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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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 following diagram illustrates the solution architecture and workflow. Create an Amazon Lex bot.

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AWS Machine Learning - AI

SEPTEMBER 25, 2024

In the realm of generative artificial intelligence (AI) , Retrieval Augmented Generation (RAG) has emerged as a powerful technique, enabling foundation models (FMs) to use external knowledge sources for enhanced text generation. Latest innovations in Amazon Bedrock Knowledge Base provide a resolution to this issue.

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AWS Machine Learning - AI

APRIL 23, 2024

Generative artificial intelligence (AI) has gained significant momentum with organizations actively exploring its potential applications. However, to unlock the long-term success and viability of these AI-powered solutions, it is crucial to align them with well-established architectural principles.

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AWS Machine Learning - AI

FEBRUARY 8, 2024

You can now use Agents for Amazon Bedrock and Knowledge Bases for Amazon Bedrock to configure specialized agents that seamlessly run actions based on natural language input and your organization’s data. The following diagram illustrates the solution architecture. The following are some example prompts: Create a new claim.

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AWS Machine Learning - AI

OCTOBER 29, 2024

We have built a custom observability solution that Amazon Bedrock users can quickly implement using just a few key building blocks and existing logs using FMs, Amazon Bedrock Knowledge Bases , Amazon Bedrock Guardrails , and Amazon Bedrock Agents. versions, catering to different programming preferences.

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AWS Machine Learning - AI

DECEMBER 11, 2024

When Amazon Q Business became generally available in April 2024, we quickly saw an opportunity to simplify our architecture, because the service was designed to meet the needs of our use caseto provide a conversational assistant that could tap into our vast (sales) domain-specific knowledge bases.

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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.

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CIO

AUGUST 8, 2024

The business narrative around generative artificial intelligence (GenAI) has been consumed with real-world use cases. The process would start with an overhaul of large on-premises or on-cloud applications and platforms, focused on migrating everything to the latest tech architecture.

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AWS Machine Learning - AI

NOVEMBER 15, 2024

As Principal grew, its internal support knowledge base considerably expanded. Principal wanted to use existing internal FAQs, documentation, and unstructured data and build an intelligent chatbot that could provide quick access to the right information for different roles.

Generative AI 113

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AWS Machine Learning - AI

JANUARY 29, 2025

In this post, we evaluate different generative AI operating model architectures that could be adopted. Generative AI architecture components Before diving deeper into the common operating model patterns, this section provides a brief overview of a few components and AWS services used in the featured architectures.

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AWS Machine Learning - AI

JANUARY 29, 2025

Accelerate your generative AI application development by integrating your supported custom models with native Bedrock tools and features like Knowledge Bases, Guardrails, and Agents. The resulting distilled models, such as DeepSeek-R1-Distill-Llama-8B (from base model Llama-3.1-8B 8B 128K model to 8 Units for a Llama 3.1

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AWS Machine Learning - AI

SEPTEMBER 24, 2024

It’s a fully serverless architecture that uses Amazon OpenSearch Serverless , which can run petabyte-scale workloads, without you having to manage the underlying infrastructure. The following diagram illustrates the solution architecture. This solution uses Amazon Bedrock LLMs to find answers to questions from your knowledge base.

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CIO

MARCH 18, 2024

“We are embedding AI in our enterprise applications, and we’ve designed it in such a way that customers in the cloud can consume it easily, as-a-service, out-of-the-box,” said Philipp Herzig, SAP chief artificial intelligence officer (CAIO). We wanted to design it in a way that customers don’t have to care about complexity,” he said.

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CIO

APRIL 25, 2023

Five years later, transformer architecture has evolved to create powerful models such as ChatGPT. ChatGPT’s conversational interface is a distinguished method of accessing its knowledge. This interface paired with increased tokens and an expansive knowledge base with many more parameters, helps ChatGPT to seem quite human-like.

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CIO

APRIL 12, 2024

prides itself in delivering “legendary” customer service, and it has turned to artificial intelligence to assist with that goal. Explaining life out here The Hey GURA assistant includes a wide-ranging “life out here” knowledge base, echoing Tractor Supply’s corporate brand message. Tractor Supply Co.

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AWS Machine Learning - AI

MARCH 7, 2025

In this post, we describe the development journey of the generative AI companion for Mozart, the data, the architecture, and the evaluation of the pipeline. The following diagram illustrates the solution architecture. You can create a decoupled architecture with reusable components. Connect with him on LinkedIn.

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Cloudera

DECEMBER 20, 2023

Cloudera is launching and expanding partnerships to create a new enterprise artificial intelligence “AI” ecosystem. In the AMP, Pinceone’s vector database uses these knowledge bases to imbue context into chatbot responses, ensuring useful outputs.

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AWS Machine Learning - AI

JULY 11, 2024

This solution shows how Amazon Bedrock agents can be configured to accept cloud architecture diagrams, automatically analyze them, and generate Terraform or AWS CloudFormation templates. Solution overview Before we explore the deployment process, let’s walk through the key steps of the architecture as illustrated in Figure 1.

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AWS Machine Learning - AI

NOVEMBER 1, 2024

Although tagging is supported on a variety of Amazon Bedrock resources —including provisioned models, custom models, agents and agent aliases, model evaluations, prompts, prompt flows, knowledge bases, batch inference jobs, custom model jobs, and model duplication jobs—there was previously no capability for tagging on-demand foundation models.

