Xebia

OCTOBER 23, 2024

Region Evacuation with DNS Approach: Our third post discussed deploying web server infrastructure across multiple regions and reviewed the DNS regional evacuation approach using AWS Route 53. In the following sections we will review this step-by-step region evacuation example. Find the detailed guide here. Explore the details here.

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AWS Machine Learning - AI

MARCH 18, 2025

This is where the integration of cutting-edge technologies, such as audio-to-text translation and large language models (LLMs), holds the potential to revolutionize the way patients receive, process, and act on vital medical information. These audio recordings are then converted into text using ASR and audio-to-text translation technologies.

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Artificial Inteligence Technical Review Healthcare Systems Review 113

AWS Machine Learning - AI

DECEMBER 4, 2024

They have structured data such as sales transactions and revenue metrics stored in databases, alongside unstructured data such as customer reviews and marketing reports collected from various channels. The following diagram illustrates the conceptual architecture of an AI assistant with Amazon Bedrock IDE.

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Generative AI Applications Technical Review Software Review 106

Xebia

OCTOBER 25, 2024

I like to combine technology with something more practical. This helps me understand the technology much better. Due to this requirement, I used the API Gateway service from AWS. This allows you to use a Lambda function to use business logic to decide whether the call can be performed. But some steps can be automated!

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Serverless Technical Review Lambda AWS 130

AWS Machine Learning - AI

MARCH 20, 2025

Generative AI-powered agents for automated workflows Amazon Bedrock in SageMaker Unified Studio allows you to create and deploy generative AI agents that integrate with organizational applications, databases, and third-party systems, enabling natural language interactions across the entire technology stack. List recent customer interactions.

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AWS Machine Learning - AI

AUGUST 21, 2024

Customer reviews can reveal customer experiences with a product and serve as an invaluable source of information to the product teams. By continually monitoring these reviews over time, businesses can recognize changes in customer perceptions and uncover areas of improvement.

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AWS Machine Learning - AI

APRIL 1, 2025

Todays AI assistants can understand complex requirements, generate production-ready code, and help developers navigate technical challenges in real time. Accelerate building on AWS What if your AI assistant could instantly access deep AWS knowledge, understanding every AWS service, best practice, and architectural pattern?

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AWS Machine Learning - AI

APRIL 30, 2025

With advancement in AI technology, the time is right to address such complexities with large language models (LLMs). FloQasts AI-powered solution uses advanced machine learning (ML) and natural language commands, enabling accounting teams to automate reconciliation with high accuracy and minimal technical setup.

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AWS Machine Learning - AI

NOVEMBER 21, 2024

The following diagram illustrates the solution architecture. Pre-annotation and post-annotation AWS Lambda functions are optional components that can enhance the workflow. The pre-annotation Lambda function can process the input manifest file before data is presented to annotators, enabling any necessary formatting or modifications.

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Video Lambda AWS Generative AI 102

AWS Machine Learning - AI

NOVEMBER 7, 2024

It also uses a number of other AWS services such as Amazon API Gateway , AWS Lambda , and Amazon SageMaker. You can also bring your own customized models and deploy them to Amazon Bedrock for supported architectures. Alternatively, you can use AWS Lambda and implement your own logic, or use open source tools such as fmeval.

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AWS Machine Learning - AI

APRIL 23, 2025

Archival data in research institutions and national laboratories represents a vast repository of historical knowledge, yet much of it remains inaccessible due to factors like limited metadata and inconsistent labeling. The following diagram illustrates the solution architecture. To address these challenges, a U.S.

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Artificial Inteligence Open Source AWS Serverless 67

AWS Machine Learning - AI

APRIL 1, 2025

Using a client-server architecture, MCP enables developers to expose their data through lightweight MCP servers while building AI applications as MCP clients that connect to these servers. In the first flow, a Lambda-based action is taken, and in the second, the agent uses an MCP server. Amazon OpenSearch Service: $34 5.

