AWS Machine Learning Blog

DECEMBER 7, 2023

In this post, we describe the end-to-end workforce management system that begins with location-specific demand forecast, followed by courier workforce planning and shift assignment using Amazon Forecast and AWS Step Functions. AWS Step Functions automatically initiate and monitor these workflows by simplifying error handling.

AWS 133

AWS Algorithm Machine Learning Machine Learning 133

AWS Machine Learning Blog

MARCH 14, 2024

Generative AI with AWS The emergence of FMs is creating both opportunities and challenges for organizations looking to use these technologies. Beyond hardware, data cleaning and processing, model architecture design, hyperparameter tuning, and training pipeline development demand specialized machine learning (ML) skills.

AWS 136

AWS AI AI ML 136

AWS Machine Learning Blog

JUNE 22, 2023

Working with AWS, Light & Wonder recently developed an industry-first secure solution, Light & Wonder Connect (LnW Connect), to stream telemetry and machine health data from roughly half a million electronic gaming machines distributed across its casino customer base globally when LnW Connect reaches its full potential.

AWS 118

AWS ML ML Machine Learning 118

AWS Machine Learning Blog

SEPTEMBER 19, 2023

Quantitative modeling and forecasting – Generative models can synthesize large volumes of financial data to train machine learning (ML) models for applications like stock price forecasting, portfolio optimization, risk modeling, and more. Multi-modal models that understand diverse data sources can provide more robust forecasts.

AWS 134

AWS AI AI ML 134

Dataconomy

FEBRUARY 6, 2024

With the ability to analyze a vast amount of data in real-time, identify patterns, and detect anomalies, AI/ML-powered tools are enhancing the operational efficiency of businesses in the IT sector. Why does AI/ML deserve to be the future of the modern world? Let’s understand the crucial role of AI/ML in the tech industry.

ML 121

ML ML Machine Learning Machine Learning 121

AWS Machine Learning Blog

MAY 31, 2023

Running machine learning (ML) workloads with containers is becoming a common practice. What you get is an ML development environment that is consistent and portable. In this post, we show you how to run your ML training jobs in a container using Amazon ECS to deploy, manage, and scale your ML workload.

AWS 110

AWS Machine Learning Machine Learning Clustering 110

AWS Machine Learning Blog

MAY 8, 2024

In 2022, Dialog Axiata made significant progress in their digital transformation efforts, with AWS playing a key role in this journey. Dialog Axiata runs some of their business-critical telecom workloads on AWS, including Charging Gateway, Payment Gateway, Campaign Management System, SuperApp, and various analytics tasks.

ML 130

ML ML AWS AI 130

AWS Machine Learning Blog

NOVEMBER 25, 2024

You can try out the models with SageMaker JumpStart, a machine learning (ML) hub that provides access to algorithms, models, and ML solutions so you can quickly get started with ML. The model is deployed in an AWS secure environment and under your virtual private cloud (VPC) controls, helping provide data security.

AWS 118

AWS ML ML Machine Learning 118

AWS Machine Learning Blog

MARCH 8, 2023

MPII is using a machine learning (ML) bid optimization engine to inform upstream decision-making processes in power asset management and trading. MPII’s bid optimization engine solution uses ML models to generate optimal bids for participation in different markets. Data comes from disparate sources in a number of formats.

AWS 100

AWS Machine Learning Machine Learning Analytics 100

AWS Machine Learning Blog

NOVEMBER 15, 2023

In this post, we demonstrate how data aggregated within the AWS CCI Post Call Analytics solution allowed Principal to gain visibility into their contact center interactions, better understand the customer journey, and improve the overall experience between contact channels while also maintaining data integrity and security.

AWS 128

AWS Analytics Analytics ML 128

AWS Machine Learning Blog

JANUARY 13, 2023

In this two-part series, we demonstrate how you can deploy a cloud-based FL framework on AWS. We have developed an FL framework on AWS that enables analyzing distributed and sensitive health data in a privacy-preserving manner. In this post, we showed how you can deploy the open-source FedML framework on AWS.

AWS 104

AWS Analytics Analytics Machine Learning 104

AWS Machine Learning Blog

SEPTEMBER 19, 2023

Amazon SageMaker Feature Store provides an end-to-end solution to automate feature engineering for machine learning (ML). For many ML use cases, raw data like log files, sensor readings, or transaction records need to be transformed into meaningful features that are optimized for model training. SageMaker Studio set up.

ML 129

ML ML AWS SQL 129

AWS Machine Learning Blog

JUNE 26, 2023

Machine learning (ML) administrators play a critical role in maintaining the security and integrity of ML workloads. To address this challenge, AWS introduced Amazon SageMaker Role Manager in December 2022. SageMaker Role Manager also allows for fine-grained customization.

AWS 93

AWS ML ML Data Scientist 93

AWS Machine Learning Blog

AUGUST 31, 2023

As Artificial Intelligence (AI) and Machine Learning (ML) technologies have become mainstream, many enterprises have been successful in building critical business applications powered by ML models at scale in production.

