AWS Machine Learning - AI

DECEMBER 4, 2024

Building generative AI applications presents significant challenges for organizations: they require specialized ML expertise, complex infrastructure management, and careful orchestration of multiple services. Building a generative AI application SageMaker Unified Studio offers tools to discover and build with generative AI.

Generative AI 106

Generative AI Applications Technical Review Software Review 106

CIO

APRIL 16, 2025

tagging, component/application mapping, key metric collection) and tools incorporated to ensure data can be reported on sufficiently and efficiently without creating an industry in itself! to identify opportunities for optimizations that reduce cost, improve efficiency and ensure scalability.

Technical Review 186

Technical Review Enterprise Strategy Innovation 186

Honeycomb

FEBRUARY 26, 2025

Among these signals, OpenTelemetry metrics are crucial in helping engineers understand their systems. In this blog, well explore OpenTelemetry metrics, how they work, and how to use them effectively to ensure your systems and applications run smoothly. What are OpenTelemetry metrics?

Metrics 69

Metrics Engineering Trends System 69

AWS Machine Learning - AI

NOVEMBER 1, 2024

With demand for generative AI applications surging across projects and multiple lines of business, accurately allocating and tracking spend becomes more complex. Without a scalable approach to controlling costs, organizations risk unbudgeted usage and cost overruns.

Generative AI 142

Generative AI AWS Artificial Inteligence Budget 142

CIO

JANUARY 7, 2025

In todays fast-paced digital landscape, the cloud has emerged as a cornerstone of modern business infrastructure, offering unparalleled scalability, agility, and cost-efficiency. Technology modernization strategy : Evaluate the overall IT landscape through the lens of enterprise architecture and assess IT applications through a 7R framework.

Cloud 147

Cloud Strategy Architecture Policies 147

OverOps

JULY 21, 2020

In this post we’ll take a pragmatic approach to the realm of Kubernetes-based applications and go over a list of steps to help ensure reliability throughout the pipeline. Because even though ensuring application quality today is two times as difficult as it was in the past, there are also twice as many ways for us to improve it.

Applications 226

Applications Microservices Testing Analysis 226

CIO

FEBRUARY 27, 2025

Mainframes hold an enormous amount of critical and sensitive business data including transactional information, healthcare records, customer data, and inventory metrics. It enhances scalability, flexibility, and cost-effectiveness, while maximizing existing infrastructure investments.

Cloud 147

Cloud Data Analytics Infrastructure 147

AWS Machine Learning - AI

OCTOBER 16, 2024

As DPG Media grows, they need a more scalable way of capturing metadata that enhances the consumer experience on online video services and aids in understanding key content characteristics. Word information lost (WIL) – This metric quantifies the amount of information lost due to transcription errors.

Media 117

Media Video Artificial Inteligence Generative AI 117

AWS Machine Learning - AI

APRIL 23, 2024

Generative artificial intelligence (AI) has gained significant momentum with organizations actively exploring its potential applications. As successful proof-of-concepts transition into production, organizations are increasingly in need of enterprise scalable solutions.

Knowledge Base 126

Knowledge Base Scalability Applications Generative AI 126

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 92

Generative AI Artificial Inteligence Metrics AWS 92

Hacker Earth Developers Blog

DECEMBER 25, 2024

Work simulations Work simulations replicate real-life tasks and help you evaluate candidates practical application of skills. For instance, assigning a project that involves designing a scalable database architecture can reveal a candidates technical depth and strategic thinking.

Technical Review 130

Technical Review Software Review Leadership Metrics 130

Xebia

JANUARY 3, 2022

A data pipeline component is nothing more than a normal application. It goes through the same lifecycle as any other application: the component is developed and tested, an artifact is built and finally it gets deployed. During this the application uses normal application development processes like: CI/CD. Scalability.

Applications 130

Applications Data Metrics Storage 130

Xebia

JANUARY 3, 2022

A data pipeline component is nothing more than a normal application. It goes through the same lifecycle as any other application: the component is developed and tested, an artifact is built and finally it gets deployed. During this the application uses normal application development processes like: CI/CD. Scalability.

Applications 130

Applications Data Metrics Storage 130

Xebia

FEBRUARY 23, 2025

By boosting productivity and fostering innovation, human-AI collaboration will reshape workplaces, making operations more efficient, scalable, and adaptable. GenAI in 2025: Security, Observability, and the further rise of LLMOps The initial hype surrounding AI is evolving into a focus on practical applications that deliver measurable value.

Trends 130

Trends Data Artificial Inteligence Weak Development Team 130

Netflix Tech

DECEMBER 17, 2024

Subsequent posts will detail examples of exciting analytic engineering domain applications and aspects of the technical craft. 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. Enter DataJunction (DJ).

Analytics 84

Analytics Engineering Survey Metrics 84

CIO

MARCH 26, 2025

He says, My role evolved beyond IT when leadership recognized that platform scalability, AI-driven matchmaking, personalized recommendations, and data-driven insights were crucial for business success. Shajy points out that its crucial to deal with the challenge of managing multiple applications across operations.

Real Estate 159

Real Estate Leadership Study Technology 159

AWS Machine Learning - AI

MARCH 13, 2025

Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies, such as AI21 Labs, Anthropic, Cohere, Meta, Mistral, Stability AI, and Amazon through a single API, along with a broad set of capabilities to build generative AI applications with security, privacy, and responsible AI.