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Generative AI AWS Artificial Inteligence Software Review 134

AWS Machine Learning - AI

MAY 2, 2025

This architecture demonstrates the significant advantages of deploying multiple specialized agents, each designed to handle distinct aspects of complex tasks such as financial analysis. Furthermore, the systems modular architecture facilitates seamless maintenance, updates, and scalability.

Real Estate 91

Real Estate Artificial Inteligence Knowledge Base Lambda 91

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

FEBRUARY 25, 2025

Solution overview Before we dive into the deployment process, lets walk through the key steps of the architecture as illustrated in the following figure. This function invokes another Lambda function (see the following Lambda function code ) which retrieves the latest error message from the specified Terraform Cloud workspace.

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Lambda Generative AI AWS Software Review 65

AWS Machine Learning - AI

APRIL 22, 2025

Some of the challenges in capturing and accessing event knowledge include: Knowledge from events and workshops is often lost due to inadequate capture methods, with traditional note-taking being incomplete and subjective. A serverless, event-driven workflow using Amazon EventBridge and AWS Lambda automates the post-event processing.

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Media Knowledge Base AWS Systems Review 82

AWS Machine Learning - AI

FEBRUARY 6, 2024

A key part of the submission process is authoring regulatory documents like the Common Technical Document (CTD), a comprehensive standard formatted document for submitting applications, amendments, supplements, and reports to the FDA. Users can quickly review and adjust the computer-generated reports before submission.

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Generative AI AWS Lambda Technical Review 130

Strategic Tech

JULY 21, 2020

Most organisations go through an architecture modernisation effort at some point as their systems drift into a state of intolerable maintenance costs and they diverge too far from modern technological advances. What architecture will be optimal for enabling that business vision? How are we going to deliver the new architecture?

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Architecture Technical Review Software Review Microservices 98

AWS Machine Learning - AI

MARCH 20, 2025

Our partnership with AWS and our commitment to be early adopters of innovative technologies like Amazon Bedrock underscore our dedication to making advanced HCM technology accessible for businesses of any size. Together, we are poised to transform the landscape of AI-driven technology and create unprecedented value for our clients.

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AWS Machine Learning - AI

MAY 17, 2024

In this blog post, you will learn about prompt chaining, how to break a complex task into multiple tasks to use prompt chaining with an LLM in a specific order, and how to involve a human to review the response generated by the LLM. For most reviews, the system auto-generates a reply using an LLM.

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AWS Machine Learning - AI

APRIL 18, 2024

With Amazon Bedrock, teams can input high-level architectural descriptions and use generative AI to generate a baseline configuration of Terraform scripts. AWS Landing Zone architecture in the context of cloud migration AWS Landing Zone can help you set up a secure, multi-account AWS environment based on AWS best practices.

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AWS Applications Lambda Knowledge Base 129

Xebia

JANUARY 19, 2023

The following is a review of the book Fundamentals of Data Engineering by Joe Reis and Matt Housley, published by O’Reilly in June of 2022, and some takeaway lessons. The authors state that the target audience is technical people and, second, business people who work with technical people. Nevertheless, I strongly agree.

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Data Engineering Engineering Data Technical Review 130

AWS Machine Learning - AI

MAY 30, 2024

CBRE’s data environment, with 39 billion data points from over 300 sources, combined with a suite of enterprise-grade technology can deploy a range of AI solutions to enable individual productivity all the way to broadscale transformation. The following figure illustrates the core architecture for the NLQ capability.

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CIO

OCTOBER 18, 2023

Putting data to work to improve health outcomes “Predicting IDH in hemodialysis patients is challenging due to the numerous patient- and treatment-related factors that affect IDH risk,” says Pete Waguespack, director of data and analytics architecture and engineering for Fresenius Medical Care North America.

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AWS Machine Learning - AI

MAY 15, 2024

In this blog post, we describe the architectural and operational details of how Amazon Ads implemented its generative AI-powered image creation solution on AWS. Next, we present the solution architecture and process flows for machine learning (ML) model building, deployment, and inferencing.

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Generative AI Artificial Inteligence Advertising Technical Review 132

AWS Machine Learning - AI

APRIL 24, 2024

This post assesses two primary approaches for developing AI assistants: using managed services such as Agents for Amazon Bedrock , and employing open source technologies like LangChain. For direct device actions like start, stop, or reboot, we use the action-on-device action group, which invokes a Lambda function.

