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 screenshot shows an example of an interaction with Field Advisor.

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Xebia

OCTOBER 18, 2024

Jaffle Shop Demo To demonstrate our setup, we’ll use the jaffle_shop example. This dbt example transforms raw data into customer and order models. As expected, the example tables will be visible in the Unity Catalog UI. Moving to the Cloud (AWS) With the local setup complete, we’re ready to explore cloud deployment options.

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AWS Machine Learning - AI

NOVEMBER 22, 2024

This post discusses how to use AWS Step Functions to efficiently coordinate multi-step generative AI workflows, such as parallelizing API calls to Amazon Bedrock to quickly gather answers to lists of submitted questions. Our pricing model varies depending on the project, but we always aim to provide cost-effective solutions.

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CIO

JUNE 28, 2023

Amazon Web Services (AWS) on Tuesday unveiled a new no-code offering, dubbed AppFabric, designed to simplify SaaS integration for enterprises by increasing application observability and reducing operational costs associated with building point-to-point solutions. AppFabric, which is available across AWS’ US East (N.

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CIO

APRIL 15, 2025

One of the most striking examples is the Silk Road , a vast network of trade routes that connected the East and West for centuries. In addition to edge computing, businesses should implement data replication and federated cloud storage strategies.

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AWS Machine Learning - AI

OCTOBER 31, 2024

AWS offers powerful generative AI services , including Amazon Bedrock , which allows organizations to create tailored use cases such as AI chat-based assistants that give answers based on knowledge contained in the customers’ documents, and much more. The following figure illustrates the high-level design of the solution.

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AWS Machine Learning - AI

OCTOBER 29, 2024

This engine uses artificial intelligence (AI) and machine learning (ML) services and generative AI on AWS to extract transcripts, produce a summary, and provide a sentiment for the call. Organizations typically can’t predict their call patterns, so the solution relies on AWS serverless services to scale during busy times.

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AWS Machine Learning - AI

JANUARY 29, 2025

In this post, we explore how to deploy distilled versions of DeepSeek-R1 with Amazon Bedrock Custom Model Import, making them accessible to organizations looking to use state-of-the-art AI capabilities within the secure and scalable AWS infrastructure at an effective cost. The following diagram illustrates the end-to-end flow.

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Xebia

AUGUST 29, 2023

How does High-Performance Computing on AWS differ from regular computing? HPC services on AWS Compute Technically you could design and build your own HPC cluster on AWS, it will work but you will spend time on plumbing and undifferentiated heavy lifting. AWS has two services to support your HPC workload.

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AWS Machine Learning - AI

MARCH 3, 2025

Hybrid architecture with AWS Local Zones To minimize the impact of network latency on TTFT for users regardless of their locations, a hybrid architecture can be implemented by extending AWS services from commercial Regions to edge locations closer to end users. Next, create a subnet inside each Local Zone. Amazon Linux 2).

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AWS Machine Learning - AI

OCTOBER 29, 2024

This solution uses decorators in your application code to capture and log metadata such as input prompts, output results, run time, and custom metadata, offering enhanced security, ease of use, flexibility, and integration with native AWS services. Additionally, you can choose what gets logged.

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AWS Machine Learning - AI

NOVEMBER 7, 2024

Although the principles discussed are applicable across various industries, we use an automotive parts retailer as our primary example throughout this post. The workflow includes the following steps: Documents (owner manuals) are uploaded to an Amazon Simple Storage Service (Amazon S3) bucket. Python 3.9 or later Node.js

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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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AWS Machine Learning - AI

NOVEMBER 14, 2024

The storage layer uses Amazon Simple Storage Service (Amazon S3) to hold the invoices that business users upload. Prerequisites To perform this solution, complete the following: Create and activate an AWS account. Make sure your AWS credentials are configured correctly. Install Python 3.7 or later on your local machine.

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AWS Machine Learning - AI

APRIL 16, 2025

Why LoRAX for LoRA deployment on AWS? The surge in popularity of fine-tuning LLMs has given rise to multiple inference container methods for deploying LoRA adapters on AWS. Prerequisites For this guide, you need access to the following prerequisites: An AWS account Proper permissions to deploy EC2 G6 instances.

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AWS Machine Learning - AI

DECEMBER 4, 2024

SageMaker Unified Studio combines various AWS services, including Amazon Bedrock , Amazon SageMaker , Amazon Redshift , Amazon Glue , Amazon Athena , and Amazon Managed Workflows for Apache Airflow (MWAA) , into a comprehensive data and AI development platform. Navigate to the AWS Secrets Manager console and find the secret -api-keys.

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Perficient

MARCH 27, 2025

What Youll Learn How Pulumi works with AWS Setting up Pulumi with Python Deploying various AWS services with real-world examples Best practices and advanced tips Why Pulumi for AWS? Multi-Cloud and Multi-Language Support Deploy across AWS, Azure, and Google Cloud with Python, TypeScript, Go, or.NET.

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AWS Machine Learning - AI

NOVEMBER 15, 2024

At AWS, we are committed to developing AI responsibly , taking a people-centric approach that prioritizes education, science, and our customers, integrating responsible AI across the end-to-end AI lifecycle. For human-in-the-loop evaluation, which can be done by either AWS managed or customer managed teams, you must bring your own dataset.

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AWS Machine Learning - AI

DECEMBER 3, 2024

For example, when a customer service specialist receives user complaints, they can quickly investigate application performance issues without navigating complex monitoring tools or interpreting alert conditions. To get started on training, enroll for free Amazon Q training from AWS Training and Certification. Sean Falconer is a Sr.

