channels, reducing costs, shortening hold times, and improving customer experience and brand sentiment. New Generative AI features Using the LLM, QnABot now has two new important features, which we discuss in this section.

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Self Service Contact Center Multi-Channel Knowledge Base 105