Generative AI 113

Generative AI CTO Coach AWS Artificial Inteligence 113

AWS Machine Learning - AI

NOVEMBER 15, 2024

Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies like AI21 Labs, Anthropic, Cohere, Meta, Mistral AI, Stability AI, and Amazon through a single API, along with a broad set of capabilities to build generative AI applications with security, privacy, and responsible AI.

Generative AI 113

Generative AI AWS Groups Artificial Inteligence 113

AWS Machine Learning - AI

JANUARY 29, 2025

Open foundation models (FMs) have become a cornerstone of generative AI innovation, enabling organizations to build and customize AI applications while maintaining control over their costs and deployment strategies. Review the model response and metrics provided. This requires 2 Custom Model Units.

Generative AI 132

Generative AI Artificial Inteligence AWS Technical Review 132

CIO

DECEMBER 20, 2024

This involves monitoring the historical performance of the application and database to ensure that resources are not over-provisioned, which can lead to overhead costs. Combining cost visibility tools with automation can help organizations maintain financial efficiency without affecting the performance or scalability of Azure environments.

Azure 88

Azure Analysis Cloud Resources 88

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

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. With Amazon Cognito , we are able to protect the web application from unauthenticated users.

Generative AI 111

Generative AI Video Engineering Artificial Inteligence 111

AWS Machine Learning - AI

MARCH 11, 2025

One of the most critical applications for LLMs today is Retrieval Augmented Generation (RAG), which enables AI models to ground responses in enterprise knowledge bases such as PDFs, internal documents, and structured data. How do Amazon Nova Micro and Amazon Nova Lite perform against GPT-4o mini in these same metrics?

Artificial Inteligence 111

Artificial Inteligence Knowledge Base Comparison Generative AI 111

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

Cloudera

DECEMBER 4, 2024

To unlock the full potential of AI, however, businesses need to deploy models and AI applications at scale, in real-time, and with low latency and high throughput. The Cloudera AI Inference service is a highly scalable, secure, and high-performance deployment environment for serving production AI models and related applications.

Artificial Inteligence 73

Artificial Inteligence Architecture Machine Learning Metrics 73

AWS Machine Learning - AI

NOVEMBER 7, 2024

While organizations continue to discover the powerful applications of generative AI , adoption is often slowed down by team silos and bespoke workflows. Generative AI components provide functionalities needed to build a generative AI application. Each tenant has different requirements and needs and their own application stack.

Generative AI 113

Generative AI AWS Enterprise Artificial Inteligence 113

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. To do so, we create a knowledge base. For Job name , enter a name for the fine-tuning job.

Case Study 123

Case Study Artificial Inteligence Study Generative AI 123

Openxcell

JANUARY 20, 2025

It also offers extensive industry and task-specific customization and secure integration with web/mobile applications. Llama Index LlamaIndex is also used to build RAG applications. USE CASES: Build interactive LLM applications, AI summarizers, etc. It is multilingual and improves search results with advanced AI technology.

Artificial Inteligence 105

Artificial Inteligence Tools Open Source Architecture 105

Honeycomb

APRIL 23, 2025

Get your free copy of Charity’s Cost Crisis in Metrics Tooling whitepaper. Metrics-heavy shops are used to blaming custom metrics for their cost spikes, and for good reason. If you use a lot of custom metrics, switching to the 2.0 Every multiple pillars platform can handle your metrics, logs, traces, errors, etc.,

Weak Development Team 106

Weak Development Team Metrics Storage Engineering 106

AWS Machine Learning - AI

JANUARY 29, 2025

Generative AI can revolutionize organizations by enabling the creation of innovative applications that offer enhanced customer and employee experiences. For a comprehensive read about vector store and embeddings, you can refer to The role of vector databases in generative AI applications.

Generative AI 98

Generative AI Organization Enterprise Artificial Inteligence 98

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. Startup probe – Gives the application time to start up. It allows up to 25 minutes for the application to start before considering it failed. With the rise of large language models (LLMs) like Meta Llama 3.1,

AWS 103

AWS Load Balancer Software Review Artificial Inteligence 103

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.

Artificial Inteligence 107

Artificial Inteligence AWS Machine Learning Load Balancer 107

AWS Machine Learning - AI

MARCH 7, 2025

Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies like AI21 Labs, Anthropic, Cohere, Meta, Mistral AI, Stability AI, and Amazon through a single API, along with a broad set of capabilities to build generative AI applications with security, privacy, and responsible AI.

Generative AI 101

Generative AI Technical Review Insurance Policies 101

OTS Solutions

OCTOBER 10, 2019

When it comes to developing applications and deploying technology, AI and IoT can be hugely successful if the right deployment measures are taken into consideration. However, even though the deployment of IoT application development has seen tremendous growth, the challenging aspect of implementation cannot be ignored.

IoT 74

IoT Technical Advisors Data Center Hardware 74

TechCrunch

OCTOBER 27, 2020

So developers and data scientists can go from useful data in any shape, any form to useful applications in a matter of minutes. Rockset supplied a few metrics to illustrate this. Series D as scalable database resonates. And we’re offering this as a service. And it would take months today,” he told me in 2018.

Analytics 216

Analytics Data Metrics Scalability 216

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.

Education 112

Education Report Technical Review Generative AI 112

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. SageMaker AI provides enterprise-grade security features to help keep your data and applications secure and private.

Artificial Inteligence 77

Artificial Inteligence AWS Generative AI Metrics 77