AWS Machine Learning

FEBRUARY 25, 2025

Since then, we have optimized data strategies, developed customized solutions for customers, and prepared for the technological revolution reshaping the industry. Its internal deployment strengthens our leadership in developing data analysis, homologation, and vehicle engineering solutions.

Chatbots 74

Chatbots Engineering Automotive Metrics 74

AWS Machine Learning

MARCH 19, 2025

They arent just building another chatbot; they are reimagining healthcare delivery at scale. In my decade working with customers data journeys, Ive seen that an organizations most valuable asset is its domain-specific data and expertise. Production-ready AI like this requires more than just cutting-edge models or powerful GPUs.

Healthcare 140

Healthcare Enterprise APIs Transportation 140

AWS Machine Learning

JULY 18, 2024

Using Anthropic’s Claude 3 Haiku on Amazon Bedrock , Lili developed an intelligent AccountantAI chatbot capable of providing on-demand accounting advice tailored to each customer’s financial history and unique business requirements. Data relevant to answering the customer's question. Contains the user's actual question.

Chatbots 132

Chatbots APIs Accountability Finance 132

AWS Machine Learning

SEPTEMBER 13, 2024

Intricate workflows that require dynamic and complex API orchestration can often be complex to manage. In this post, we explore how chaining domain-specific agents using Amazon Bedrock Agents can transform a system of complex API interactions into streamlined, adaptive workflows, empowering your business to operate with agility and precision.

APIs 132

APIs Enterprise Best practices Accountability 132

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 118

Chatbots APIs Engineering Enterprise 118

AWS Machine Learning

APRIL 10, 2025

Demystifying RAG and model customization RAG is a technique to enhance the capability of pre-trained models by allowing the model access to external domain-specific data sources. They offer fast inference, support agentic workflows with Amazon Bedrock Knowledge Bases and RAG, and allow fine-tuning for text and multi-modal data.

APIs 112

APIs Metrics Best practices Construction 112

AWS Machine Learning

SEPTEMBER 20, 2024

These agents help users complete actions based on organizational data and user input, orchestrating interactions between foundation models (FMs), data sources, software applications, and user conversations. Amazon Bedrock Agents offers developers the ability to build and configure autonomous agents in their applications.

APIs 105

APIs Chatbots Construction Engineering 105

AWS Machine Learning

NOVEMBER 14, 2024

Customers can use the SageMaker Studio UI or APIs to specify the SageMaker Model Registry model to be shared and grant access to specific AWS accounts or to everyone in the organization. The model is then A/B tested along with the use case in pre-production with production-like data settings and approved for deployment to the next stage.

Government 95

Government Management APIs Accountability 95

AWS Machine Learning

NOVEMBER 15, 2024

This post focuses on doing RAG on heterogeneous data formats. We first introduce routers, and how they can help managing diverse data sources. We then give tips on how to handle tabular data and will conclude with multimodal RAG, focusing specifically on solutions that handle both text and image data.

APIs 119

APIs Engineering Chatbots Construction 119

AWS Machine Learning

DECEMBER 11, 2024

We discuss how our sales teams are using it today, compare the benefits of Amazon Q Business as a managed service to the do-it-yourself option, review the data sources available and high-level technical design, and talk about some of our future plans. The following screenshot shows an example of an interaction with Field Advisor.

Sales 98

Sales Accountability APIs CRM 98

AWS Machine Learning

FEBRUARY 5, 2025

Incorporating your Data into the Conversation to provide factual, grounded responses aligned with your use case goals using retrieval augmented generation or by invoking functions as tools. Retrieval and Execution Rails: These govern how the AI interacts with external tools and data sources. The Llama 3.1 Heres how we implement this.

Chatbots 98

Chatbots Construction Best practices APIs 98

Netomi

SEPTEMBER 20, 2021

Chatbots are used by 1.4 Companies are launching their best AI chatbots to carry on 1:1 conversations with customers and employees. AI powered chatbots are also capable of automating various tasks, including sales and marketing, customer service, and administrative and operational tasks. What is an AI chatbot?

Chatbots 126

Chatbots APIs Surveys Analytics 126

AWS Machine Learning

MAY 30, 2024

Amazon Bedrock is a fully managed service that makes FMs from leading AI startups and Amazon available via an API, so one can choose from a wide range of FMs to find the model that is best suited for their use case. Data store Vitech’s product documentation is largely available in.pdf format, making it the standard format used by VitechIQ.

