AWS Machine Learning

JULY 2, 2024

In November 2023, we announced Knowledge Bases for Amazon Bedrock as generally available. Knowledge bases allow Amazon Bedrock users to unlock the full potential of Retrieval Augmented Generation (RAG) by seamlessly integrating their company data into the language model’s generation process.

Knowledge Base 129

Knowledge Base Healthcare Government Interaction 129

AWS Machine Learning

NOVEMBER 7, 2024

Access to car manuals and technical documentation helps the agent provide additional context for curated guidance, enhancing the quality of customer interactions. Amazon Bedrock Agents coordinates interactions between foundation models (FMs), knowledge bases, and user conversations.

Automotive 128

Automotive Data Knowledge Base Guidelines 128

AWS Machine Learning

SEPTEMBER 25, 2024

Amazon Bedrock Knowledge Bases is a fully managed capability that helps you implement the entire RAG workflow—from ingestion to retrieval and prompt augmentation—without having to build custom integrations to data sources and manage data flows. Latest innovations in Amazon Bedrock Knowledge Base provide a resolution to this issue.

Knowledge Base 119

Knowledge Base Analysis Financial Data 119

Experience Investigators by 360Connext

OCTOBER 11, 2024

Call centers assist customers at any hour of the day, with expert scripts and knowledge bases designed to help them navigate even the trickiest situations with ease. Online chatbots can now manage many support interactions without the customer needing to call in if they don’t want to!

Customer Service 270

Customer Service Customer Experience How To Customer Journeys 270

Calabrio

MARCH 11, 2025

Workforce Management 9 Contact Center Quality Assurance Best Practices: Modernize Your Approach, Optimize Your Performance Share Even as AI enters the picture, the human interaction between agent and customer is, and will remain, at the core of customer service operations. What is call center quality assurance?

Contact Center 130

Contact Center Call Center Effort Score Chatbots 130

InMoment XI

DECEMBER 18, 2024

They provide a central platform for handling customer interactions across various channels. Personalized interactions help drive revenue growth by fulfilling customer needs and converting prospects. These positive results support seamless interactions that satisfy customer needs. It increases sales and conversions.

Contact Center 195

Contact Center Customer Satisfaction ROI Virtual Agent 195

eglobalis

MARCH 4, 2025

Research from Gartner emphasizes that while AI can automate routine interactions, very few [self-service solutions] possess the capabilities to resolve customer issues fully, and some level of assisted service will always be needed. Detect frustration or confusion and automatically route interactions to human representatives.

Self Service 198

Self Service Strategy Contact Center Virtual Agent 198

AWS Machine Learning

NOVEMBER 18, 2024

Retrieval Augmented Generation RAG is a process in which LLMs access external documents or knowledge bases, promoting accurate and relevant responses. This process is crucial for making sure that the system can provide accurate and relevant responses based on the most recent insurance policy documents.

Insurance 107

Insurance Interaction Policies Knowledge Base 107

AWS Machine Learning

FEBRUARY 8, 2024

You can now use Agents for Amazon Bedrock and Knowledge Bases for Amazon Bedrock to configure specialized agents that seamlessly run actions based on natural language input and your organization’s data. Interactive data collection – Agents engage in natural conversations to gather supplementary information from users.

Knowledge Base 140

Knowledge Base Insurance Policies Groups 140

AWS Machine Learning

FEBRUARY 29, 2024

Knowledge Bases for Amazon Bedrock allows you to build performant and customized Retrieval Augmented Generation (RAG) applications on top of AWS and third-party vector stores using both AWS and third-party models. If you want more control, Knowledge Bases lets you control the chunking strategy through a set of preconfigured options.

Knowledge Base 136

Knowledge Base Study Healthcare Travel 136

AWS Machine Learning

OCTOBER 31, 2024

The solution integrates large language models (LLMs) with your organization’s data and provides an intelligent chat assistant that understands conversation context and provides relevant, interactive responses directly within the Google Chat interface. This tool allows you to interact with AWS services through command line commands.

Knowledge Base 123

Knowledge Base Interaction Groups Customers 123

AWS Machine Learning

APRIL 26, 2024

At AWS re:Invent 2023, we announced the general availability of Knowledge Bases for Amazon Bedrock. With Knowledge Bases for Amazon Bedrock, you can securely connect foundation models (FMs) in Amazon Bedrock to your company data for fully managed Retrieval Augmented Generation (RAG).

Knowledge Base 126

Knowledge Base Data Conference System 126

AWS Machine Learning

APRIL 18, 2024

In this post, we show you how to use LMA with Amazon Transcribe , Amazon Bedrock , and Knowledge Bases for Amazon Bedrock. Context-aware meeting assistant – It uses Knowledge Bases for Amazon Bedrock to provide answers from your trusted sources, using the live transcript as context for fact-checking and follow-up questions.

