AWS Machine Learning - AI

MARCH 20, 2025

The Asure team was manually analyzing thousands of call transcripts to uncover themes and trends, a process that lacked scalability. Staying ahead in this competitive landscape demands agile, scalable, and intelligent solutions that can adapt to changing demands.

Generative AI 68

Generative AI Artificial Inteligence Metrics AWS 68

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. Review the model response and metrics provided. for the month.

Generative AI 115

Generative AI Artificial Inteligence AWS Serverless 115

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

OCTOBER 29, 2024

All of this data is centralized and can be used to improve metrics in scenarios such as sales or call centers. Amazon DynamoDB is a fully managed NoSQL database service that provides fast and predictable performance with seamless scalability. You can use Amazon S3 to securely store objects and also serve static websites.

Generative AI 98

Generative AI Video Engineering Artificial Inteligence 98

AWS Machine Learning - AI

OCTOBER 29, 2024

Observability refers to the ability to understand the internal state and behavior of a system by analyzing its outputs, logs, and metrics. Although the implementation is straightforward, following best practices is crucial for the scalability, security, and maintainability of your observability infrastructure.

Generative AI 95

Generative AI Applications AWS Knowledge Base 95

AWS Machine Learning - AI

NOVEMBER 15, 2024

Model monitoring of key NLP metrics was incorporated and controls were implemented to prevent unsafe, unethical, or off-topic responses. The flexible, scalable nature of AWS services makes it straightforward to continually refine the platform through improvements to the machine learning models and addition of new features.

Generative AI 111

Generative AI AWS Groups Artificial Inteligence 111

CIO

SEPTEMBER 13, 2024

Among LCS’ major innovations is its Goods to Person (GTP) capability, also known as the Automated Storage and Retrieval System (AS/RS). The system uses robotics technology to improve scalability and cycle times for material delivery to manufacturing. This storage capacity ensures that items can be efficiently organized and accessed.

Artificial Inteligence 184

Artificial Inteligence Transportation Storage Artificial Intelligence 184

Netflix Tech

DECEMBER 17, 2024

The Challenge of Title Launch Observability As engineers, were wired to track system metrics like error rates, latencies, and CPU utilizationbut what about metrics that matter to a titlessuccess? The complexity of these operational demands underscored the urgent need for a scalable solution.

Systems Review 68

Systems Review Microservices Scalability Technical Review 68

AWS Machine Learning - AI

APRIL 23, 2024

As successful proof-of-concepts transition into production, organizations are increasingly in need of enterprise scalable solutions. After you create a knowledge base, you need to create a data source from the Amazon Simple Storage Service (Amazon S3) bucket containing the files for your knowledge base.

Knowledge Base 115

Knowledge Base Scalability Applications Generative AI 115

TechCrunch

MAY 3, 2023

Bend only buys those that cost at least $100 per metric ton. It’s investing in these very scalable carbon very sort of scientifically based carbon removal projects that, if successful, will come down the cost curve,” Power said. Bend’s current roster of projects includes CarbonCapture, Charm Industrial and Living Carbon.

Insurance 194

Insurance Marketing Metrics Storage 194

AWS Machine Learning - AI

MARCH 13, 2025

MaestroQA also offers a logic/keyword-based rules engine for classifying customer interactions based on other factors such as timing or process steps including metrics like Average Handle Time (AHT), compliance or process checks, and SLA adherence. Success metrics The early results have been remarkable.

Generative AI 96

Generative AI CTO Coach AWS Artificial Inteligence 96

CIO

OCTOBER 7, 2024

Scalability: Compute resources must adjust elastically based on workload demands. Storage: Data-intensive AI workloads require techniques for handling large data sets, including compression and deduplication. Storage: Data-intensive AI workloads require techniques for handling large data sets, including compression and deduplication.

Artificial Inteligence 179

Artificial Inteligence Artificial Intelligence Machine Learning Infrastructure 179

OTS Solutions

OCTOBER 10, 2019

Edge computing is a combination of networking, storage capabilities, and compute options that take place outside a centralized data center. Consider Scalability Options of IoT Applications. Consider The Interpretation of Outcome-Based Data Metrics. Additionally, companies have also taken advantage of edge computing and AI.

