Flipboard

NOVEMBER 22, 2024

This post is part of an ongoing series about governing the machine learning (ML) lifecycle at scale. It enables different business units within an organization to create, share, and govern their own data assets, promoting self-service analytics and reducing the time required to convert data experiments into production-ready applications.

Data Governance 131

Data Governance ML ML Data Lakes 131

AWS Machine Learning Blog

NOVEMBER 14, 2024

For a multi-account environment, you can track costs at an AWS account level to associate expenses. A combination of an AWS account and tags provides the best results. By setting up automated policy enforcement and checks, you can achieve cost optimization across your machine learning (ML) environment.

ML 115

ML ML AWS Machine Learning 115

Analytics Vidhya

JUNE 2, 2025

AWS offers a comprehensive suite of services designed to simplify every step of the ML lifecycle, from data collection to model monitoring. With purpose-built tools, AWS has positioned itself as a leader in the field, helping companies streamline their ML processes.

Machine Learning 178

Machine Learning Machine Learning AWS ML 178

Analytics Vidhya

NOVEMBER 1, 2021

Image 1- [link] Whether you are an experienced or an aspiring data scientist, you must have worked on machine learning model development comprising of data cleaning, wrangling, comparing different ML models, training the models on Python Notebooks like Jupyter. All the […].

AWS 319

AWS Data Scientist Machine Learning Machine Learning 319

Analytics Vidhya

JULY 31, 2023

In an exciting collaboration, Amazon Web Services (AWS) and Accel have unveiled “ML Elevate 2023,” a revolutionary six-week accelerator program aimed at empowering startups in the generative artificial intelligence (AI) domain.

AWS 208

AWS ML ML Artificial Intelligence 208

Analytics Vidhya

JANUARY 11, 2023

Introduction With regard to educating its community about data science, Analytics Vidhya has long been at the forefront. The post Introduction to BigQuery ML appeared first on Analytics Vidhya. We periodically hold “DataHour” events to increase community interest in studying data science.

ML 306

ML ML Data Science Analytics 306

Flipboard

MARCH 4, 2025

To achieve these goals, the AWS Well-Architected Framework provides comprehensive guidance for building and improving cloud architectures. This allows teams to focus more on implementing improvements and optimizing AWS infrastructure. This systematic approach leads to more reliable and standardized evaluations.

AWS 154

AWS AI AI Database 154

AWS Machine Learning Blog

NOVEMBER 7, 2024

It also uses a number of other AWS services such as Amazon API Gateway , AWS Lambda , and Amazon SageMaker. You can use AWS services such as Application Load Balancer to implement this approach. API Gateway also provides a WebSocket API. These components are illustrated in the following diagram.

AWS 121

AWS AI AI Machine Learning 121

Flipboard

JANUARY 9, 2025

They provide various documents (including PAN and Aadhar) and a loan amount as part of the KYC After the documents are uploaded, theyre automatically processed using various artificial intelligence and machine learning (AI/ML) services. Prerequisites This project is built using the AWS Cloud Development Kit (AWS CDK).

AWS 159

AWS Machine Learning Machine Learning AI 159

AWS Machine Learning Blog

NOVEMBER 26, 2024

AWS Trainium and AWS Inferentia based instances, combined with Amazon Elastic Kubernetes Service (Amazon EKS), provide a performant and low cost framework to run LLMs efficiently in a containerized environment. Adjust the following configuration to suit your needs, such as the Amazon EKS version, cluster name, and AWS Region.

AWS 108

AWS Clustering ML ML 108

Flipboard

OCTOBER 25, 2023

However, with the help of AI and machine learning (ML), new software tools are now available to unearth the value of unstructured data. In this post, we discuss how AWS can help you successfully address the challenges of extracting insights from unstructured data. Let’s understand how these AWS services are integrated in detail.

AWS 166

AWS ML ML Analytics 166

AWS Machine Learning Blog

OCTOBER 16, 2024

The company developed an automated solution called Call Quality (CQ) using AI services from Amazon Web Services (AWS). In this post, we demonstrate how the CQ solution used Amazon Transcribe and other AWS services to improve critical KPIs with AI-powered contact center call auditing and analytics.

AWS 93

AWS AI AI Machine Learning 93

AWS Machine Learning Blog

APRIL 29, 2025

InterVision Systems, LLC (InterVision), an AWS Premier Tier Services Partner and Amazon Connect Service Delivery Partner, has been at the forefront of this transformation, with their contact center solution designed specifically for city and county services called ConnectIV CX for Community Engagement.

