AWS Machine Learning - AI

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 133

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AWS Machine Learning - AI

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.

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Knowledge Base Artificial Inteligence Study AWS 137

AWS Machine Learning - AI

AUGUST 5, 2024

Retrieval Augmented Generation (RAG) is a state-of-the-art approach to building question answering systems that combines the strengths of retrieval and foundation models (FMs). RAG models first retrieve relevant information from a large corpus of text and then use a FM to synthesize an answer based on the retrieved information.

Knowledge Base 125

Knowledge Base AWS Generative AI Artificial Inteligence 125

AWS Machine Learning - AI

JULY 1, 2024

Organizations strive to implement efficient, scalable, cost-effective, and automated customer support solutions without compromising the customer experience. You can simply connect QnAIntent to company knowledge sources and the bot can immediately handle questions using the allowed content. Choose Create knowledge base.

Knowledge Base 126

Knowledge Base Artificial Inteligence Generative AI AWS 126

AWS Machine Learning - AI

MARCH 5, 2025

Ground truth data in AI refers to data that is known to be factual, representing the expected use case outcome for the system being modeled. By providing an expected outcome to measure against, ground truth data unlocks the ability to deterministically evaluate system quality.

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Generative AI Systems Review Software Review Artificial Inteligence 76

AWS Machine Learning - AI

DECEMBER 11, 2024

In the same spirit of using generative AI to equip our sales teams to most effectively meet customer needs, this post reviews how weve delivered an internally-facing conversational sales assistant using Amazon Q Business. The following screenshot shows an example of an interaction with Field Advisor.

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AWS Generative AI Technical Review Artificial Inteligence 109

AWS Machine Learning - AI

MARCH 11, 2025

Although GPT-4o has gained traction in the AI community, enterprises are showing increased interest in Amazon Nova due to its lower latency and cost-effectiveness. This is a crucial requirement for enterprises that want their AI systems to provide responses strictly within a defined scope.

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Artificial Inteligence Knowledge Base Comparison Generative AI 111

AWS Machine Learning - AI

APRIL 1, 2025

Whether youre an experienced AWS developer or just getting started with cloud development, youll discover how to use AI-powered coding assistants to tackle common challenges such as complex service configurations, infrastructure as code (IaC) implementation, and knowledge base integration.

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AWS Software Review Knowledge Base Artificial Inteligence 119

AWS Machine Learning - AI

MARCH 20, 2025

With Amazon Bedrock Data Automation, enterprises can accelerate AI adoption and develop solutions that are secure, scalable, and responsible. Legal teams accelerate contract analysis and compliance reviews , and in oil and gas , IDP enhances safety reporting.

Data 117

Data Generative AI Artificial Inteligence Compliance 117

AWS Machine Learning - AI

NOVEMBER 15, 2024

As Principal grew, its internal support knowledge base considerably expanded. With QnABot, companies have the flexibility to tier questions and answers based on need, from static FAQs to generating answers on the fly based on documents, webpages, indexed data, operational manuals, and more.

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AWS Machine Learning - AI

JANUARY 29, 2025

It encompasses a range of measures aimed at mitigating risks, promoting accountability, and aligning generative AI systems with ethical principles and organizational objectives. With Amazon Bedrock Knowledge Bases , you securely connect FMs in Amazon Bedrock to your company data for RAG. These safeguards are FM agnostic.

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AWS Machine Learning - AI

NOVEMBER 20, 2024

In this post, we explore how you can use Amazon Q Business , the AWS generative AI-powered assistant, to build a centralized knowledge base for your organization, unifying structured and unstructured datasets from different sources to accelerate decision-making and drive productivity. you might need to edit the connection.

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Data AWS Groups Knowledge Base 111

AWS Machine Learning - AI

MARCH 20, 2025

The Asure team was manually analyzing thousands of call transcripts to uncover themes and trends, a process that lacked scalability. Staying ahead in this competitive landscape demands agile, scalable, and intelligent solutions that can adapt to changing demands. The following screenshots show the UI.

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Generative AI Artificial Inteligence Metrics AWS 92

AWS Machine Learning - AI

JANUARY 22, 2025

Users can review different types of events such as security, connectivity, system, and management, each categorized by specific criteria like threat protection, LAN monitoring, and firmware updates. Retrieval Augmented Generation (RAG) Retrieve relevant context from a knowledge base, based on the input query.