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Mobilunity

DECEMBER 26, 2024

For medium to large businesses with outdated systems or on-premises infrastructure, transitioning to AWS can revolutionize their IT operations and enhance their capacity to respond to evolving market needs. AWS migration isnt just about moving data; it requires careful planning and execution. Need to hire skilled engineers?

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AWS Machine Learning - AI

JANUARY 13, 2025

Amazon Q Business as a web experience makes AWS best practices readily accessible, providing cloud-centered recommendations quickly and making it straightforward to access AWS service functions, limits, and implementations. The following demos are examples of what the Amazon Q Business web experience looks like.

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TechCrunch

NOVEMBER 8, 2022

Back in 2014, to pick one example, Amazon’s AWS cut its prices in response to Google’s recently launched competing service. Sure, AWS is still top dog, with Microsoft and Google working to both snag share from the leader (and one another). Both BuildyBuddy (GCP) and Monte Carlo (AWS) are single-cloud companies.

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AWS Machine Learning - AI

NOVEMBER 14, 2024

This is where AWS and generative AI can revolutionize the way we plan and prepare for our next adventure. This innovative service goes beyond traditional trip planning methods, offering real-time interaction through a chat-based interface and maintaining scalability, reliability, and data security through AWS native services.

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AWS Machine Learning - AI

APRIL 10, 2025

Solution overview To evaluate the effectiveness of RAG compared to model customization, we designed a comprehensive testing framework using a set of AWS-specific questions. Refer to Guidelines for preparing your data for Amazon Nova on best practices and example formats when preparing datasets for fine-tuning Amazon Nova models.

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AWS Machine Learning - AI

MARCH 13, 2025

We discuss the unique challenges MaestroQA overcame and how they use AWS to build new features, drive customer insights, and improve operational inefficiencies. For example, Can I speak to your manager? The customer interaction transcripts are stored in an Amazon Simple Storage Service (Amazon S3) bucket.

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Xebia

DECEMBER 21, 2022

A regional failure is an uncommon event in AWS (and other Public Cloud providers), where all Availability Zones (AZs) within a region are affected by any condition that impedes the correct functioning of the provisioned Cloud infrastructure. For demonstration purposes, we are using HTTP instead of HTTPS. Pilot Light strategy diagram.

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AWS Machine Learning - AI

MARCH 20, 2025

Cross-Region inference enables seamless management of unplanned traffic bursts by using compute across different AWS Regions. Amazon Bedrock Data Automation optimizes for available AWS Regional capacity by automatically routing across regions within the same geographic area to maximize throughput at no additional cost.

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Xebia

FEBRUARY 28, 2023

Cloud Financial Management shows that with a disciplined and structured approach, you can become very successful at managing AWS cost optimization by controlling your expenses. To put this statement into numbers we explain our actions based on actual AWS services and their prices. Imagine you’re an AWS customer and you employ a m5.xlarge

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AWS Machine Learning - AI

FEBRUARY 11, 2025

Enhancing AWS Support Engineering efficiency The AWS Support Engineering team faced the daunting task of manually sifting through numerous tools, internal sources, and AWS public documentation to find solutions for customer inquiries. Then we introduce the solution deployment using three AWS CloudFormation templates.

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Xebia

JANUARY 23, 2025

Take for example the ability to interact with various cloud services such as Cloud Storage, BigQuery, Cloud SQL, etc. This is often the case for organizations that store data in Cloud Storage or analyse this using BigQuery, while there is still the legal requirement of protecting this data.

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AWS Machine Learning - AI

JANUARY 13, 2025

The collaboration between BQA and AWS was facilitated through the Cloud Innovation Center (CIC) program, a joint initiative by AWS, Tamkeen , and leading universities in Bahrain, including Bahrain Polytechnic and University of Bahrain. The following diagram illustrates the solution architecture.

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CIO

APRIL 25, 2024

This strategy alone — achieved with the DIY approach — was responsible for saving $300,000 when his team dug into expenses surrounding Google Cloud Platform log storage, resulting in his team moving the logs to a lower tier of cloud storage and rightsizing the data they retain to adhere to retention requirements.

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AWS Machine Learning - AI

NOVEMBER 21, 2024

We guide you through deploying the necessary infrastructure using AWS CloudFormation , creating an internal labeling workforce, and setting up your first labeling job. For example, in speech generation, an unnatural pause might last only a fraction of a second, but its impact on perceived quality is significant.

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Xebia

MAY 31, 2023

Infrastructure Provisioning Tools: Infrastructure provisioning tools like Terraform or AWS CloudFormation and the Cloud Development Kit (CDK) enable you to define and provision infrastructure resources programmatically. Version Control Systems: Version control systems, such as Git, play a crucial role in managing Infrastructure as Code.

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CIO

APRIL 1, 2025

AI services require high resources like CPU/GPU and memory and hence cloud providers like Amazon AWS, Microsoft Azure and Google Cloud provide many AI services including features for genAI. Data processing costs: Track storage, retrieval and preprocessing costs.

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AWS Machine Learning - AI

APRIL 18, 2024

Tools like Terraform and AWS CloudFormation are pivotal for such transitions, offering infrastructure as code (IaC) capabilities that define and manage complex cloud environments with precision. AWS Landing Zone addresses this need by offering a standardized approach to deploying AWS resources.

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AWS Machine Learning - AI

NOVEMBER 19, 2024

Amazon Bedrock offers a serverless experience so you can get started quickly, privately customize FMs with your own data, and integrate and deploy them into your applications using AWS tools without having to manage infrastructure. Deploy the AWS CDK project to provision the required resources in your AWS account.

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