Chatbots 128

Chatbots Engineering APIs Technology 128

AWS Machine Learning

FEBRUARY 18, 2025

During these live events, F1 IT engineers must triage critical issues across its services, such as network degradation to one of its APIs. This impacts downstream services that consume data from the API, including products such as F1 TV, which offer live and on-demand coverage of every race as well as real-time telemetry.

APIs 73

APIs Engineering Metrics Big data 73

AWS Machine Learning

SEPTEMBER 4, 2024

Many ecommerce applications want to provide their users with a human-like chatbot that guides them to choose the best product as a gift for their loved ones or friends. Based on the discussion with the user, the chatbot should be able to query the ecommerce product catalog, filter the results, and recommend the most suitable products.

Chatbots 90

Chatbots APIs Construction Best practices 90

AWS Machine Learning

AUGUST 15, 2024

You can now provide contextual information from your private data sources that can be used to create rich, contextual, conversational experiences. Solution overview QnABot on AWS is an AWS Solution that enterprises can use to enable a multi-channel, multi-language chatbot with NLU to improve end customer experiences.

Chatbots 127

Chatbots Banking APIs Enterprise 127

Inbenta

JULY 2, 2018

Chatbots are a time-saving resource for internal employees whose energy is better spent on meaningful work and productivity. Internal chatbots have the potential to boost accessibility, efficiency, and employee satisfaction in your workplace. Chatbots are easy to use, setup, and deploy. Chatbots streamlining HR support.

Chatbots 110

Chatbots APIs Engineering Customer Support 110

Inbenta

JULY 3, 2020

However, WhatsApp users can now communicate with a company chatbot through the chat interface as they would talk to a real person. WhatsApp Business chatbots. WhatsApp Business offers an API (Application Programming Interface). Inbenta offers several integrations in order to deploy an Inbenta chatbot on WhatsApp Business.

Chatbots 98

Chatbots APIs Wait times CRM 98

AWS Machine Learning

MARCH 6, 2025

In the rapidly evolving landscape of artificial intelligence, Retrieval Augmented Generation (RAG) has emerged as a game-changer, revolutionizing how Foundation Models (FMs) interact with organization-specific data. It provides tools for chaining LLM operations, managing context, and integrating external data sources.

Metrics 109

Metrics Enterprise APIs Engineering 109

Comm100

OCTOBER 19, 2022

Chatbots are quickly becoming a long-term solution for customer service across all industries. A good chatbot will deliver exceptional value to your customers during their buying journey. But you can only deliver that positive value by making sure your chatbot features offer the best possible customer experience.

Chatbots 98

Chatbots APIs Analytics Upselling 98

AWS Machine Learning

JANUARY 5, 2024

Many organizations have been using a combination of on-premises and open source data science solutions to create and manage machine learning (ML) models. Data science and DevOps teams may face challenges managing these isolated tool stacks and systems.

Management 133

Management APIs Engineering Government 133

AWS Machine Learning

MARCH 1, 2024

Self-service bots integrated with your call center can help you achieve decreased wait times, intelligent routing, decreased time to resolution through self-service functions or data collection, and improved net promoter scores (NPS). Solution overview The following diagram illustrates the solution architecture. Choose Add Client.

Chatbots 121

Chatbots APIs Self service Contact Center 121

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. For example, you can use large language models (LLMs) for a financial forecast by providing data and market indicators as prompts.

Engineering 136

Engineering Chatbots Accountability Enterprise 136

AWS Machine Learning

APRIL 8, 2025

Automated customer Service To handle the thousands of daily customer inquiries, iFood has developed an AI-powered chatbot that can quickly resolve common issues and questions. In the past, the data science and engineering teams at iFood operated independently. The ML platform empowers the building and evolution of ML systems.

Engineering 96

Engineering Virtual Agent Management Technology 96

AWS Machine Learning

DECEMBER 6, 2023

Enterprises turn to Retrieval Augmented Generation (RAG) as a mainstream approach to building Q&A chatbots. These datasets are often a mix of numerical and text data, at times structured, unstructured, or semi-structured. We continue to see emerging challenges stemming from the nature of the assortment of datasets available.

