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.

Generative AI 100

Generative AI AWS Artificial Inteligence Enterprise 100

AWS Machine Learning - AI

NOVEMBER 6, 2024

In this post, we share how Hearst , one of the nation’s largest global, diversified information, services, and media companies, overcame these challenges by creating a self-service generative AI conversational assistant for business units seeking guidance from their CCoE.

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Generative AI Government Technical Review Innovation 92

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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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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Generative AI AWS Technical Review Backup 74

CIO

NOVEMBER 1, 2024

I want to provide an easy and secure outlet that’s genuinely production-ready and scalable. It’s very fragmented, ownership is often unclear, quality is a variable, but we have teams really working on that and generating data faster than we can possibly catalog and clean up.” The biggest challenge is data.

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Generative AI Technical Advisors Insurance Weak Development Team 183

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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Generative AI Organization Enterprise Artificial Inteligence 76

AWS Machine Learning - AI

APRIL 23, 2024

Generative artificial intelligence (AI) has gained significant momentum with organizations actively exploring its potential applications. As successful proof-of-concepts transition into production, organizations are increasingly in need of enterprise scalable solutions.

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Knowledge Base Scalability Applications Generative AI 117

CIO

NOVEMBER 1, 2024

I want to provide an easy and secure outlet that’s genuinely production-ready and scalable. It’s very fragmented, ownership is often unclear, quality is a variable, but we have teams really working on that and generating data faster than we can possibly catalog and clean up.” The biggest challenge is data.

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Generative AI Technical Advisors Insurance Weak Development Team 158

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.

Generative AI 69

Generative AI Artificial Inteligence Metrics AWS 69

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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Generative AI Technical Review Insurance Policies 78

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 111

Dzone - DevOps

JANUARY 9, 2025

By using generative AI agents , organizations can get real-time insights and automate their processes. This helps them depend less on manual work and be more efficient and scalable. This changes how systems work in today's dynamic tech environments.

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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 115

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.

Data 99

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AWS Machine Learning - AI

APRIL 10, 2025

They offer fast inference, support agentic workflows with Amazon Bedrock Knowledge Bases and RAG, and allow fine-tuning for text and multi-modal data. To do so, we create a knowledge base. Complete the following steps: On the Amazon Bedrock console, choose Knowledge Bases in the navigation pane. Choose Next.

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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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Generative AI Systems Review Artificial Inteligence Software Review 74

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. Amazon Bedrock simplifies the process of developing and scaling generative AI applications powered by large language models (LLMs) and other foundation models (FMs).

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Knowledge Base Artificial Inteligence Generative AI AWS 112

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 114

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 126

Knowledge Base Artificial Inteligence Study AWS 126

AWS Machine Learning - AI

DECEMBER 4, 2024

Organizations can use these models securely, and for models that are compatible with the Amazon Bedrock Converse API, you can use the robust toolkit of Amazon Bedrock, including Amazon Bedrock Agents , Amazon Bedrock Knowledge Bases , Amazon Bedrock Guardrails , and Amazon Bedrock Flows.

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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.

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Generative AI Artificial Inteligence Applications Knowledge Base 125

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.

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Knowledge Base Artificial Inteligence Analysis AWS 108

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.

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Knowledge Base Artificial Inteligence Lambda Authentication 115

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. You can access your imported custom models on-demand and without the need to manage underlying infrastructure.

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Generative AI Artificial Inteligence AWS Serverless 117

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. The following diagram illustrates Field Advisors high-level architecture: Solution overview We built Field Advisor using the built-in capabilities of Amazon Q Business.

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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 122

Knowledge Base Artificial Inteligence Lambda Applications 122

AWS Machine Learning - AI

MARCH 18, 2025

As generative AI adoption accelerates across enterprises, maintaining safe, responsible, and compliant AI interactions has never been more critical. Amazon Bedrock Guardrails provides configurable safeguards that help organizations build generative AI applications with industry-leading safety protections.

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Policies Generative AI Resources AWS 79

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 108

Knowledge Base Artificial Inteligence Applications Lambda 108

AWS Machine Learning - AI

FEBRUARY 1, 2024

Resilience plays a pivotal role in the development of any workload, and generative AI workloads are no different. There are unique considerations when engineering generative AI workloads through a resilience lens. Scalability – How many vectors can the system hold?

Generative AI 125

Generative AI Disaster Recovery Artificial Inteligence AWS 125

AWS Machine Learning - AI

AUGUST 5, 2024

Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies through a single API, along with a broad set of capabilities to build generative AI applications with security, privacy, and responsible AI. and the AWS SDK for Python (Boto3).

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Knowledge Base Artificial Inteligence Programming Generative AI 97

AWS Machine Learning - AI

MAY 13, 2024

This is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading artificial intelligence (AI) companies like AI21 Labs, Anthropic, Cohere, Meta, Stability AI, and Amazon through a single API. We used the Amazon Titan Text Embeddings model on Amazon Bedrock to generate vector embeddings.

Generative AI 118

Generative AI Artificial Inteligence Report Healthcare 118

AWS Machine Learning - AI

SEPTEMBER 24, 2024

With a user base of over 37 million active consumers and 2 million monthly active Dashers at the end of 2023, the company recognized the need to reduce the burden on its live agents by providing a more efficient self-service experience for Dashers. This solution uses Amazon Bedrock LLMs to find answers to questions from your knowledge base.

Knowledge Base 89

Knowledge Base Generative AI Artificial Inteligence Lambda 89

AWS Machine Learning - AI

MARCH 11, 2025

The growing need for cost-effective AI models The landscape of generative AI is rapidly evolving. 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. In this section, we explore each component in more detail.

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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.

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Data AWS Groups Knowledge Base 104

AWS Machine Learning - AI

MARCH 14, 2024

Generative AI applications driven by foundational models (FMs) are enabling organizations with significant business value in customer experience, productivity, process optimization, and innovations. In this post, we explore different approaches you can take when building applications that use generative AI.

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Generative AI AWS Applications Artificial Inteligence 118

AWS Machine Learning - AI

AUGUST 28, 2024

The complexity of developing and deploying an end-to-end RAG solution involves several components, including a knowledge base, retrieval system, and generative language model. Solution overview The solution provides an automated end-to-end deployment of a RAG workflow using Knowledge Bases for Amazon Bedrock.

Knowledge Base 82

Knowledge Base AWS Generative AI Artificial Inteligence 82

AWS Machine Learning - AI

MAY 9, 2024

In this post, we describe the development of the customer support process in FAST incorporating generative AI, the data, the architecture, and the evaluation of the results. Conversational AI assistants are rapidly transforming customer and employee support. This improved results over just generic text search.

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Generative AI Artificial Inteligence Technical Review Development Team Review 125