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Network Artificial Inteligence Machine Learning Serverless 111

AWS Machine Learning - AI

MAY 30, 2024

Retrieval Augmented Generation vs. fine tuning Traditional LLMs don’t have an understanding of Vitech’s processes and flow, making it imperative to augment the power of LLMs with Vitech’s knowledge base. Prompt engineering Prompt engineering is crucial for the knowledge retrieval system.

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Artificial Inteligence Technical Review Development Team Review Software Review 131

AWS Machine Learning - AI

SEPTEMBER 23, 2024

Evaluating your Retrieval Augmented Generation (RAG) system to make sure it fulfils your business requirements is paramount before deploying it to production environments. With synthetic data, you can streamline the evaluation process and gain confidence in your system’s capabilities before unleashing it to the real world.

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Artificial Inteligence Systems Review System Data 93

AWS Machine Learning - AI

APRIL 24, 2024

With AWS generative AI services like Amazon Bedrock , developers can create systems that expertly manage and respond to user requests. An AI assistant is an intelligent system that understands natural language queries and interacts with various tools, data sources, and APIs to perform tasks or retrieve information on behalf of the user.

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Artificial Inteligence Lambda Knowledge Base IoT 137

Perficient

JANUARY 9, 2025

Scalability and Performance MuleSoft It is suitable for enterprise-level applications and is designed to handle large-scale integrations and high data volumes. The architecture supports microservices, enhancing scalability and performance. Some users may find this limiting if they require on-premises solutions for sensitive data.

Technical Review 52

Technical Review Scalability Systems Review Enterprise 52

AWS Machine Learning - AI

AUGUST 6, 2024

The solution is powered by Amazon Bedrock and customized with data to go beyond traditional email-based systems. Retrieval-Augmented Generation (RAG) is the process of allowing a language model to consult an authoritative knowledge base outside of its training data sources—before generating a response.

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AWS Machine Learning - AI

FEBRUARY 25, 2025

For example: SCP or IAM policy violations Guides developers when they encounter permission issues due to SCPs or strict AWS Identity and Access Management (IAM) boundaries, offering alternatives or escalation paths. Example 2: The following screenshot shows an example of a Terraform error due to a missing variable value.

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Lambda Generative AI AWS Software Review 65

AWS Machine Learning - AI

OCTOBER 15, 2024

By using Amazon Bedrock Agents , action groups , and Amazon Bedrock Knowledge Bases , we demonstrate how to build a migration assistant application that rapidly generates migration plans, R-dispositions, and cost estimates for applications migrating to AWS.

Lambda 93

Lambda Knowledge Base AWS Generative AI 93

Altexsoft

JUNE 20, 2019

Database Management System or DBMS is a software which communicates with the database itself, applications, and user interfaces to obtain and parse data. For our comparison, we’ve picked 9 most commonly used database management systems: MySQL, MariaDB, Oracle, PostgreSQL, MSSQL, MongoDB, Redis, Cassandra, and Elasticsearch. Relational.

Systems Review 85

Systems Review System Software Review Open Source 85

CIO

JULY 22, 2024

This is because the most commonly used forms of upskilling (knowledge-based, content-driven, and assessed via online quizzes) aren’t enough for real-world impactful skilling. With traditional training programs, we’re seeing the problem only get worse. The team turned to virtual IT labs as an alternative.

Technical Review 167

Technical Review Performance Training Software Review 167

John Snow Labs

DECEMBER 13, 2024

Building a Better way to Practice Functional & Integrative Medicine Functional medicine emphasizes a personalized, systems-based methodology focused on root cause analysis, prevention, and long-term health improvement. Functional medicine often deals with intricate, multi-system issues.

Knowledge Base 52

Knowledge Base Generative AI Artificial Inteligence Guidelines 52

AWS Machine Learning - AI

NOVEMBER 7, 2024

Depending on the use case and data isolation requirements, tenants can have a pooled knowledge base or a siloed one and implement item-level isolation or resource level isolation for the data respectively. Humans can perform a variety of tasks, from data generation and annotation to model review, customization, and evaluation.