Chatbots 124

Chatbots APIs Engineering CRM 124

AWS Machine Learning

JANUARY 4, 2024

We are seeing numerous uses, including text generation, code generation, summarization, translation, chatbots, and more. One such area that is evolving is using natural language processing (NLP) to unlock new opportunities for accessing data through intuitive SQL queries. What percentage of customers are from each region?”

Best practices 138

Best practices Enterprise Engineering APIs 138

Wowdesk Blog

FEBRUARY 4, 2025

This software helps automate tasks, centralize data, and optimize communication, allowing businesses to resolve issues faster, personalize customer interactions, and reduce costs. It includes help desk software , live chat support , ticketing system , and AI chatbots. Businesses using automation see a 25% boost in productivity.

Customer Support 52

Customer Support Chatbots Multi-channel support CRM 52

AWS Machine Learning

OCTOBER 24, 2024

Since the inception of AWS GenAIIC in May 2023, we have witnessed high customer demand for chatbots that can extract information and generate insights from massive and often heterogeneous knowledge bases. The second post outlines how to work with multiple data formats such as structured data (tables, databases) and images.

Chatbots 87

Chatbots Metrics Scripts APIs 87

Outsource Consultants

MARCH 14, 2025

AI in Healthcare CX: Smarter, Faster, and More Compliant Healthcare organizations have embraced AI tools like virtual assistants, chatbots, and real-time agent support to dramatically reduce wait times, improve accuracy, and deliver personalized patient interactionsall without sacrificing compliance.

Healthcare 67

Healthcare Customer Support Virtual Agent outsourcing 67

AWS Machine Learning

NOVEMBER 19, 2024

The technical sessions covering generative AI are divided into six areas: First, we’ll spotlight Amazon Q , the generative AI-powered assistant transforming software development and enterprise data utilization. We’ll cover Amazon Bedrock Agents , capable of running complex tasks using your company’s systems and data.

APIs 94

APIs Enterprise Best practices Government 94

AWS Machine Learning

JUNE 12, 2023

Open-source LLMs provide transparency to the model architecture, training process, and training data, which allows researchers to understand how the model works and identify potential biases and address ethical concerns. This model allows developers to have more control over the chatbot’s behavior and tailor it to their specific applications.

Chatbots 92

Chatbots APIs Engineering Enterprise 92

AWS Machine Learning

FEBRUARY 14, 2023

For instance, faculty in an educational institution belongs to different departments, and if a professor belonging to the computer science department signs in to the application and searches with the keywords “ faculty courses ,” then documents relevant to the same department come up as the top results, based on data source availability.

Chatbots 93

Chatbots APIs Construction Education 93

AWS Machine Learning

AUGUST 7, 2024

AI chatbots and virtual assistants have become increasingly popular in recent years thanks the breakthroughs of large language models (LLMs). Most common use cases for chatbot assistants focus on a few key areas, including enhancing customer experiences, boosting employee productivity and creativity, or optimizing business processes.

APIs 132

APIs Chatbots Metrics Education 132

AWS Machine Learning

MARCH 18, 2025

RAG is a framework for building generative AI applications that can make use of enterprise data sources and vector databases to overcome knowledge limitations. RAG works by using a retriever module to find relevant information from an external data store in response to a users prompt. I am creating a new metric and need the sales data.

Enterprise 98

Enterprise Chatbots Engineering Metrics 98

AWS Machine Learning

JANUARY 31, 2024

By combining embeddings that capture semantics with a technique called Retrieval Augmented Generation (RAG) , you can generate more relevant answers based on retrieved context from your own data sources. Sync your knowledge base with your data source. To inquire about a license and access sample data, visit developer.imdb.com.

Chatbots 116

Chatbots Entertainment Advertising APIs 116

Inbenta

JUNE 1, 2021

Summary: Use Cases of AI Chatbots for Internal Employees. Chatbots Streamline HR Support. Chatbots Facilitate Employee Onboarding. Chatbots Help With Day-to-Day Tasks. Chatbots Prove the Source of Truth: From Taxes to GDPR. Chatbots Empower Physical Robots. Chatbots are easy to use, setup, and deploy.

Chatbots 83

Chatbots APIs Engineering Customer Support 83

AWS Machine Learning

NOVEMBER 22, 2023

The financial service (FinServ) industry has unique generative AI requirements related to domain-specific data, data security, regulatory controls, and industry compliance standards. Data security – Ensuring the security of inference payload data is paramount.

Engineering 120

Engineering Chatbots Benchmark APIs 120