AWS Machine Learning

OCTOBER 26, 2023

With the Amazon Kendra Drupal connector, you can index Drupal content, filter the types of custom content you want to index, and easily search through Drupal content using Amazon Kendra intelligent search. Basic knowledge of AWS and working knowledge of Drupal administration. Drupal is a content management software.

APIs 94

APIs Accountability Engineering Enterprise 94

AWS Machine Learning

NOVEMBER 13, 2023

One of the most common applications of generative AI and large language models (LLMs) is answering questions based on a specific external knowledge corpus. Retrieval-Augmented Generation (RAG) is a popular technique for building question answering systems that use an external knowledge base.

Accountability 92

Accountability Enterprise Customer Experience 92

AWS Machine Learning

MARCH 28, 2024

Some of the content is based on the paper Efficient Continual Pre-training for Building Domain Specific Large Language Models. Large language models (LLMs) are generally trained on large publicly available datasets that are domain agnostic. These datasets encompass a broad range of topics and domains.

Finance 94

Finance Metrics Banking Engineering 94

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.

APIs 106

APIs Accountability Analytics Entertainment 106

TechSee

MARCH 11, 2024

Understanding Conversational AI Conversational AI refers to technologies that users interact with through a natural, conversational interface, like chatbots or virtual agents. Chatbots are typically rule-based systems that follow predefined scripts to interact with customers.

Chatbots 124

Chatbots Enterprise Scripts Virtual Agent 124

COPC

APRIL 1, 2024

The challenge of keeping pace with changing customer expectations looms large. Technological advancements, notably artificial intelligence (AI), fuel customer experience transformation. Companies worldwide are grappling with leveraging technology to enhance the overall customer experience (CX).

Customer Experience 89

Customer Experience Gamification Benchmark Chatbots 89

AWS Machine Learning

APRIL 18, 2024

With SageMaker JumpStart, you can evaluate, compare, and select foundation models (FMs) quickly based on predefined quality and responsibility metrics to perform tasks like article summarization and image generation. This post is co-authored by Jackie Rocca, VP of Product, AI at Slack Slack is where work happens.

Enterprise 97

Enterprise Analytics Metrics Accountability 97

AWS Machine Learning

NOVEMBER 7, 2023

Large language models (LLMs) with their broad knowledge, can generate human-like text on almost any topic. However, it’s possible to cross-reference a model answer with the original specialized content, thereby avoiding the need to train a new LLM model, using Retrieval-Augmented Generation (RAG).

Enterprise 92

Enterprise APIs Engineering Accountability 92

AWS Machine Learning

APRIL 12, 2023

By adding user tokens for secure search, performing access-based filtered searches in Amazon Kendra is simplified and secured. With this feature, Amazon Kendra can validate the token information and automatically apply it to the search results for accurate and secure access-based filtering.

Enterprise 86

Enterprise APIs Engineering Management 86

AWS Machine Learning

APRIL 16, 2024

IAM role that is used by the bot at runtime BotRuntimeRole: Type: AWS::IAM::Role Properties: AssumeRolePolicyDocument: Version: "2012-10-17" Statement: - Effect: Allow Principal: Service: - lexv2.amazonaws.com Version control – With AWS CloudFormation, you can use version control systems like Git to manage your CloudFormation templates.

Management 84

Management Construction APIs Chatbots 84

AWS Machine Learning

SEPTEMBER 6, 2023

Generative AI is a type of AI that can create new content and ideas, including conversations, stories, images, videos, and music. It’s powered by large language models (LLMs) that are pre-trained on vast amounts of data and commonly referred to as foundation models (FMs). You access the React application from your computer.

Enterprise 93

Enterprise APIs Real estate Construction 93

Comm100

MAY 23, 2023

Automated customer service refers to the use of technology that provides customer support without human assistance. Customer service automation can come in many types and forms, some simple and others complex. Agents can select the message response with a click of a button, rather than typing out the full response.

Customer Service 71

Customer Service Chatbots Technology Customer Support 71

AWS Machine Learning

DECEMBER 12, 2023

Large language models Generative AI chatbots such as ChatGPT are powered by large language models (LLMs), which are based on a deep learning neural network that can be trained on large quantities of unlabeled text. This feature can help enhance the user experience with the use of media as accompanying assets to the response.

