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).

AWS 72

AWS Artificial Inteligence Technical Review Systems Review 72

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.

Applications 98

Applications Generative AI AWS Artificial Inteligence 98

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.

Generative AI 94

Generative AI Applications Technical Review Software Review 94

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. All of this data is centralized and can be used to improve metrics in scenarios such as sales or call centers.

Generative AI 98

Generative AI Video Engineering Artificial Inteligence 98

AWS Machine Learning - AI

DECEMBER 3, 2024

It examines service performance metrics, forecasts of key indicators like error rates, error patterns and anomalies, security alerts, and overall system status and health. To get started on training, enroll for free Amazon Q training from AWS Training and Certification. Customer Solutions Manager at AWS. Sean Falconer is a Sr.

Technical Review 93

Technical Review AWS eCommerce Systems Review 93

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. Our study used Amazon Nova Micro and Amazon Nova Lite as baseline FMs and tested their performance across different configurations. To do so, we create a knowledge base.

Case Study 93

Case Study Artificial Inteligence Study Generative AI 93

AWS Machine Learning - AI

MARCH 14, 2025

Although automated metrics are fast and cost-effective, they can only evaluate the correctness of an AI response, without capturing other evaluation dimensions or providing explanations of why an answer is problematic. Human evaluation, although thorough, is time-consuming and expensive at scale.

Knowledge Base 84

Knowledge Base Applications Artificial Inteligence Generative AI 84

AWS Machine Learning - AI

APRIL 9, 2025

By monitoring utilization metrics, organizations can quantify the actual productivity gains achieved with Amazon Q Business. Tracking metrics such as time saved and number of queries resolved can provide tangible evidence of the services impact on overall workplace productivity.

Weak Development Team 67

Weak Development Team Metrics AWS Systems Review 67

CIO

JANUARY 7, 2025

All the major cloud providers from North America AWS, Google, Microsoft Azure, Oracle Cloud are on par with each other, with most of their services and capabilities are primed to address the needs of any enterprise. The AWS Cloud Adoption Framework (CAF) is an effective tool that helps to evaluate cloud readiness.

Cloud 147

Cloud Strategy Architecture Policies 147

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. We are thrilled to partner with AWS on this groundbreaking generative AI project. John Canada, VP of Engineering at Asure.

Generative AI 69

Generative AI Artificial Inteligence Metrics AWS 69

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?

AWS 52

AWS Cloud Weak Development Team DevOps 52

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.

Education 88

Education Report Technical Review Generative AI 88

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. The customer interaction transcripts are stored in an Amazon Simple Storage Service (Amazon S3) bucket.

Generative AI 97

Generative AI CTO Coach AWS Artificial Inteligence 97

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.

Data 98

Data Generative AI Artificial Inteligence Compliance 98

AWS Machine Learning - AI

FEBRUARY 26, 2024

By using AWS services, our architecture provides real-time visibility into LLM behavior and enables teams to quickly identify and address any issues or anomalies. In this post, we demonstrate a few metrics for online LLM monitoring and their respective architecture for scale using AWS services such as Amazon CloudWatch and AWS Lambda.

Artificial Inteligence 123

Artificial Inteligence AWS Lambda Metrics 123

Netflix Tech

DECEMBER 17, 2024

DataJunction: Unifying Experimentation and Analytics Yian Shang , AnhLe At Netflix, like in many organizations, creating and using metrics is often more complex than it should be. DJ acts as a central store where metric definitions can live and evolve. As an example, imagine an analyst wanting to create a Total Streaming Hours metric.

Analytics 84

Analytics Engineering Survey Metrics 84

TechCrunch

FEBRUARY 24, 2021

Many companies spend a significant amount of money and resources processing data from logs, traces and metrics, forcing them to make trade-offs about how much to collect and store. “The classic problem with these cluster-based databases is that they’ve got locally attached storage.

Data 177

Data Storage Metrics Google Cloud 177

AWS Machine Learning - AI

AUGUST 26, 2024

At AWS, we are transforming our seller and customer journeys by using generative artificial intelligence (AI) across the sales lifecycle. It will be able to answer questions, generate content, and facilitate bidirectional interactions, all while continuously using internal AWS and external data to deliver timely, personalized insights.

Generative AI 111

Generative AI AWS Artificial Inteligence Technical Review 111

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.

Artificial Inteligence 97

Artificial Inteligence Generative AI Travel AWS 97

RapidValue

NOVEMBER 10, 2020

Cloud optimization helps: To maximize the efficiency of your servers, storage, and databases. Why AWS for Cost Optimization? Amazon Web Services (AWS) is probably the biggest IaaS provider and a formidable cloud computing resource. AWS has an amazing pricing policy that all the users find remarkable.

AWS 98

AWS Cloud How To Storage 98

AWS Machine Learning - AI

MARCH 13, 2025

11B-Vision-Instruct ) or Simple Storage Service (S3) URI containing the model files. Option 2: Deployment from a Private S3 Bucket To deploy models privately within your AWS account, upload the DeepSeek-R1 model weights to a S3 bucket and set HF_MODEL_ID to the corresponding S3 bucket prefix. xlarge across all metrics.

Artificial Inteligence 81

Artificial Inteligence AWS Machine Learning Load Balancer 81

Linux Academy

DECEMBER 5, 2019

The final day of AWS re:Invent, 2019. In our final day at AWS re:Invent, and last overview piece, we’re covering the final keynote in-depth. Overview of Werner Vogels Keynote: The Power of AWS Nitro. Under the hood, AWS continues to innovate and improve the performance of the latest generation of EC2 instances.