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Generative AI AWS Enterprise Artificial Inteligence 113

AWS Machine Learning - AI

AUGUST 2, 2024

An approach to product stewardship with generative AI Large language models (LLMs) are trained with vast amounts of information crawled from the internet, capturing considerable knowledge from multiple domains. However, their knowledge is static and tied to the data used during the pre-training phase.

Artificial Inteligence 126

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AWS Machine Learning - AI

MAY 13, 2024

In this part of the blog series, we review techniques of prompt engineering and Retrieval Augmented Generation (RAG) that can be employed to accomplish the task of clinical report summarization by using Amazon Bedrock. Radiology reports for the images were identified and extracted from the hospital’s electronic health records (EHR) system.

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Generative AI Artificial Inteligence Report Healthcare 136

AWS Machine Learning - AI

MAY 9, 2024

The Opportunity Verisk FAST’s initial foray into using AI was due to the immense breadth and complexity of the platform. Having that transparency helped Verisk identify areas of the system where their documents were lacking and needed some restructuring. However, they understood that this was not a one-and-done effort.

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Generative AI Artificial Inteligence Technical Review Development Team Review 129

AWS Machine Learning - AI

SEPTEMBER 18, 2024

Generative AI and large language models (LLMs) offer new possibilities, although some businesses might hesitate due to concerns about consistency and adherence to company guidelines. UX/UI designers have established best practices and design systems applicable to all of their websites.

Generative AI 127

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AWS Machine Learning - AI

AUGUST 26, 2024

Our internal AI sales assistant, powered by Amazon Q Business , will be available across every modality and seamlessly integrate with systems such as internal knowledge bases, customer relationship management (CRM), and more. From the period of September 2023 to March 2024, sellers leveraging GenAI Account Summaries saw a 4.9%

Generative AI 128

Generative AI AWS Artificial Inteligence Technical Review 128

Perficient

NOVEMBER 20, 2024

Example Use Case: Intent Detection for Airline Customer Service Let’s consider an airline company using an automated system to respond to customer emails. The goal is to detect the intent behind each email accurately, enabling the system to route the message to the appropriate department or generate a relevant response.

Artificial Inteligence 52

Artificial Inteligence Metrics Airlines Travel 52

AWS Machine Learning - AI

JUNE 5, 2024

Although new features were released every other week, documentation for the features took an average of 3 weeks to complete, including drafting, review, and publication. The review process could also be long depending on the number of inaccuracies found, leading to additional revisions, additional reviews, and additional delays.

Technical Review 126

Technical Review Artificial Inteligence Generative AI Systems Review 126

AWS Machine Learning - AI

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. The result is improved accuracy in FM responses, with reduced hallucinations due to grounding in verified data.

Lambda 93

Lambda Knowledge Base AWS Generative AI 93

AWS Machine Learning - AI

MARCH 14, 2024

The skills needed to properly integrate, customize, and validate FMs within existing systems and data are in short supply. With Knowledge Bases for Amazon Bedrock , you can give FMs and agents contextual information from your company’s private data sources for RAG to deliver more relevant, accurate, and customized responses.

Generative AI 135

Generative AI AWS Applications Artificial Inteligence 135

Samanage

JULY 17, 2019

Here are a few common types of data in the service desk world that you may be able to collect or need to have on hand when making a switch: Knowledge base articles or documents. You do your due diligence researching consumer products every day. Configuration items. Users and groups. Roles and permissions data.

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Development Team Review Software Review Technical Review Systems Review 71

AWS Machine Learning - AI

OCTOBER 2, 2024

We start this post by reviewing the foundational operational elements a generative AI platform team needs to initially focus on as they transition generative solutions from a proof of concept or prototype phase to a production-ready solution. This is illustrated in the following diagram. Where to start?

Generative AI 129

Generative AI Artificial Inteligence AWS Government 129

AWS Machine Learning - AI

DECEMBER 6, 2023

To create AI assistants that are capable of having discussions grounded in specialized enterprise knowledge, we need to connect these powerful but generic LLMs to internal knowledge bases of documents. In Part 1, we review the RAG design pattern and its limitations on analytical questions.

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Artificial Inteligence Analytics Knowledge Base Lambda 126