Chatbots 97

Chatbots Enterprise APIs Best practices 97

AWS Machine Learning

FEBRUARY 2, 2024

In the RAG pattern, we find pieces of reference content related to an input prompt by performing similarity searches on embeddings. Embeddings are just vectors of floating point numbers, so we can analyze them to help answer three important questions: Is our reference data changing over time?

Big data 88

Big data Technology Management Engineering 88

AWS Machine Learning

NOVEMBER 27, 2023

The knowledge source documents need preprocessing, like cleaning text and generating semantic embeddings, so they can be efficiently indexed and retrieved. Generative artificial intelligence ( generative AI ) models have demonstrated impressive capabilities in generating high-quality text, images, and other content. read HTML).

Engineering 72

Engineering APIs Big data Accountability 72

AWS Machine Learning

NOVEMBER 15, 2023

Understanding up front which preprocessing techniques and algorithm types provide best results reduces the time to develop, train, and deploy the right model. Additionally, AutoML provides a baseline model performance that can serve as a reference point for the data science team.

Scripts 84

Scripts Best practices Accountability Engineering 84

AWS Machine Learning

MAY 18, 2023

Amazon Kendra can pull together data across several structured and unstructured knowledge base repositories to index and search on. Amazon Kendra can pull together data across several structured and unstructured knowledge base repositories to index and search on. Basic knowledge of AWS. Choose Next.

Engineering 74

Engineering Management Enterprise Best practices 74

AWS Machine Learning

JANUARY 16, 2024

These artifacts refer to the essential components of a machine learning model needed for various applications, including deployment and retraining. ASR technology finds utility in transcription services, voice assistants, and enhancing accessibility for individuals with hearing impairments. Next, we create custom inference scripts.

Scripts 99

Scripts Metrics Best practices Accountability 99

JivoChat

JUNE 1, 2022

Main topics: Lookup/Reference functions. Formula-based formatting. Access type: full lifetime access. Access type: full lifetime access. You are going to have access to the workbook as well to practice along the course and test your knowledge. . Access type: Full lifetime access. Workload: 9.5

Best practices 75

Best practices Analytics Metrics Accountability 75

JivoChat

JULY 4, 2022

The 3D modeling courses are perfect for designers who want to expand their knowledge and find new project opportunities. Project-based, during the lessons of this 3D modeling course, you will apply what you learn by making the suggested projects. Access type: full lifetime access. Access type: full lifetime access.

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Comm100

AUGUST 8, 2022

The technology they are powered by depends on the type of chatbot, which we’ll look at in the next section. . These bots are “trained” from existing reference materials like a knowledge base or FAQ bank. With AI, bots can also improve their responses over time based on customer confidence in their answers.

Chatbots 77

Chatbots Customer Service Wait times Banking 77

AWS Machine Learning

MAY 9, 2023

We identify a few data fields within FHIR resources like patient ID, date of service, provider type, and name of medical facility. An estimated 80% of data within organizations is considered to be unstructured or “dark” data that is locked inside text, emails, PDFs, and scanned documents.

Healthcare 68

Healthcare Enterprise Analytics Construction 68

AWS Machine Learning

FEBRUARY 15, 2024

On the one hand, analysts and domain experts have a very deep knowledge of the data in question and its interpretation, yet often lack the exposure to data science tooling and high-level programming languages such as Python. Due to the velocity of change in IT, customers in traditional industries are facing a dilemma of skillset.

Metrics 89

Metrics Analytics APIs Big data 89

ChurnZero

AUGUST 11, 2020

One of the best ways to do this is to practice a specific type of roleplay that focuses on having difficult conversations. According to Will, this specific type of role playing helped CSMs develop stronger and deeper relationships with their customers. Update Customer Knowledge Bases. This is shocking. Train to Listen.

Customer retention 97

Customer retention Chief Customer Officer SaaS Accountability 97

AWS Machine Learning

AUGUST 22, 2022

You can index Alfresco content, filter the types of content you want to index, and easily search your data in Alfresco with Amazon Kendra intelligent search and its Alfresco OnPrem connector. Basic knowledge of AWS and working knowledge of Alfresco administration. For Token type , choose JSON. Choose Add data source.