AWS 19

AWS Machine Learning Artificial Inteligence Linux 19

AWS Machine Learning - AI

MARCH 3, 2025

These recipes include a training stack validated by Amazon Web Services (AWS) , which removes the tedious work of experimenting with different model configurations, minimizing the time it takes for iterative evaluation and testing. Alternatively, you can also use AWS Systems Manager and run a command like the following to start the session.

Artificial Inteligence 77

Artificial Inteligence Generative AI AWS Training 77

AWS Machine Learning - AI

MARCH 5, 2025

With deterministic evaluation processes such as the Factual Knowledge and QA Accuracy metrics of FMEval , ground truth generation and evaluation metric implementation are tightly coupled. To learn more about FMEval, see Evaluate large language models for quality and responsibility of LLMs.

Generative AI 73

Generative AI Systems Review Artificial Inteligence Software Review 73

AWS Machine Learning - AI

FEBRUARY 12, 2025

Prerequisites To build the solution yourself, there are the following prerequisites: You need an AWS account with an AWS Identity and Access Management (IAM) role that has permissions to manage resources created as part of the solution (for example AmazonSageMakerFullAccess and AmazonS3FullAccess ).

Artificial Inteligence 73

Artificial Inteligence Training AWS Machine Learning 73

AWS Machine Learning - AI

MARCH 11, 2025

By integrating this model with Amazon SageMaker AI , you can benefit from the AWS scalable infrastructure while maintaining high-quality language model capabilities. Solution overview You can use DeepSeeks distilled models within the AWS managed machine learning (ML) infrastructure. For details, refer to Create an AWS account.

Artificial Inteligence 67

Artificial Inteligence AWS Generative AI Metrics 67

AWS Machine Learning - AI

NOVEMBER 22, 2023

Yes, the AWS re:Invent season is upon us and as always, the place to be is Las Vegas! are the sessions dedicated to AWS DeepRacer ! Generative AI is at the heart of the AWS Village this year. You marked your calendars, you booked your hotel, and you even purchased the airfare. And last but not least (and always fun!)

Generative AI 122

Generative AI Artificial Inteligence AWS Machine Learning 122

Linux Academy

MAY 2, 2019

In a typical application, either run in a traditional datacenter or colocation facility, you’re paying for the application itself, the underlying OS, hypervisor, storage, servers or VMs, SAN, networking, power, and so on. Moving databases to a managed service such as AWS RDS. This adds up to a lot of overhead. Improving elasticity.

AWS 84

AWS Linux Storage Lambda 84

AWS Machine Learning - AI

MARCH 7, 2025

Solution overview The policy documents reside in Amazon Simple Storage Service (Amazon S3) storage. This action invokes an AWS Lambda function to retrieve the document embeddings from the OpenSearch Service database and present them to Anthropics Claude 3 Sonnet FM, which is accessed through Amazon Bedrock.

Generative AI 77

Generative AI Technical Review Insurance Policies 77

Xebia

APRIL 14, 2023

AWS examples include emissions related to data center construction, and the manufacture and transportation of IT hardware deployed in data centers. Metric tons of carbon dioxide equivalents (MTCO2e): The unit of measurement for calculating impact. Last year AWS launched the AWS Customer Carbon Footprint Tool.

Sustainability 130

Sustainability Cloud AWS Energy 130

Honeycomb

NOVEMBER 30, 2021

When you send telemetry into Honeycomb, our infrastructure needs to buffer your data before processing it in our “retriever” columnar storage database. Using Apache Kafka to buffer the data between ingest and storage benefits both our customers by way of durability/reliability and our engineering teams in terms of operability.

Storage 145

Storage AWS Technical Review Hardware 145

Datavail

AUGUST 5, 2019

Costs can include licensing, hardware, storage, and personnel headcount (DBAs)—these costs are necessary to ensure databases are running optimally for higher productivity. AWS RDS Integration & Migration. Aurora supports up to 64TB of auto-scaling storage capacity. AWS RDS Console Access.

AWS 15

AWS Cloud Backup Storage 15

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. Additionally, you can access device historical data or device metrics. The device metrics are stored in an Athena DB named "iot_ops_glue_db" in a table named "iot_device_metrics".

Artificial Inteligence 120

Artificial Inteligence Lambda Knowledge Base IoT 120

CIO

MAY 24, 2023

As an IT leader, you know providing a sound foundation complemented by the right tools is necessary to achieve return-on-investment goals and other key metrics. You can bring order to the chaos and help simplify operations by running the block and file storage software your IT teams already run on-premises in public clouds.

Strategy 148

Strategy Cloud Storage AWS 148

TechCrunch

JUNE 25, 2021

The promise of Edge Delta is that it can offer all of the capabilities of this centralized model by allowing enterprises to start to analyze their logs, metrics, traces and other telemetry right at the source. But that’s not real-time and also involves moving a lot of data from where it’s generated to a centralized warehouse.

Machine Learning 210

Machine Learning Artificial Inteligence Big Data Business Intelligence 210

Cloudera

NOVEMBER 9, 2023

It’s also multi-cloud ready to meet your business where it is today, whether AWS, Microsoft Azure, or GCP. Support for cloud storage is an important capability of COD that, in addition to the pre-existing support for HDFS on local storage, offers a choice of price performance characteristics to the customers. runtime version.

Storage 74

Storage Performance Cloud Azure 74

O'Reilly Media - Data

JULY 17, 2018

In the current alpha release, MLflow offers three main components: MLflow Tracking : an API and UI for recording data about experiments, including parameters, code versions, evaluation metrics, and output files used. MLflow Projects : a code packaging format for reproducible runs. MLflow Tracking. MLflow Models.

Artificial Inteligence 272

Artificial Inteligence Machine Learning Software Review Open Source 272