AWS Machine Learning - AI

MARCH 5, 2025

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. Generative AI question-answering applications are pushing the boundaries of enterprise productivity.

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Generative AI Systems Review Software Review Artificial Inteligence 73

AWS Machine Learning - AI

OCTOBER 29, 2024

Use case overview The organization in this scenario has noticed that during customer calls, some actions often get skipped due to the complexity of the discussions, and that there might be potential to centralize customer data to better understand how to improve customer interactions in the long run.

Generative AI 96

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AWS Machine Learning - AI

NOVEMBER 19, 2024

Organizations possess extensive repositories of digital documents and data that may remain underutilized due to their unstructured and dispersed nature. Solution overview This section outlines the architecture designed for an email support system using generative AI.

Knowledge Base 83

Knowledge Base Generative AI Technical Review Lambda 83

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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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. Verisk also has a legal review for IP protection and compliance within their contracts.

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Generative AI Technical Review Insurance Policies 76

AWS Machine Learning - AI

FEBRUARY 11, 2025

Amazon Q Business , a new generative AI-powered assistant, can answer questions, provide summaries, generate content, and securely complete tasks based on data and information in an enterprises systems. The following diagram illustrates an example architecture for ingesting data through an endpoint interfacing with a large corpus.

Knowledge Base 79

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AWS Machine Learning - AI

APRIL 1, 2025

Accelerate building on AWS What if your AI assistant could instantly access deep AWS knowledge, understanding every AWS service, best practice, and architectural pattern? Lets create an architecture that uses Amazon Bedrock Agents with a custom action group to call your internal API.

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AWS Software Review Knowledge Base Artificial Inteligence 109

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.

Technical Review 114

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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

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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AWS Machine Learning - AI

MAY 17, 2024

This involves building a human-in-the-loop process where humans play an active role in decision making alongside the AI system. Example overview To illustrate this example, consider a retail company that allows purchasers to post product reviews on their website. For most reviews, the system auto-generates a reply using an LLM.

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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.

Video 78

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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 Machine Learning - AI

FEBRUARY 6, 2024

By extracting key data from testing reports, the system uses Amazon SageMaker JumpStart and other AWS AI services to generate CTDs in the proper format. Users can quickly review and adjust the computer-generated reports before submission. The user-friendly system also employs encryption for security.

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Generative AI AWS Lambda Technical Review 112

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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CIO

MAY 8, 2024

This helps reduce the points of failure due to human intervention. This is crucial for extracting insights from text-based data sources like social media feeds, customer reviews, and emails. However, it’s important to consider some potential drawbacks of serverless architecture. billion by 2025.

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Xebia

MAY 21, 2024

This involves updating existing systems to take advantage of modern cloud-native architectures, technologies, and best practices, which always follow the six Pillars of AWS Well Architecture Framework: Operational Excellence, Security, Reliability, Performance Efficiency, Cost Optimization, and Sustainability.

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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.

Artificial Inteligence 118

Artificial Inteligence Lambda Knowledge Base IoT 118

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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AWS Machine Learning - AI

MAY 30, 2024

In this post, we describe how CBRE partnered with AWS Prototyping to develop a custom query environment allowing natural language query (NLQ) prompts by using Amazon Bedrock, AWS Lambda , Amazon Relational Database Service (Amazon RDS), and Amazon OpenSearch Service. A Lambda function with business logic invokes the primary Lambda function.

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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 data engineer is also expected to create agile data architectures that evolve as new trends emerge. The audience is very broad when described that way.

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Data Engineering Engineering Data Technical Review 130

Perficient

FEBRUARY 17, 2025

React : A JavaScript library developed by Facebook for building fast and scalable user interfaces using a component-based architecture. Technologies : Node.js : A JavaScript runtime that allows developers to build fast, scalable server-side applications using a non-blocking, event-driven architecture.

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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). The system is built upon Amazon Bedrock and leverages LLM capabilities to generate curated medical content for disease awareness.