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CIO

MAY 2, 2023

Generative artificial intelligence (GenAI) tools such as Azure OpenAI have been drawing attention in recent months, and there is widespread consensus that these technologies can significantly transform the retail industry. He provides advisory to customers on next generation architectures and business solutions.

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AWS Machine Learning - AI

APRIL 18, 2024

Generative artificial intelligence (AI) with Amazon Bedrock directly addresses these challenges. With Amazon Bedrock, teams can input high-level architectural descriptions and use generative AI to generate a baseline configuration of Terraform scripts. Amazon Bedrock generates Terraform code from architectural descriptions.

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AWS Machine Learning - AI

JUNE 26, 2024

Artificial intelligence (AI)-powered assistants can boost the productivity of a financial analysts, research analysts, and quantitative trading in capital markets by automating many of the tasks, freeing them to focus on high-value creative work.

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CIO

SEPTEMBER 19, 2024

The challenge is that these architectures are convoluted, requiring multiple models, advanced RAG [retrieval augmented generation] stacks, advanced data architectures, and specialized expertise.” Reinventing the wheel is indeed a bad idea when it comes to complex systems like agentic AI architectures,” he says.

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AWS Machine Learning - AI

OCTOBER 11, 2024

The assistant can filter out irrelevant events (based on your organization’s policies), recommend actions, create and manage issue tickets in integrated IT service management (ITSM) tools to track actions, and query knowledge bases for insights related to operational events. It has several key components.

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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. You can also bring your own customized models and deploy them to Amazon Bedrock for supported architectures.

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CIO

MARCH 27, 2023

The bot can send links to knowledge-based articles, embed “how-to” videos directly into text messages, help the customer navigate the company’s mobile app, and answer any questions in a natural, human-like, back-and-forth conversation. Artificial Intelligence

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AWS Machine Learning - AI

MAY 9, 2024

Verisk is using generative artificial intelligence (AI) to enhance operational efficiencies and profitability for insurance clients while adhering to its ethical AI principles. Verisk’s FAST platform is a leader in the life insurance and retirement sector, providing enhanced efficiency and flexible, easily upgradable architecture.

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TechCrunch

SEPTEMBER 6, 2022

Although companies continue to invest in their security architecture, security teams are also feeling the market squeeze, which is impacting IT budgets, and sometimes headcount in an industry that was already facing a shortage of expertise. .” The resulting platform has found particular traction in the current market climate.

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AWS Machine Learning - AI

AUGUST 2, 2024

Generative artificial intelligence (AI) is rapidly emerging as a transformative force, poised to disrupt and reshape businesses of all sizes and across industries. However, their knowledge is static and tied to the data used during the pre-training phase. The following diagram illustrates this architecture.

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AWS Machine Learning - AI

MARCH 19, 2024

With Knowledge Bases for Amazon Bedrock , you can simplify the RAG development process to provide more accurate anomaly root cause analysis for plant workers. Solution overview The following diagram illustrates the solution architecture. Answers are generated through the Amazon Bedrock knowledge base with a RAG approach.

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CIO

MARCH 6, 2024

The firm is exploring Salesforce’s ServiceGPT and Einstein technologies, and they’re building a knowledge base on the provider’s Sales Cloud platform as well. From our intelligence, we want to be able to suggest alternative network infrastructure and architectures.

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Capgemini

OCTOBER 8, 2024

Navigating knowledge bases efficiently: The power of Gen AI and Snowflake Cortex AI Dawid Benski 7th October 2024 Facebook Twitter Linkedin Most companies that rely heavily on document stores for knowledge sharing and team collaboration often end up with many pages created by users. Slide to submit Thank you for reaching out.

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Knowledge Base Artificial Inteligence Technical Review Development Team Review 52

AWS Machine Learning - AI

DECEMBER 18, 2024

Enterprises that have adopted ServiceNow can improve their operations and boost user productivity by using Amazon Q Business for various use cases, including incident and knowledge management. ServiceNow Obtain a ServiceNow Personal Developer Instance or use a clean ServiceNow developer environment.

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AWS Machine Learning - AI

AUGUST 15, 2024

QnABot on AWS (an AWS Solution) now provides access to Amazon Bedrock foundational models (FMs) and Knowledge Bases for Amazon Bedrock , a fully managed end-to-end Retrieval Augmented Generation (RAG) workflow. If a knowledge base ID is configured , the Bot Fulfillment Lambda function forwards the request to the knowledge base.

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AWS Machine Learning - AI

MARCH 18, 2025

If a user has a role configured with a specific guardrail requirement (using the bedrock:GuardrailIdentifier condition), they shouldnt use that same role to access services like Amazon Bedrock Knowledge Bases RetrieveAndGenerate or Amazon Bedrock Agents InvokeAgent. Satveer Khurpa is a Sr.

Policies 104

Policies Generative AI Resources AWS 104

TechCrunch

MAY 5, 2021

” The company’s tools are based in part on the MITRE ATT&CK framework , a knowledge base of threats, tactics and techniques used by a number of other cybersecurity services, including a number of others building continuous validation services that compete with Cymulate.

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