AWS Machine Learning

MAY 1, 2024

Numerous customers face challenges in managing diverse data sources and seek a chatbot solution capable of orchestrating these sources to offer comprehensive answers. This post presents a solution for developing a chatbot capable of answering queries from both documentation and databases, with straightforward deployment.

Chatbots 78

Chatbots APIs Engineering Automotive 78

AWS Machine Learning

JUNE 13, 2023

In our case, it was scattered across our internal wiki and various document files. We can easily import documents from a variety of media, including groupware, wikis, Microsoft PowerPoint files, PDFs, and more, without any hassle. One of the initiatives we took with the launch of Amazon Kendra was to provide a chatbot.

Chatbots 77

Chatbots Engineering Enterprise APIs 77

AWS Machine Learning

FEBRUARY 19, 2024

Modern chatbots can serve as digital agents, providing a new avenue for delivering 24/7 customer service and support across many industries. Chatbots also offer valuable data-driven insights into customer behavior while scaling effortlessly as the user base grows; therefore, they present a cost-effective solution for engaging customers.

Chatbots 100

Chatbots APIs Engineering Enterprise 100

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. Yes, this is absolutely possible.

Virtual Agent 52

Virtual Agent Chatbots APIs Engineering 52

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. Tasks like account balance lookups are completed in seconds, a 90% reduction in time compared to WaFd’s legacy system.

Cloud contact 68

Cloud contact Self service Contact Center Virtual Agent 68

AWS Machine Learning

APRIL 24, 2023

Since conversational AI has improved in recent years, many businesses have adopted cutting-edge technologies like AI-powered chatbots and AI-powered agent support to improve customer service while increasing productivity and lowering costs. API Gateway bypasses the request to Lambda. Lambda checks the format and stores it in DynamoDB.

APIs 62

APIs Customer Experience Feedback Chatbots 62

TechSee

AUGUST 31, 2022

Below are a few common examples: A customer interacting with a chatbot may have trouble communicating technical information. Your team should be able to invoke a document signature capability, or when requested by the end-user, run a speed test or even remotely control the end-user’s computer in order to help them complete their desired task.

APIs 109

APIs Enterprise Technology Self service 109

AWS Machine Learning

SEPTEMBER 19, 2023

The steps involved are as follows: The financial analyst poses questions via a platform such as chatbots. For unstructured data, the agent uses AWS Lambda functions with AI services such as Amazon Textract for document analysis, Amazon Transcribe for speech recognition, Amazon Comprehend for NLP, and Amazon Kendra for intelligent search.

Marketing 102

Marketing APIs Engineering Analytics 102

Solvvy

JUNE 17, 2021

Catering your customer support to your individual customers can be accomplished easily with a smart, chatbot platform like Solvvy. Chatbots offer a clear automation solution, however, traditional chatbots usually don’t allow for personalization due to reliance on established processes. Check it out!

Personalization 71

Personalization Customer Experience Chatbots Upselling 71

AWS Machine Learning

DECEMBER 6, 2023

Such data often lacks the specialized knowledge contained in internal documents available in modern businesses, which is typically needed to get accurate answers in domains such as pharmaceutical research, financial investigation, and customer support. For example, imagine that you are planning next year’s strategy of an investment company.

Analytics 102

Analytics APIs Engineering Construction 102

Babelforce

NOVEMBER 4, 2021

And, unlike all those emails which go unopened or land in neglected accounts, people actually read their WhatsApp messages. You can use the WhatsApp Business app, or integrate the platform with your existing tools using the API. You can use chatbots to automate WhatsApp conversations. And it works the other way too.

Customer Support 98

Customer Support Contact center software Contact Center Self service 98

NobelBiz

APRIL 23, 2024

Account Setup and Verification : Upon receiving a debt, the agency sets up an account for the debtor and verifies all the details. Call centers are equipped with tools that allow agents to quickly access a debtor’s full account information, ensuring that every interaction is informed and constructive.

Customer centricity 59

Customer centricity Contact Center Technology Telemarketing 59

AWS Machine Learning

AUGUST 2, 2023

Amazon Kendra supports a variety of document formats , such as Microsoft Word, PDF, and text from various data sources. In this post, we focus on extending the document support in Amazon Kendra to make images searchable by their displayed content. Images can often be searched using supplemented metadata such as keywords.