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Artificial Inteligence Generative AI Lambda Healthcare 112

Altexsoft

DECEMBER 28, 2018

According to the RightScale 2018 State of the Cloud report, serverless architecture penetration rate increased to 75 percent. Aware of what serverless means, you probably know that the market of cloudless architecture providers is no longer limited to major vendors such as AWS Lambda or Azure Functions. But that wasn’t enough.

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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. The popular architecture pattern of Retrieval Augmented Generation (RAG) is often used to augment user query context and responses. The following diagram illustrates the high-level RAG architecture.

Knowledge Base 106

Knowledge Base Artificial Inteligence Applications Lambda 106

Mike Roberts

NOVEMBER 14, 2017

Cold Starts This is Part 8 of Learning Lambda, a tutorial series about engineering using AWS Lambda. In this installment of Learning Lambda I discuss Cold Starts. In this installment of Learning Lambda I discuss Cold Starts. Way back in Part 3 I talked about the lifecycle of a Lambda function.

Lambda 52

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Perficient

MAY 30, 2023

In this technical blog post, we will explore the limitations of Databricks regarding synchronous updates, introduce the pattern of “Simulating Synchronous Operations with Asynchronous Code,” and compare it with the widely adopted event-driven architecture. The events are then published to a message broker or event bus.

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AWS Machine Learning - AI

FEBRUARY 8, 2024

System integration – Agents make API calls to integrated company systems to run specific actions. The following diagram illustrates the solution architecture. Each action group can specify one or more API paths, whose business logic is run through the AWS Lambda function associated with the action group.

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AWS Machine Learning - AI

MAY 14, 2024

In this post, we introduce a solution for integrating a “near-real-time human workflow” where humans are prompted by the generative AI system to take action when a situation or issue arises. We provide LangChain and AWS SDK code-snippets, architecture and discussions to guide you on this important topic.

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Confluent

FEBRUARY 27, 2019

Given that it is at a relatively early stage, developers are still trying to grok the best approach for each cloud vendor and often face the following question: Should I go cloud native with AWS Lambda, GCP functions, etc., What is more, as the world adopts the event-driven streaming architecture, how does it fit with serverless?

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AWS Machine Learning - AI

MARCH 20, 2025

Moreover, Amazon Bedrock offers integration with other AWS services like Amazon SageMaker , which streamlines the deployment process, and its scalable architecture makes sure the solution can adapt to increasing call volumes effortlessly. This is powered by the web app portion of the architecture diagram (provided in the next section).

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AWS Machine Learning - AI

DECEMBER 22, 2023

This solution is intended to act as a launchpad for developers to create their own personalized conversational agents for various applications, such as virtual workers and customer support systems. Solution architecture The following diagram illustrates the solution architecture. ConversationTable – Stores conversation history.

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Generative AI Lambda AWS Technical Review 108

Blue Sentry

OCTOBER 4, 2023

AWS Event-Driven Architecture Overview Hi, I’m Todd Bernson – CTO at Blue Sentry Cloud and an AWS Ambassador with 12 AWS certifications. In this installment, I’ll be breaking down another common Cloud-native application architecture. AWS provides serverless compute in the form of AWS Lambda.

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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 113

O'Reilly Media - Ideas

FEBRUARY 6, 2019

Beginner’s Guide to Writing AWS Lambda Functions in Python , March 1. Programming with Java Lambdas and Streams , March 5. Advanced TDD (Test-Driven Development) , March 15. Systems engineering and operations. Software Architecture by Example , February 21. Software Architecture by Example , March 18.

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CircleCI

JULY 22, 2022

Compute consistency: It is a best practice to keep the underlying compute for self-hosted runners consistent within resource classes — each machine should be identically configured with the same architecture and environment. The Lambda function created in a subsequent step will update these values to match your scaling requirements.

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AWS Machine Learning - AI

OCTOBER 15, 2024

Overview of solution Before we dive deep into the deployment, let’s walk through the key steps of the architecture that will be established, as shown in Figure 1. An AWS account with the appropriate IAM permissions to create Amazon Bedrock agents and knowledge bases, Lambda functions, and IAM roles. Review and create the agent.

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