AWS 113

AWS AI AI ML 113

AWS Machine Learning Blog

NOVEMBER 15, 2024

With the QnABot on AWS (QnABot), integrated with Microsoft Azure Entra ID access controls, Principal launched an intelligent self-service solution rooted in generative AI. Principal also used the AWS open source repository Lex Web UI to build a frontend chat interface with Principal branding.

AWS 121

AWS AI AI Machine Learning 121

AWS Machine Learning Blog

JANUARY 15, 2025

Powered by generative AI services on AWS and large language models (LLMs) multi-modal capabilities, HCLTechs AutoWise Companion provides a seamless and impactful experience. Understanding customer satisfaction and areas needing improvement from raw data is complex and often requires advanced analytical tools.

AWS 106

AWS SQL AI AI 106

AWS Machine Learning Blog

NOVEMBER 13, 2024

Prerequisites To implement the proposed solution, make sure that you have the following: An AWS account and a working knowledge of FMs, Amazon Bedrock , Amazon SageMaker , Amazon OpenSearch Service , Amazon S3 , and AWS Identity and Access Management (IAM). Amazon Titan Multimodal Embeddings model access in Amazon Bedrock.

AWS 123

AWS Database K-nearest Neighbors AI 123

AWS Machine Learning Blog

APRIL 3, 2025

At the heart of this transformation is the OMRON Data & Analytics Platform (ODAP), an innovative initiative designed to revolutionize how the company harnesses its data assets. This post explores how OMRON Europe is using Amazon Web Services (AWS) to build its advanced ODAP and its progress toward harnessing the power of generative AI.

AWS 90

AWS Data Governance Data Silos SQL 90

AWS Machine Learning Blog

OCTOBER 24, 2024

Machine learning (ML) helps organizations to increase revenue, drive business growth, and reduce costs by optimizing core business functions such as supply and demand forecasting, customer churn prediction, credit risk scoring, pricing, predicting late shipments, and many others. Let’s learn about the services we will use to make this happen.

Data Warehouse 121

Data Warehouse Machine Learning Machine Learning Cloud Data 121

AWS Machine Learning Blog

NOVEMBER 15, 2024

In this post, we discuss how GoDaddy’s Care & Services team, in close collaboration with the AWS GenAI Labs team, built Lighthouse—a generative AI solution powered by Amazon Bedrock. Then, the insights produced for each interaction are aggregated and visualized in dashboards and other analytical tools.

Analytics 119

Analytics Analytics AWS AI 119

AWS Machine Learning Blog

JANUARY 7, 2025

To address this need, AWS generative AI best practices framework was launched within AWS Audit Manager , enabling auditing and monitoring of generative AI applications. Figure 1 depicts the systems functionalities and AWS services. Select AWS Generative AI Best Practices Framework for assessment. Choose Create assessment.

AWS 118

AWS AI AI Database 118

AWS Machine Learning Blog

FEBRUARY 21, 2025

Thats why we use advanced technology and data analytics to streamline every step of the homeownership experience, from application to closing. Communication between the two systems was established through Kerberized Apache Livy (HTTPS) connections over AWS PrivateLink. Applying for a mortgage can be complex and time-consuming.

Data Science 83

Data Science AWS Hadoop Data Scientist 83

Flipboard

DECEMBER 3, 2024

Syngenta and AWS collaborated to develop Cropwise AI , an innovative solution powered by Amazon Bedrock Agents , to accelerate their sales reps’ ability to place Syngenta seed products with growers across North America. The collaboration between Syngenta and AWS showcases the transformative power of LLMs and AI agents.

AWS 148

AWS AI AI Machine Learning 148

AWS Machine Learning Blog

OCTOBER 16, 2024

Amazon SageMaker supports geospatial machine learning (ML) capabilities, allowing data scientists and ML engineers to build, train, and deploy ML models using geospatial data. SageMaker Processing provisions cluster resources for you to run city-, country-, or continent-scale geospatial ML workloads.

ML 124

ML ML Clustering Machine Learning 124

AWS Machine Learning Blog

NOVEMBER 22, 2023

Yes, the AWS re:Invent season is upon us and as always, the place to be is Las Vegas! Now all you need is some guidance on generative AI and machine learning (ML) sessions to attend at this twelfth edition of re:Invent. are the sessions dedicated to AWS DeepRacer ! are the sessions dedicated to AWS DeepRacer !