Enterprise 71

Enterprise Healthcare APIs Big data 71

AWS Machine Learning

MAY 2, 2023

There are a few limitations of using off-the-shelf pre-trained LLMs: They’re usually trained offline, making the model agnostic to the latest information (for example, a chatbot trained from 2011–2018 has no information about COVID-19). LLMs can store factual knowledge by training their parameters on a large corpus of natural language data.

Engineering 75

Engineering Management APIs Chatbots 75

JustCall

JANUARY 29, 2024

But it gets better — the lead prioritization criteria can be customized to sequence priority calls first, align with peak availability times, and even take into account lead scoring to ensure agents get to the best leads first. That is exactly what JustCall’s Predictive Dialer lets you do.

Sales 52

Sales APIs Analytics Abandon rate 52

AWS Machine Learning

JANUARY 26, 2024

In addition to awareness, your teams should take action to account for generative AI in governance, assurance, and compliance validation practices. You should begin by extending your existing security, assurance, compliance, and development programs to account for generative AI.

Best practices 124

Best practices Government Engineering Accountability 124

AWS Machine Learning

FEBRUARY 14, 2024

Amazon Bedrock offers a choice of high-performing foundation models from leading AI companies, including AI21 Labs, Anthropic, Cohere, Meta, Stability AI, and Amazon, via a single API. First, the user logs in to the chatbot application, which is hosted behind an Application Load Balancer and authenticated using Amazon Cognito.

Engineering 116

Engineering Chatbots Accountability Enterprise 116

AWS Machine Learning

NOVEMBER 22, 2023

In this post, we explore building a contextual chatbot for financial services organizations using a RAG architecture with the Llama 2 foundation model and the Hugging Face GPTJ-6B-FP16 embeddings model, both available in SageMaker JumpStart. Their training on predominantly generalized data diminishes their efficacy in domain-specific tasks.

Engineering 94

Engineering Chatbots APIs Benchmark 94

AWS Machine Learning

SEPTEMBER 1, 2023

Each business unit has each own set of development (automated model training and building), preproduction (automatic testing), and production (model deployment and serving) accounts to productionize ML use cases, which retrieve data from a centralized or decentralized data lake or data mesh, respectively. words for English).

Engineering 104

Engineering Accountability Construction APIs 104

AWS Machine Learning

NOVEMBER 10, 2023

LLMs are capable of a variety of tasks, such as generating creative content, answering inquiries via chatbots, generating code, and more. Amazon Comprehend is a natural language processing (NLP) service that uses machine learning (ML) to uncover information in unstructured data and text within documents.

APIs 96

APIs Chatbots Analytics Personalization 96

AWS Machine Learning

FEBRUARY 6, 2024

Conversational AI (or chatbots) can help triage some of these common IT problems and create a ticket for the tasks when human assistance is needed. Chatbots quickly resolve common business issues, improve employee experiences, and free up agents’ time to handle more complex problems.

Chatbots 105

Chatbots APIs Self service Banking 105

AWS Machine Learning

SEPTEMBER 14, 2023

This post takes you through the most common challenges that customers face when searching internal documents, and gives you concrete guidance on how AWS services can be used to create a generative AI conversational bot that makes internal information more useful.

APIs 95

APIs Healthcare Scripts Engineering 95

AWS Machine Learning

DECEMBER 22, 2023

Amazon Bedrock is a fully managed service that makes leading FMs from AI companies available through an API along with developer tooling to help build and scale generative AI applications. The web channel includes an Amplify hosted website with an Amazon Lex embedded chatbot for a fictitious customer.

Scripts 99

Scripts Chatbots Accountability Multi-channel support 99

AWS Machine Learning

APRIL 23, 2024

With Knowledge Bases for Amazon Bedrock, you can quickly build applications using Retrieval Augmented Generation (RAG) for use cases like question answering, contextual chatbots, and personalized search. For latest information, please refer to the documentation above. It calls the CreateDataSource and DeleteDataSource APIs.

APIs 105

APIs Enterprise Scripts Accountability 105

AWS Machine Learning

AUGUST 15, 2023

The response from the chatbot will be able to directly answer the question and also include the links to the source videos with the specific timestamp of the contents that are most relevant to the user’s request. Build a multi-functional chatbot using LLMs with SageMaker, where the two aforementioned solutions are wrapped and deployed.