IoT 74

IoT Technical Advisors Data Center Hardware 74

AWS Machine Learning - AI

MARCH 20, 2025

With Amazon Bedrock Data Automation, enterprises can accelerate AI adoption and develop solutions that are secure, scalable, and responsible. Traditionally, documents from portals, email, or scans are stored in Amazon Simple Storage Service (Amazon S3) , requiring custom logic to split multi-document packages.

Data 97

Data Generative AI Artificial Inteligence Compliance 97

AWS Machine Learning - AI

SEPTEMBER 26, 2024

To accelerate iteration and innovation in this field, sufficient computing resources and a scalable platform are essential. High-quality video datasets tend to be massive, requiring substantial storage capacity and efficient data management systems. This integration brings several benefits to your ML workflow.

Case Study 104

Case Study Video Training Scalability 104

AWS Machine Learning - AI

JANUARY 13, 2025

The solution consists of the following steps: Relevant documents are uploaded and stored in an Amazon Simple Storage Service (Amazon S3) bucket. It compares the extracted text against the BQA standards that the model was trained on, evaluating the text for compliance, quality, and other relevant metrics.

Education 87

Education Report Technical Review Generative AI 87

AWS Machine Learning - AI

APRIL 10, 2025

Under Input data , enter the location of the source S3 bucket (training data) and target S3 bucket (model outputs and training metrics), and optionally the location of your validation dataset. For Job name , enter a name for the fine-tuning job. Check out the Generative AI Innovation Center for our latest work and customer success stories.

Case Study 96

Case Study Artificial Inteligence Study Generative AI 96

Xebia

JANUARY 3, 2022

Most Kubernetes clusters will have something like Promotheus in place to gather metrics. All of your data pipeline components can integrate with this to make the metrics available the same way as all the other applications running on the cluster. Store this output separately from the compute, generally on blob storage. .

Applications 130

Applications Data Metrics Storage 130

Xebia

JANUARY 3, 2022

Most Kubernetes clusters will have something like Promotheus in place to gather metrics. All of your data pipeline components can integrate with this to make the metrics available the same way as all the other applications running on the cluster. Store this output separately from the compute, generally on blob storage. .

Applications 130

Applications Data Metrics Storage 130

Netflix Tech

APRIL 27, 2023

A few years ago, we were paged by our SRE team due to our Metrics Alerting System falling behind — critical application health alerts reached engineers 45 minutes late! It became clear to us that we needed to solve the scalability problem with a fundamentally different approach. OK, Results?

Metrics 118

Metrics Systems Review Storage Weak Development Team 118

CIO

OCTOBER 23, 2023

With the paradigm shift from the on-premises data center to a decentralized edge infrastructure, companies are on a journey to build more flexible, scalable, distributed IT architectures, and they need experienced technology partners to support the transition.

Sustainability 190

Sustainability Data Center Technical Review Energy 190

TechCrunch

OCTOBER 7, 2021

Today a startup that’s built a scalable platform to manage that is announcing a big round of funding to continue its own scaling journey. The underlying large-scale metrics storage technology they built was eventually open sourced as M3.

Cloud 209

Cloud Sport Open Source Machine Learning 209

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

The Crazy Programmer

JULY 25, 2020

It will provide scalability as well as reduced costs. OS guest diagnostics – You can turn this on to get the metrics per minute. Diagnostics storage account – It is a storage account where your metrics will be written so we can also analyze them with other tools if we want. For more – [link].

Azure 249

Azure Virtualization Windows Data Center 249

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. Your tasks include analyzing metrics, providing sales insights, and answering data questions.

Generative AI 93

Generative AI Applications Technical Review Software Review 93

TechCrunch

AUGUST 2, 2022

Startups that are trying to create scalable solutions to the slow-rolling climate disaster we’ve created for ourselves are not so resilient, however. According to Ridge Ventures partner Yousuf Khan, founders should “just ask” investors about what kind of details and metrics will make quarterly decks optimally valuable.

