AWS Machine Learning - AI

NOVEMBER 7, 2024

While organizations continue to discover the powerful applications of generative AI , adoption is often slowed down by team silos and bespoke workflows. To move faster, enterprises need robust operating models and a holistic approach that simplifies the generative AI lifecycle.

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AWS Machine Learning - AI

FEBRUARY 11, 2025

In this new era of emerging AI technologies, we have the opportunity to build AI-powered assistants tailored to specific business requirements. Large-scale data ingestion is crucial for applications such as document analysis, summarization, research, and knowledge management.

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AWS Machine Learning - AI

NOVEMBER 15, 2024

As Principal grew, its internal support knowledge base considerably expanded. With the QnABot on AWS (QnABot), integrated with Microsoft Azure Entra ID access controls, Principal launched an intelligent self-service solution rooted in generative AI. This allowed fine-tuned management of user access to content and systems.

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Generative AI AWS Groups Artificial Inteligence 113

TechEmpower CTO

OCTOBER 9, 2023

Artificial Intelligence (AI), and particularly Large Language Models (LLMs), have significantly transformed the search engine as we’ve known it. With Generative AI and LLMs, new avenues for improving operational efficiency and user satisfaction are emerging every day.

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Generative AI Artificial Inteligence How To Systems Review 346

AWS Machine Learning - AI

NOVEMBER 22, 2024

Companies across all industries are harnessing the power of generative AI to address various use cases. Cloud providers have recognized the need to offer model inference through an API call, significantly streamlining the implementation of AI within applications.

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AWS Machine Learning - AI

JANUARY 29, 2025

Generative AI can revolutionize organizations by enabling the creation of innovative applications that offer enhanced customer and employee experiences. In this post, we evaluate different generative AI operating model architectures that could be adopted.

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AWS Machine Learning - AI

NOVEMBER 22, 2024

With Bedrock Flows, you can quickly build and execute complex generative AI workflows without writing code. Key benefits include: Simplified generative AI workflow development with an intuitive visual interface. Flexibility to define the workflow based on your business logic.

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AWS Machine Learning - AI

MARCH 20, 2025

Generative AI agents offer a powerful solution by automatically interfacing with company systems, executing tasks, and delivering instant insights, helping organizations scale operations without scaling complexity. The following diagram illustrates the generative AI agent solution workflow.

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CIO

JANUARY 9, 2025

These AI-based tools are particularly useful in two areas: making internal knowledge accessible and automating customer service. Chatbots are used to build response systems that give employees quick access to extensive internal knowledge bases, breaking down information silos.

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AWS Machine Learning - AI

NOVEMBER 7, 2024

Generative AI has transformed customer support, offering businesses the ability to respond faster, more accurately, and with greater personalization. AI agents , powered by large language models (LLMs), can analyze complex customer inquiries, access multiple data sources, and deliver relevant, detailed responses.

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Lambda Enterprise Automotive Knowledge Base 126

AWS Machine Learning - AI

NOVEMBER 20, 2024

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 through a single API, along with a broad set of capabilities to build generative AI applications with security, privacy, and responsible AI.

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AWS Machine Learning - AI

MARCH 7, 2025

At the forefront of using generative AI in the insurance industry, Verisks generative AI-powered solutions, like Mozart, remain rooted in ethical and responsible AI use. Security and governance Generative AI is very new technology and brings with it new challenges related to security and compliance.

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AWS Machine Learning - AI

APRIL 10, 2025

The introduction of Amazon Nova models represent a significant advancement in the field of AI, offering new opportunities for large language model (LLM) optimization. In this post, we demonstrate how to effectively perform model customization and RAG with Amazon Nova models as a baseline.

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AWS Machine Learning - AI

NOVEMBER 12, 2024

Use case examples Let’s look at a few sample prompts with generated analysis. The following question requires complex industry knowledge-based analysis of data from multiple columns in the ETF database. High five-year return**: Funds with higher fiveyearreturncur indicate better performance over the past 5 years.

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Generative AI Artificial Inteligence Industry Analysis 105

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 Machine Learning - AI

JULY 3, 2024

Knowledge Bases for Amazon Bedrock is a fully managed capability that helps you securely connect foundation models (FMs) in Amazon Bedrock to your company data using Retrieval Augmented Generation (RAG). In the following sections, we demonstrate how to create a knowledge base with guardrails.

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AWS Machine Learning - AI

APRIL 29, 2025

Generative AI is rapidly reshaping industries worldwide, empowering businesses to deliver exceptional customer experiences, streamline processes, and push innovation at an unprecedented scale. Specifically, we discuss Data Replys red teaming solution, a comprehensive blueprint to enhance AI safety and responsible AI practices.

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TechCrunch

FEBRUARY 22, 2023

It is also offering AI-powered summarization “in the context of search”, per Brenssell — a feature it refers to as a “Generative Knowledge Base” (or “intelligent search”) — in the form of a browser plug-in. So that’s kind of what’s what we see in the market.