Chatbots 73

Chatbots Enterprise Accountability Best practices 73

AWS Machine Learning

MARCH 28, 2024

If you’re implementing complex RAG applications into your daily tasks, you may encounter common challenges with your RAG systems such as inaccurate retrieval, increasing size and complexity of documents, and overflow of context, which can significantly impact the quality and reliability of generated answers. We use an ml.t3.medium

Telecommunications 113

Telecommunications Healthcare Transportation Accountability 113

AWS Machine Learning

MAY 3, 2023

LLMs have limitations around the maximum word count for the input prompt, therefore choosing the right passages among thousands or millions of documents in the enterprise, has a direct impact on the LLM’s accuracy. The index returns search results with excerpts of relevant documents from the ingested enterprise data.

Enterprise 68

Enterprise APIs Chatbots Government 68

AWS Machine Learning

MARCH 14, 2024

Whether creating a chatbot or summarization tool, you can shape powerful FMs to suit your needs. Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies like AI21 Labs, Anthropic, Cohere, Meta, Mistral AI, Stability AI, and Amazon via a single API.

Best practices 106

Best practices Engineering Chatbots Enterprise 106

JustCall

JANUARY 23, 2024

Set Up Your WhatsApp Business Account To begin using WhatsApp for customer service, establish a WhatsApp Business account. WhatsApp supports multimedia messages (images, videos, documents, etc.) Leveraging WhatsApp Business API for Scale The WhatsApp Business API is a game-changer for expanding businesses.

Customer Service 52

Customer Service APIs Customer Support Metrics 52

SmartKarrot

SEPTEMBER 25, 2020

With ‘ API-led connectivity ’, MuleSoft aims at unleashing the true potential of AI in data governance. Leading the customer relationship management industry, Zendesk offers AI tools including customer service chatbot software, etc. The cloud-based accounting software Xero connects people and businesses through its SaaS model.

SaaS 8

SaaS APIs Analytics Enterprise 8

SmartKarrot

SEPTEMBER 25, 2020

With ‘ API-led connectivity ’, MuleSoft aims at unleashing the true potential of AI in data governance. Leading the customer relationship management industry, Zendesk offers AI tools including customer service chatbot software, etc. The cloud-based accounting software Xero connects people and businesses through its SaaS model.

SaaS 8

SaaS APIs Analytics Enterprise 8

AWS Machine Learning

JUNE 27, 2023

If you have any questions or a request for volume discount, reach out to the model provider directly via the support email provided on the detail page or reach out to your AWS account team. The notebook also proceeds to install the ai21 Python SDK, which is a wrapper around SageMaker APIs such as deploy and invoke endpoint.

Enterprise 66

Enterprise APIs Scripts Chatbots 66

Real Blue Sky

MAY 18, 2022

With a properly scripted menu, customers can not only solve common service issues, but they can also access a brand’s return policy, obtain product information and pricing, pay a bill, start a return, drill-down on account specific information, and so much more. The Composable Desktop.

Interactive Voice Response 52

Interactive Voice Response Self service APIs Contact Center 52

AWS Machine Learning

JANUARY 19, 2024

Another example might be a healthcare provider who uses PLM inference endpoints for clinical document classification, named entity recognition from medical reports, medical chatbots, and patient risk stratification. Choose Request increase at account-level. For Increase quota value , enter a value of 5 or higher. Choose Request.

Metrics 98

Metrics Scripts Benchmark Enterprise 98

AWS Machine Learning

SEPTEMBER 29, 2022

The solution workflow contains the following steps: The admin deploys the QnABot solution into their AWS account, opens the Content Designer UI, and uses Amazon Cognito to authenticate. 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.

Virtual Agent 68

Virtual Agent Call flow Interactive Voice Response Contact Center 68

Nicereply

MAY 28, 2020

That might include a software version, account number or additional logs. chatbots) begin with. The consistency problem can be avoided by defining all the categories rigorously in a shared document, mentioning each edge case, like the one above, to what category it should belong. Building your training data for AI. Clean data.

Customer Support 92

Customer Support APIs Big data Personalization 92

AWS Machine Learning

APRIL 18, 2023

We make this possible in a few API calls in the JumpStart Industry SDK. Using the SageMaker API, we downloaded annual reports ( 10-K filings ; see How to Read a 10-K for more information) for a large number of companies. Use cases include custom chatbots, idea generation, entity extraction, classification, and sentiment analysis.

Finance 66

Finance Scripts APIs Sales 66