AWS 140

AWS ML ML AI 140

AWS Machine Learning Blog

NOVEMBER 13, 2024

You can now register machine learning (ML) models in Amazon SageMaker Model Registry with Amazon SageMaker Model Cards , making it straightforward to manage governance information for specific model versions directly in SageMaker Model Registry in just a few clicks.

ML 120

ML ML AWS Data Preparation 120

Flipboard

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.

AWS 146

AWS AI AI ML 146

AWS Machine Learning Blog

MARCH 19, 2025

When the stakes are high, success requires not just cutting-edge technology, but the ability to operationalize it at scalea challenge that AWS has consistently solved for customers. To train generative AI models at enterprise scale, ServiceNow uses NVIDIA DGX Cloud on AWS. The team achieved 97.1%

AWS 144

AWS AI AI Clustering 144

AWS Machine Learning Blog

JUNE 3, 2025

This post details our technical implementation using AWS services to create a scalable, multilingual AI assistant system that provides automated assistance while maintaining data security and GDPR compliance. Amazon Titan Embeddings also integrates smoothly with AWS, simplifying tasks like indexing, search, and retrieval.

AWS 97

AWS AI AI Machine Learning 97

AWS Machine Learning Blog

OCTOBER 28, 2024

Real-world applications vary in inference requirements for their artificial intelligence and machine learning (AI/ML) solutions to optimize performance and reduce costs. SageMaker Model Monitor monitors the quality of SageMaker ML models in production. Your client applications invoke this endpoint to get inferences from the model.

ML 121

ML ML AWS Data Scientist 121

AWS Machine Learning Blog

JUNE 11, 2024

Starting with the AWS Neuron 2.18 release , you can now launch Neuron DLAMIs (AWS Deep Learning AMIs) and Neuron DLCs (AWS Deep Learning Containers) with the latest released Neuron packages on the same day as the Neuron SDK release. AWS DLCs provide a set of Docker images that are pre-installed with deep learning frameworks.

AWS 131

AWS Deep Learning Deep Learning ML 131

Flipboard

APRIL 13, 2023

The seeds of a machine learning (ML) paradigm shift have existed for decades, but with the ready availability of scalable compute capacity, a massive proliferation of data, and the rapid advancement of ML technologies, customers across industries are transforming their businesses.

AWS 182

AWS ML ML AI 182

Flipboard

DECEMBER 18, 2023

Amazon Redshift powers data-driven decisions for tens of thousands of customers every day with a fully managed, AI-powered cloud data warehouse, delivering the best price-performance for your analytics workloads. Learn more about the AWS zero-ETL future with newly launched AWS databases integrations with Amazon Redshift.

AWS 139

AWS Data Warehouse ETL SQL 139

AWS Machine Learning Blog

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.

AWS 118

AWS AI AI ML 118

Flipboard

NOVEMBER 27, 2024

In the context of enterprise data asset search powered by a metadata catalog hosted on services such Amazon DataZone, AWS Glue, and other third-party catalogs, knowledge graphs can help integrate this linked data and also enable a scalable search paradigm that integrates metadata that evolves over time.

AWS 147

AWS Database ML ML 147

AWS Machine Learning Blog

OCTOBER 23, 2024

Amazon Web Services (AWS) has AI and generative AI solutions that you can integrate into your existing contact centers to improve post-call analysis. Post Call Analytics (PCA) is a solution that does most of the heavy lifting associated with providing an end-to-end solution that can process call recordings from your existing contact center.

Analytics 90

Analytics Analytics AWS Business Intelligence 90

AWS Machine Learning Blog

MARCH 17, 2025

AWS Lambda orchestrator, along with tool configuration and prompts, handles orchestration and invokes the Mistral model on Amazon Bedrock. AWS CloudTrail , AWS Identity and Access Management (IAM) , and Amazon CloudWatch handle data security.

AWS 121

AWS Natural Language Processing ML ML 121

Flipboard

MAY 5, 2025

Home Table of Contents Build a Search Engine: Setting Up AWS OpenSearch Introduction What Is AWS OpenSearch? What AWS OpenSearch Is Commonly Used For Key Features of AWS OpenSearch How Does AWS OpenSearch Work? Why Use AWS OpenSearch for Semantic Search? Looking for the source code to this post?

AWS 95

AWS Clustering Deep Learning Deep Learning 95