AWS Machine Learning - AI

NOVEMBER 1, 2024

Without a scalable approach to controlling costs, organizations risk unbudgeted usage and cost overruns. This scalable, programmatic approach eliminates inefficient manual processes, reduces the risk of excess spending, and ensures that critical applications receive priority. However, there are considerations to keep in mind.

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Generative AI AWS Artificial Inteligence Budget 142

Netflix Tech

NOVEMBER 11, 2022

Data analysis and machine learning techniques are great candidates to help secure large-scale streaming platforms. Although model-based anomaly detection approaches are more scalable and suitable for real-time analysis, they highly rely on the availability of (often labeled) context-specific data.

Machine Learning 128

Machine Learning Artificial Inteligence Metrics Training 128

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. and Anthropics Claude Haiku 3.

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Generative AI Artificial Inteligence Metrics AWS 92

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.

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Generative AI Video Engineering Artificial Inteligence 111

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.

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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. Optimizing these metrics directly enhances user experience, system reliability, and deployment feasibility at scale. xlarge across all metrics.

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Artificial Inteligence AWS Machine Learning Load Balancer 107

Netflix Tech

FEBRUARY 13, 2023

We have been leveraging machine learning (ML) models to personalize artwork and to help our creatives create promotional content efficiently. Case study: scaling match cutting using the media ML infra The Media Machine Learning Infrastructure is empowering various scenarios across Netflix, and some of them are described here.

Machine Learning 119

Machine Learning Artificial Inteligence Media Video 119

AWS Machine Learning - AI

NOVEMBER 7, 2024

SageMaker JumpStart is a machine learning (ML) hub that provides a wide range of publicly available and proprietary FMs from providers such as AI21 Labs, Cohere, Hugging Face, Meta, and Stability AI, which you can deploy to SageMaker endpoints in your own AWS account. It’s serverless so you don’t have to manage the infrastructure.

Generative AI 113

Generative AI AWS Enterprise Artificial Inteligence 113

Xebia

FEBRUARY 23, 2025

By boosting productivity and fostering innovation, human-AI collaboration will reshape workplaces, making operations more efficient, scalable, and adaptable. We observe that the skills, responsibilities, and tasks of data scientists and machine learning engineers are increasingly overlapping.

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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.

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Knowledge Base Applications Artificial Inteligence Generative AI 103

Altexsoft

JUNE 29, 2021

In a world fueled by disruptive technologies, no wonder businesses heavily rely on machine learning. Google, in turn, uses the Google Neural Machine Translation (GNMT) system, powered by ML, reducing error rates by up to 60 percent. The role of a machine learning engineer in the data science team.

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Artificial Inteligence Machine Learning Engineering Data Engineering 105

Xebia

DECEMBER 23, 2024

Scalability and Flexibility: The Double-Edged Sword of Pay-As-You-Go Models Pay-as-you-go pricing models are a game-changer for businesses. In these scenarios, the very scalability that makes pay-as-you-go models attractive can undermine an organization’s return on investment.

Data 130

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Xebia

DECEMBER 23, 2024

Scalability and Flexibility: The Double-Edged Sword of Pay-As-You-Go Models Pay-as-you-go pricing models are a game-changer for businesses. In these scenarios, the very scalability that makes pay-as-you-go models attractive can undermine an organization’s return on investment.

Data 130

Data Storage Culture Resources 130

AWS Machine Learning - AI

JANUARY 13, 2025

Amazon SQS serves as a buffer, enabling the different components to send and receive messages in a reliable manner without being directly coupled, enhancing scalability and fault tolerance of the system. An event notification is sent to an Amazon Simple Queue Service (Amazon SQS) queue to align each file for further processing.

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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. Review the model response and metrics provided.

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Generative AI Artificial Inteligence AWS Technical Review 132

TechCrunch

DECEMBER 17, 2021

Powered by machine learning, cove.tool is designed to give architects, engineers and contractors a way to measure a wide range of building performance metrics while reducing construction cost. It’s a prime example of a scalable business that employs machine learning and principled leadership to literally build a better future.”.

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Sustainability Construction Tools Machine Learning 253

Cloudera

DECEMBER 4, 2024

Today, Artificial Intelligence (AI) and Machine Learning (ML) are more crucial than ever for organizations to turn data into a competitive advantage. The Cloudera AI Inference service is a highly scalable, secure, and high-performance deployment environment for serving production AI models and related applications.

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AWS Machine Learning - AI

NOVEMBER 14, 2024

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. Architecture The following figure shows the architecture of the solution.

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AWS Machine Learning - AI

MARCH 3, 2025

The architectures modular design allows for scalability and flexibility, making it particularly effective for training LLMs that require distributed computing capabilities. The SageMaker training job will compute ROUGE metrics for both the base DeepSeek-R1 Distill Qwen 7B model and the fine-tuned one.

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AWS Machine Learning - AI

MARCH 20, 2025

It often requires managing multiple machine learning (ML) models, designing complex workflows, and integrating diverse data sources into production-ready formats. With Amazon Bedrock Data Automation, enterprises can accelerate AI adoption and develop solutions that are secure, scalable, and responsible.