Enterprise 69

Enterprise APIs Accountability Management 69

AWS Machine Learning

OCTOBER 11, 2023

Sites may need to be crawled to create news feeds, analyze language use, or create bots to answer questions based on the website data. Basic knowledge of AWS. In the Authentication section, chose the appropriate authentication based on the site that you want to crawl. Create an Amazon Kendra index.

Enterprise 92

Enterprise Chatbots Engineering Management 92

AWS Machine Learning

SEPTEMBER 13, 2023

Amazon Comprehend can create new insights based on understanding the document structure and entity relationships. For more information about visualizations, refer to Visualizing data in Amazon QuickSight. Searching for insights in a repository of free-form text documents can be like finding a needle in a haystack.

Coaching 97

Coaching Accountability Enterprise Management 97

ChurnZero

MARCH 10, 2023

By the end of this post, you’ll have the confidence and knowledge to create effective CS AI prompts. Include context : While chat-based AI tools may seem human and dynamic, they are really more like a smart, quick encyclopedia. Provide a word count : Since CS AI is text-based, this is key guidance to include every time.

Scripts 98

Scripts Accountability Feedback Marketing 98

Outsource Consultants

SEPTEMBER 14, 2021

There are two types of business leaders as Q4 approaches — those that are sweating the possibility of high volume activity in Q4 and those looking forward to it. But why would anyone worry about potentially high sales volume? But what do these specific technologies actually do? Empower Agents Now for Success Later.

Contact Center 125

Contact Center Interactive Voice Response Morale Abandon rate 125

Solvvy

JULY 13, 2022

Offering self-service support, such as a knowledge base or video tutorials, on your website or within your app will give customers who learn through videos the tools to self-serve. Your customers expect–and demand–prompt, personalized service. Customer service automation can fill some of those gaps.

Customer Service 90

Customer Service Chatbots Self service Customer Support 90

AWS Machine Learning

DECEMBER 21, 2022

As data accumulates over time, a lot of critical information is stored in service catalogs, knowledge articles, and incidents including attachments for each entry. Basic knowledge of AWS. Choose Other type of secret. Amazon Kendra is a highly accurate and simple-to-use intelligent search service powered by machine learning (ML).

APIs 71

APIs Enterprise Accountability Engineering 71

AWS Machine Learning

SEPTEMBER 19, 2023

Technical challenges with multi-modal data further include the complexity of integrating and modeling different data types, the difficulty of combining data from multiple modalities (text, images, audio, video), and the need for advanced computer science skills and sophisticated analysis tools.

Marketing 99

Marketing APIs Engineering Analytics 99

AWS Machine Learning

SEPTEMBER 1, 2023

Data science team – Data scientists need to focus on creating the best model based on predefined key performance indicators (KPIs) working in notebooks. Security SMEs review the architecture based on business security policies and needs. The following figure illustrates the topics we discuss.

Engineering 100

Engineering Accountability Construction APIs 100

Quality Contact Solutions

JANUARY 21, 2022

This scenario is often referred to as omnichannel. This scenario is often referred to as omnichannel. Contact Center vs. Call Center: It’s About the Needs Determining your company’s needs and objectives will help narrow down which type of center you should choose. Choose a call center.

Call Center 98

Call Center Contact Center Business Process Outsourcing outsourcing 98

Inbenta

FEBRUARY 15, 2021

These are the perfect type of requests as they represent approximately 80% of the questions received by customer service agents and take up a large amount of their time, so they can easily be automated. But first, what is customer self-service? So what are the kind of queries or tasks that can be handled or performed by customer self-service?

Self service 99

Self service Metrics Chatbots Benchmark 99

AWS Machine Learning

MARCH 31, 2023

Intelligent document processing (IDP) with AWS helps automate information extraction from documents of different types and formats, quickly and with high accuracy, without the need for machine learning (ML) skills. For more information, refer to Intelligent document processing with AWS AI services: Part 1.

Construction 65

Construction APIs Accountability Banking 65

AWS Machine Learning

DECEMBER 20, 2022

In Part 3 , we walk through how to apply our knowledge graph embeddings to an out-of-catalog search use case. Large connected datasets often contain valuable information that can be hard to extract using queries based on human intuition alone. Solution overview. Neptune ML. SageMaker notebooks.

Entertainment 88

Entertainment Advertising Surveys Accountability 88