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AWS Machine Learning - AI

MARCH 20, 2025

Asure anticipated that generative AI could aid contact center leaders to understand their teams support performance, identify gaps and pain points in their products, and recognize the most effective strategies for training customer support representatives using call transcripts. Yasmine Rodriguez, CTO of Asure.

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CIO

NOVEMBER 13, 2024

If gen AI can help an employee craft a well-written email 10 times faster, they might respond to 10 times as many emails as they did before — emails someone else will now have to read and maybe respond to as well. That means AI output will require additional oversight, review, editing, correction, or re-work. Hold off,” says Ross.

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AWS Machine Learning - AI

MARCH 5, 2025

Generative AI question-answering applications are pushing the boundaries of enterprise productivity. These assistants can be powered by various backend architectures including Retrieval Augmented Generation (RAG), agentic workflows, fine-tuned large language models (LLMs), or a combination of these techniques.

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Ivanti

JUNE 11, 2024

Interest in generative AI has skyrocketed since the release of tools like ChatGPT, Google Gemini, Microsoft Copilot and others. Organizations are treading cautiously with generative AI tools despite seeing them as a game changer. Knowledge articles, particularly for HR, can be personalized by region or language.

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Knowledge Base Generative AI Artificial Inteligence How To 95

AWS Machine Learning - AI

APRIL 23, 2024

Aligning generative AI applications with this framework is essential for several reasons, including providing scalability, maintaining security and privacy, achieving reliability, optimizing costs, and streamlining operations.

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Knowledge Base Scalability Applications Generative AI 125

AWS Machine Learning - AI

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. The generative AI capability of QnAIntent in Amazon Lex lets you securely connect FMs to company data for RAG.

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AWS Machine Learning - AI

AUGUST 6, 2024

I explored how Bedrock enables customers to build a secure, compliant foundation for generative AI applications. However, our customers tell us that while pre-trained LLMs excel at analyzing vast amounts of data, they often lack the specialized knowledge necessary to tackle specific business challenges. Learn more here.

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Generative AI Artificial Inteligence Applications Knowledge Base 136

AWS Machine Learning - AI

FEBRUARY 8, 2024

Generative AI agents are a versatile and powerful tool for large enterprises. These agents excel at automating a wide range of routine and repetitive tasks, such as data entry, customer support inquiries, and content generation. System integration – Agents make API calls to integrated company systems to run specific actions.

Knowledge Base 139

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AWS Machine Learning - AI

JANUARY 29, 2025

Open foundation models (FMs) have become a cornerstone of generative AI innovation, enabling organizations to build and customize AI applications while maintaining control over their costs and deployment strategies. The resulting distilled models, such as DeepSeek-R1-Distill-Llama-8B (from base model Llama-3.1-8B

Generative AI 128

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AWS Machine Learning - AI

MARCH 1, 2024

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

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AWS Machine Learning - AI

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.

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Knowledge Base AWS Generative AI Artificial Inteligence 123

AWS Machine Learning - AI

NOVEMBER 15, 2024

The rapid advancement of generative AI promises transformative innovation, yet it also presents significant challenges. Concerns about legal implications, accuracy of AI-generated outputs, data privacy, and broader societal impacts have underscored the importance of responsible AI development.

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Applications Generative AI AWS Artificial Inteligence 109

AWS Machine Learning - AI

DECEMBER 11, 2024

Earlier this year, we published the first in a series of posts about how AWS is transforming our seller and customer journeys using generative AI. Our sales, marketing, and operations teams use Field Advisor to brainstorm new ideas, as well as generate personalized outreach that they can use with their customers and stakeholders.

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AWS Machine Learning - AI

FEBRUARY 29, 2024

Amazon Bedrock provides a broad range of models from Amazon and third-party providers, including Anthropic, AI21, Meta, Cohere, and Stability AI, and covers a wide range of use cases, including text and image generation, embedding, chat, high-level agents with reasoning and orchestration, and more.

Knowledge Base 135

Knowledge Base Artificial Inteligence Study AWS 135

AWS Machine Learning - AI

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 127

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AWS Machine Learning - AI

MARCH 20, 2025

Gartner predicts that by 2027, 40% of generative AI solutions will be multimodal (text, image, audio and video) by 2027, up from 1% in 2023. The McKinsey 2023 State of AI Report identifies data management as a major obstacle to AI adoption and scaling.

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AWS Machine Learning - AI

SEPTEMBER 25, 2024

Amazon Bedrock is a fully managed service that offers a choice of high-performing FMs from leading AI companies like AI21 Labs, Anthropic, Cohere, Meta, Mistral AI, Stability AI, and Amazon through a single API, along with a broad set of capabilities to build generative AI applications with security, privacy, and responsible AI.

Knowledge Base 117

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AWS Machine Learning - AI

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 132

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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.

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