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AWS Machine Learning - AI

MAY 2, 2025

Secure access using Route 53 and Amplify The journey begins with the user accessing the WordFinder app through a domain managed by Amazon Route 53 , a highly available and scalable cloud DNS web service. Amplify is a set of tools and services that enable developers to build and deploy secure, scalable, and full stack apps.

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Generative AI AWS Lambda Authentication 92

d2iq

FEBRUARY 19, 2021

Going from a prototype to production is perilous when it comes to machine learning: most initiatives fail , and for the few models that are ever deployed, it takes many months to do so. As little as 5% of the code of production machine learning systems is the model itself. Adapted from Sculley et al.

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Artificial Inteligence Machine Learning Technical Review Software Review 103

AWS Machine Learning - AI

APRIL 10, 2025

For instance, Pixtral Large is highly effective at spotting irregularities or insightful trends within training loss curves or performance metrics, enhancing the accuracy of data-driven decision-making. Andre Boaventura is a Principal AI/ML Solutions Architect at AWS, specializing in generative AI and scalable machine learning solutions.

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Generative AI AWS Technical Review Artificial Inteligence 108

AWS Machine Learning - AI

APRIL 23, 2024

As successful proof-of-concepts transition into production, organizations are increasingly in need of enterprise scalable solutions. She leads machine learning projects in various domains such as computer vision, natural language processing, and generative AI.

Knowledge Base 126

Knowledge Base Scalability Applications Generative AI 126

Netflix Tech

DECEMBER 10, 2020

The increasing vastness and diversity of what our members are watching make answering these questions particularly challenging using conventional methods, which draw on a limited set of comparable titles and their respective performance metrics (e.g., box office, Nielsen ratings). This challenge is also an opportunity.

Machine Learning 97

Machine Learning Artificial Inteligence Film Training 97

Openxcell

MARCH 30, 2023

From human genome mapping to Big Data Analytics, Artificial Intelligence (AI),Machine Learning, Blockchain, Mobile digital Platforms (Digital Streets, towns and villages),Social Networks and Business, Virtual reality and so much more. What is Machine Learning? Machine Learning delivers on this need.

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AWS Machine Learning - AI

NOVEMBER 26, 2024

there is an increasing need for scalable, reliable, and cost-effective solutions to deploy and serve these models. For production use, make sure that load balancing and scalability considerations are addressed appropriately. He specializes in machine learning-related topics and has a predilection for startups.

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AWS Machine Learning - AI

MARCH 11, 2025

How do Amazon Nova Micro and Amazon Nova Lite perform against GPT-4o mini in these same metrics? Vector database FloTorch selected Amazon OpenSearch Service as a vector database for its high-performance metrics. is helping enterprise customers design and manage agentic workflows in a secure and scalable manner.

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Artificial Inteligence Knowledge Base Comparison Generative AI 111

AWS Machine Learning - AI

SEPTEMBER 26, 2024

Trained on the Amazon SageMaker HyperPod , Dream Machine excels in creating consistent characters, smooth motion, and dynamic camera movements. To accelerate iteration and innovation in this field, sufficient computing resources and a scalable platform are essential. The following screenshot shows a Grafana dashboard.

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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. Then we repeated the test with concurrency 10.

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Artificial Inteligence AWS Generative AI Metrics 77

AWS Machine Learning - AI

FEBRUARY 12, 2025

By using this framework and SageMaker AI scalable infrastructure, we showed how to achieve up to twofold speedups in LLM inference while maintaining model quality. However, for better results, its generally recommended to set the number of epochs to at least 2 or 3.

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Artificial Inteligence Training AWS Machine Learning 78

Hacker Earth Developers Blog

DECEMBER 4, 2024

Lack of standardized metrics Interpersonal skills are inherently difficult to measure, and many organizations lack standardized methods or benchmarks for assessing them. Example: “Imagine you’re explaining how machine learning works to a client with no technical background. How would you describe it?”

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Recruiting Technical Review Software Review Exercises 130

AWS Machine Learning - AI

JANUARY 29, 2025

Centralized model In a centralized operating model, all generative AI activities go through a central generative artificial intelligence and machine learning (AI/ML) team that provisions and manages end-to-end AI workflows, models, and data across the enterprise. Amazon Bedrock cost and usage will be recorded in each LOBs AWS accounts.

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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.

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AWS Machine Learning - AI

MARCH 7, 2025

Evaluation criteria To assess the quality of the results produced by generative AI, Verisk evaluated based on the following criteria: Accuracy Consistency Adherence to context Speed and cost To assess the generative AI results accuracy and consistency, Verisk designed human evaluation metrics with the help of in-house insurance domain experts.

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Generative AI Technical Review Insurance Policies 101

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.

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Generative AI CTO Coach AWS Artificial Inteligence 113

CIO

DECEMBER 19, 2024

In especially high demand are IT pros with software development, data science and machine learning skills. While crucial, if organizations are only monitoring environmental metrics, they are missing critical pieces of a comprehensive environmental, social, and governance (ESG) program and are unable to fully understand their impacts.

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