Knowledge Base 135

Knowledge Base Meeting Resources Call Recording 135

Calabrio

FEBRUARY 20, 2025

Analytics Maximizing Chatbot Effectiveness: The Power of Analytics and Self-Service Share As businesses continue to adopt AI-driven chatbots for customer interactions, the challenge shifts from simply having a chatbot to ensuring it delivers real value. Increase containment rates Can more interactions be resolved without human intervention?

Self Service 162

Self Service Chatbots Analytics Contact Center 162

AWS Machine Learning

JULY 1, 2024

Generative artificial intelligence (AI)-powered chatbots play a crucial role in delivering human-like interactions by providing responses from a knowledge base without the involvement of live agents. Create new generative AI-powered intent in Amazon Lex using the built-in QnAIntent and point the knowledge base.

Self Service 125

Self Service Knowledge Base Chatbots Policies 125

Calabrio

MARCH 25, 2025

Table of Contents: Understanding call center agent performance Essential call center agent metrics and KPIs 10 strategies to improve contact center agent performance Understanding call center agent performance Even in our increasingly AI-driven era, human interactions are still central to the work of contact centers and the value they deliver.

Call Center 130

Call Center Measurement Self Service How To 130

AWS Machine Learning

MARCH 18, 2025

As generative AI adoption accelerates across enterprises, maintaining safe, responsible, and compliant AI interactions has never been more critical. Amazon Bedrock Guardrails provides configurable safeguards that help organizations build generative AI applications with industry-leading safety protections.

Policies 85

Policies Interaction Government Resources 85

AWS Machine Learning

MAY 1, 2024

This post demonstrates how to build a chatbot using Amazon Bedrock including Agents for Amazon Bedrock and Knowledge Bases for Amazon Bedrock , within an automated solution. This agent responds to user inquiries by either consulting the knowledge base or by invoking an Agent Executor Lambda function.

Knowledge Base 129

Knowledge Base Chatbots Data Groups 129

AWS Machine Learning

FEBRUARY 19, 2024

One way to enable more contextual conversations is by linking the chatbot to internal knowledge bases and information systems. Integrating proprietary enterprise data from internal knowledge bases enables chatbots to contextualize their responses to each user’s individual needs and interests.

Knowledge Base 123

Knowledge Base Chatbots Conference Data 123

AWS Machine Learning

AUGUST 5, 2024

An end-to-end RAG solution involves several components, including a knowledge base, a retrieval system, and a generation system. Solution overview The solution provides an automated end-to-end deployment of a RAG workflow using Knowledge Bases for Amazon Bedrock. Choose Sync to initiate the data ingestion job.

Knowledge Base 125

Knowledge Base System Conference Travel 125

AWS Machine Learning

JULY 10, 2024

Knowledge Bases for Amazon Bedrock is a fully managed service that helps you implement the entire Retrieval Augmented Generation (RAG) workflow from ingestion to retrieval and prompt augmentation without having to build custom integrations to data sources and manage data flows, pushing the boundaries for what you can do in your RAG workflows.

Knowledge Base 134

Knowledge Base Groups Data Examples 134

Calabrio

MARCH 18, 2025

As a result, the moment they recognize theyre interacting with AI, they immediately ask for a live agent increasing escalation rates and defeating the purpose of self-service. Why customers avoid bots: Common chatbot adoption challenges Customers Dont Trust the Bot One of the biggest challenges in chatbot adoption is customer skepticism.

Chatbots 147

Chatbots Self Service Contact Center Analytics 147

InMoment XI

NOVEMBER 7, 2024

Customer experience automation refers to automating interactions or touchpoints throughout the customer journey. Scalability Customer experience automation systems can handle high columns of interactions simultaneously. This is useful for organizations managing an expanding customer base as their business grows.

Customer Experience 195

Customer Experience Customer Journeys CRM e-support 195

Calabrio

MARCH 5, 2025

In essence, it tracks how often a customer’s problem is solved without the need for follow-up calls, emails, chats, or other interactions. To calculate FCR: Track all interactions initiated by customers within a given period, such as one month. A positive first interaction sets the tone for the entire customer journey.

First Call Resolution 100

First Call Resolution Examples Contact Center How To 100

InMoment XI

JANUARY 27, 2025

At times, even the insights that surfaced from customer-agent interactions can feel burdensomean endless inbox of problems to solve. Shifting the Cost Center Mindset To understand the perception of call centers as cost centers, lets start with the cold, hard math: a typical inbound customer service call costs an average of $2 per interaction.