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AWS Machine Learning - AI

JULY 3, 2024

The use cases can range from medical information extraction and clinical notes summarization to marketing content generation and medical-legal review automation (MLR process). Amazon Lambda : to run the backend code, which encompasses the generative logic. It sends it back to the WebSocket via the Lambda function.

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CIO

MAY 8, 2024

Of late, innovative data integration tools are revolutionising how organisations approach data management, unlocking new opportunities for growth, efficiency, and strategic decision-making by leveraging technical advancements in Artificial Intelligence, Machine Learning, and Natural Language Processing. billion by 2025.

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Xebia

MAY 21, 2024

For customers to take advantage of this, meet the demands of modern technology, and maintain a competitive edge in the market, the need to modernize IT infrastructure and applications is paramount. This, of course, takes into consideration the organization’s strategy, business and technical goals, security, and compliance requirements.

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AWS Strategy Serverless Microservices 130

AWS Machine Learning - AI

FEBRUARY 19, 2024

The popular architecture pattern of Retrieval Augmented Generation (RAG) is often used to augment user query context and responses. Internally, Amazon Bedrock uses embeddings stored in a vector database to augment user query context at runtime and enable a managed RAG architecture solution. Navigate to the lambdalayer folder.

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Knowledge Base Artificial Inteligence Applications Lambda 133

AWS Machine Learning - AI

MAY 14, 2024

We provide LangChain and AWS SDK code-snippets, architecture and discussions to guide you on this important topic. You can complete a variety of human-in-the-loop tasks with SageMaker Ground Truth, from data generation and annotation to model review, customization, and evaluation, through either a self-service or an AWS-managed offering.

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Generative AI Artificial Inteligence AWS Applications 121

AWS Machine Learning - AI

SEPTEMBER 13, 2024

This could be Amazon Elastic Compute Cloud (Amazon EC2), AWS Lambda , AWS SDK , Amazon SageMaker notebooks, or your workstation if you are doing a quick proof of concept. The following diagram illustrates the solution architecture. We aim to target and simplify them using generative AI with Amazon Bedrock.

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Generative AI AWS Technical Review Artificial Inteligence 101

AWS Machine Learning - AI

JUNE 26, 2024

AI-powered assistants are advanced AI systems, powered by generative AI and large language models (LLMs), which use AI technologies to understand goals from natural language prompts, create plans and tasks, complete these tasks, and orchestrate the results from the tasks to reach the goal. The following diagram illustrates this workflow.

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Artificial Inteligence Research Knowledge Base Applications 135

AWS Machine Learning - AI

FEBRUARY 8, 2024

As AI technology continues to evolve, the capabilities of generative AI agents are expected to expand, offering even more opportunities for customers to gain a competitive edge. The following demo recording highlights Agents and Knowledge Bases for Amazon Bedrock functionality and technical implementation details.

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Knowledge Base Insurance Lambda AWS 140

AWS Machine Learning - AI

DECEMBER 22, 2023

Solution architecture The following diagram illustrates the solution architecture. Diagram 1: Solution Architecture Overview The agent’s response workflow includes the following steps: Users perform natural language dialog with the agent through their choice of web, SMS, or voice channels.

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Generative AI Lambda AWS Technical Review 126

Mike Roberts

NOVEMBER 16, 2017

Scaling and State This is Part 9 of Learning Lambda, a tutorial series about engineering using AWS Lambda. So far in this series we’ve only been talking about processing a small number of events with Lambda, one after the other. Finally I mention Lambda’s limited, but not trivial, vertical scaling capability.

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Lambda Software Review AWS Serverless 52

AWS Machine Learning - AI

NOVEMBER 24, 2023

However, Amazon Bedrock’s flexibility allows these descriptions to be fine-tuned to incorporate customer reviews, integrate brand-specific language, and highlight specific product features, resulting in tailored descriptions that resonate with the target audience. AWS Lambda – AWS Lambda provides serverless compute for processing.

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