Windows 208

Windows Small Business Automotive Wireless 208

CIO

JANUARY 9, 2023

For a retail customer, we’re talking about 66,000 hours saved in maintenance and compliance for maintaining the edge environment, which translates into about 480 metric tons of CO2 saved every year — thanks to automation and end-to-end monitoring,” said Arnaud Langer, Global Edge and IoT Senior Product Director at Atos.

Company 190

Company IoT Technical Review Data 190

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. Logging and monitoring You can monitor SageMaker AI using Amazon CloudWatch , which collects and processes raw data into readable, near real-time metrics.

Artificial Inteligence 67

Artificial Inteligence AWS Generative AI Metrics 67

AWS Machine Learning - AI

NOVEMBER 7, 2024

Model monitoring – The model monitoring service allows tenants to evaluate model performance against predefined metrics. A model monitoring solution gathers request and response data, runs evaluation jobs to calculate performance metrics against preset baselines, saves the outputs, and sends an alert in case of issues.

Generative AI 98

Generative AI AWS Enterprise Artificial Inteligence 98

AWS Machine Learning - AI

MARCH 7, 2025

Solution overview The policy documents reside in Amazon Simple Storage Service (Amazon S3) storage. The primary metric used to evaluate the success of FM and non-FM solutions was a manual grading system where business experts would grade results and compare them.

Generative AI 76

Generative AI Technical Review Insurance Policies 76

AWS Machine Learning - AI

MARCH 13, 2025

Amazon SageMaker AI provides a managed way to deploy TGI-optimized models, offering deep integration with Hugging Faces inference stack for scalable and cost-efficient LLM deployment. 11B-Vision-Instruct ) or Simple Storage Service (S3) URI containing the model files. xlarge across all metrics. meta-llama/Llama-3.2-11B-Vision-Instruct

Artificial Inteligence 80

Artificial Inteligence AWS Machine Learning Load Balancer 80

Existek

MARCH 24, 2025

They must track key metrics, analyze user feedback, and evolve the platform to meet customer expectations. Measuring your success with key metrics A great variety of metrics helps your team measure product outcomes and pursue continuous growth strategies. or Django serve for the core server logic and API integrations.

Development 52

Development How To Technical Review Quality Assurance 52

CIO

JANUARY 5, 2023

Fidelity National Information Services And among low-code tools, for instance, FIS chose WaveMaker because its components seemed more scalable than its competitors, and its per-developer licensing model was less expensive than the per runtime model of other tools. Vikram Ramani, Fidelity National Information Services CTO.

Software Review 195

Software Review Tools Off-The-Shelf Technical Review 195

Cloudera

NOVEMBER 9, 2023

Cloudera Operational Database (COD) is a high-performance and highly scalable operational database designed for powering the biggest data applications on the planet at any scale. We tested for two cloud storages, AWS S3 and Azure ABFS. of worker nodes: 20 (m5.2xlarge) (Storage as HDFS with HDD) Apache HBase on S3 No.

Storage 74

Storage Performance Cloud Azure 74

OTS Solutions

NOVEMBER 26, 2023

Multi-cloud is important because it reduces vendor lock-in and enhances flexibility, scalability, and resilience. It is crucial to consider factors such as security, scalability, cost, and flexibility when selecting cloud providers. How can multi-cloud optimize costs, efficiency, and scalability? transformation?

Strategy 130

Strategy Cloud Technical Review Development Team Review 130

AWS Machine Learning - AI

FEBRUARY 26, 2024

Our proposed architecture provides a scalable and customizable solution for online LLM monitoring, enabling teams to tailor your monitoring solution to your specific use cases and requirements. Overview of solution The first thing to consider is that different metrics require different computation considerations.

Artificial Inteligence 122

Artificial Inteligence AWS Lambda Metrics 122

Honeycomb

NOVEMBER 25, 2024

Honeycomb’s SLOs allow teams to define, measure, and manage reliability based on real user impact, rather than relying on traditional system metrics like CPU or memory usage. Instead, they consolidate logs, metrics, and traces into a unified workflow.

Continuous Delivery 59

Continuous Delivery Metrics Engineering Fractional CTO 59