Call Center 195

Call Center Contact Center Effort Score Social Media 195

InMoment XI

OCTOBER 30, 2024

These expectations stem from a need for both efficient digital solutions and the human touch of in-person interactions. Ensure an Omnichannel Customer Journey Customers are no longer comfortable restricting themselves to a single interaction channel. Invest in Digital Channels Customers are increasingly keen on digital interactions.

Insurance 195

Insurance Customer Satisfaction Customer Experience Strategy 195

AWS Machine Learning

JULY 11, 2024

A key feature is the agent’s ability to dynamically interact with users. This interaction allows for a more tailored and precise IaC configuration. Interaction and user confirmation : The agent displays the generated questions to the user and records their responses. Go directly to the Knowledge Base section.

Interaction 136

Interaction Knowledge Base Groups Guidelines 136

InMoment XI

MARCH 14, 2025

When you find the pain points in customer interactions, you know where to focus on your quest to deliver better service, faster resolutions, and improved customer experiences. You can use this data to measure customer interactions at scale, unlocking actionable insights from call data that go far beyond mere call performance.

Call Center 195

Call Center Metrics Tools First Call Resolution 195

AWS Machine Learning

JANUARY 24, 2025

LLM and LLM agent layer (Amazon Bedrock LLMs) The LLM and LLM agent layer frequently handles interactions with the LLM and faces risks such as LLM10: Unbounded Consumption, LLM05:2025 Improper Output Handling, and LLM02:2025 Sensitive Information Disclosure. Alternatively, you can choose to use a customer managed key.

Knowledge Base 110

Knowledge Base Groups Data How To 110

TechSee

FEBRUARY 10, 2025

Sophie AI picks what works best for the individual user and your brand, based on real-time context and past interactions. Advanced AI Reasoning: It accesses tribal knowledge, sifts through historical data, and uses context to deliver true support solutions. Tapping Into Tribal Knowledge No AI thrives in a vacuum.

Customer Service 124

Customer Service ROI Average Handle Time Multi-Channel 124

AWS Machine Learning

MARCH 4, 2025

An interactive chat interface allows deeper exploration of both the original document and generated content. Interactive exploration -The generative AI-driven chat interface allows users to dive deeper into the assessment, asking follow-up questions and gaining a better understanding of the recommendations.

Knowledge Base 97

Knowledge Base Analysis Resources Tools 97

AWS Machine Learning

OCTOBER 23, 2024

Built using Amazon Bedrock Knowledge Bases , Amazon Lex , and Amazon Connect , with WhatsApp as the channel, our solution provides users with a familiar and convenient interface. With the ability to continuously update and add to the knowledge base, AI applications stay current with the latest information.

Connections 93

Connections Knowledge Base Resources Data 93

Kayako

MAY 13, 2022

Today’s customer expects efficient, seamless interactions with products, services, and customer service help across various devices. Kayako’s SingleView™ includes every customer’s interaction in our help desk support ticketing system so that customer service agents can access a centralized, visual story of the entire customer journey.

Self Service 275

Self Service Knowledge Base e-support Policies 275

TechSee

NOVEMBER 27, 2024

By focusing on efficient service interactions, nurturing a customer-centric culture, and leveraging technology, we’ll outline how enterprises not only create a seamless and delightful customer experience but also drive business growth. Technology’s Role in Enhancing Service Interactions 8.

Customer Experience 124

Customer Experience Customer Centricity Net Promoter Score Culture 124

TechSee

MARCH 11, 2025

AI Agents: Fully Autonomous Customer Support AI Agents handle entire customer interactions without human involvement. Business Value: Revenue & Subscriber Growth – AI-powered self-service keeps customers engaged, ensuring frictionless interactions 24/7. How does AI integrate with existing systems?

Customer Service 109

Customer Service Self Service Knowledge Base CRM 109

Comm100

OCTOBER 17, 2023

Knowledge Bases : A centralized repository where customers can search for and find answers to frequently asked questions. Voice Automation (IVR): Interactive Voice Response systems guide callers through menus and can handle basic tasks over the phone. It focuses on creating a more personalized customer experience.

Software 239

Software Chatbots Customer Service Knowledge Base 239

Comm100

FEBRUARY 11, 2025

Admissions & Enrollment: Bureaucratic Bottlenecks For many students, their first real interaction with a university isnt in a classroom; its in the admissions process. Borrowing the Best CX Strategies from the Business World In the corporate world, companies obsess over seamless interactions, personalization, and proactive support.

Self Service 130

Self Service Chatbots Knowledge Base Financial 130