AWS 127

AWS ML ML Data Scientist 127

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 122

Data Warehouse Machine Learning Machine Learning Cloud Data 122

AWS Machine Learning Blog

DECEMBER 4, 2024

Businesses are under pressure to show return on investment (ROI) from AI use cases, whether predictive machine learning (ML) or generative AI. Only 54% of ML prototypes make it to production, and only 5% of generative AI use cases make it to production. Using SageMaker, you can build, train and deploy ML models.

ML 97

ML ML AWS AI 97

AWS Machine Learning Blog

MARCH 29, 2023

In this post, we discuss how the IEO developed UNDP’s artificial intelligence and machine learning (ML) platform—named Artificial Intelligence for Development Analytics (AIDA)— in collaboration with AWS, UNDP’s Information and Technology Management Team (UNDP ITM), and the United Nations International Computing Centre (UNICC).

AWS 95

AWS ML ML Data Classification 95

IBM Journey to AI blog

MAY 26, 2023

The role of AWS and cloud security in life sciences However, with greater power comes great responsibility. According to IBM’s Cost of a data breach 2022 report, 83% of organizations studied have had more than one data breach, and 60% of these breaches caused organizations to pass price increases on to clients.

AWS 92

AWS Machine Learning Machine Learning Cloud Computing 92

O'Reilly Media

JANUARY 10, 2023

In reality, 2022 has been a fantastic year for AI. GitHub CoPilot also wasn’t new in 2022, but in the last year we’ve heard of more and more programmers who are using ChatGPT to write production code. NFTs seemed an awful lot like buying a painting and framing the receipt.

AI 102

AI AI AWS ML 102

Towards AI

APRIL 4, 2023

Last Updated on April 4, 2023 by Editorial Team Introducing a Python SDK that allows enterprises to effortlessly optimize their ML models for edge devices. With their groundbreaking web-based Studio platform, engineers have been able to collect data, develop and tune ML models, and deploy them to devices.

ML 98

ML ML Python Machine Learning 98

AWS Machine Learning Blog

JANUARY 13, 2023

To mitigate these challenges, we propose a federated learning (FL) framework, based on open-source FedML on AWS, which enables analyzing sensitive HCLS data. It involves training a global machine learning (ML) model from distributed health data held locally at different sites.

AWS 97

AWS Analytics Analytics Machine Learning 97

AWS Machine Learning Blog

MARCH 30, 2023

In 2022/23 so far, he has almost secured a clean sheet every other match for Die Schwarzgelben, despite the team’s inconsistency and often poor midfield performance. Bundesliga and AWS have collaborated to perform an in-depth examination to study the quantification of achievements of Bundesliga’s keepers.

Machine Learning 100

Machine Learning Machine Learning AWS Apache Kafka 100

AWS Machine Learning Blog

FEBRUARY 29, 2024

Amazon SageMaker Studio offers a comprehensive set of capabilities for machine learning (ML) practitioners and data scientists. These include a fully managed AI development environment with an integrated development environment (IDE), simplifying the end-to-end ML workflow.

AWS 133

AWS AI AI Data Scientist 133

AWS Machine Learning Blog

MARCH 28, 2024

It provides a collection of pre-trained models that you can deploy quickly and with ease, accelerating the development and deployment of machine learning (ML) applications. For more information on Mixtral-8x7B Instruct on AWS, refer to Mixtral-8x7B is now available in Amazon SageMaker JumpStart. license, for use without restrictions.

AWS 138

AWS Machine Learning Machine Learning AI 138

AWS Machine Learning Blog

FEBRUARY 6, 2024

Overall, $384 billion is projected as the cost of pharmacovigilance activities to the overall healthcare industry by 2022. In this post, we show how to develop an ML-driven solution using Amazon SageMaker for detecting adverse events using the publicly available Adverse Drug Reaction Dataset on Hugging Face.

AWS 129

AWS ML ML Data Preparation 129

AWS Machine Learning Blog

MARCH 30, 2023

This style of play is also evident when you look at the ball recovery times for the first 24 match days in the 2022/23 season. Let’s look at certain games played by Cologne in the 2022/23 season. To learn more about the partnership between AWS and Bundesliga, visit Bundesliga on AWS ! On average, it took them only 1.4

AWS 99

AWS Machine Learning Machine Learning Apache Kafka 99

AWS Machine Learning Blog

FEBRUARY 19, 2024

Note that you can also use Knowledge Bases for Amazon Bedrock service APIs and the AWS Command Line Interface (AWS CLI) to programmatically create a knowledge base. Create a Lambda function This Lambda function is deployed using an AWS CloudFormation template available in the GitHub repo under the /cfn folder.

AWS 127

AWS Database Machine Learning Machine Learning 127

AWS Machine Learning Blog

APRIL 9, 2024

In the following sections, we explain how you can use these features with either the AWS Management Console or SDK. The correct response for this query is “Amazon’s annual revenue increased from $245B in 2019 to $434B in 2022,” based on the documents in the knowledge base. Suyin Wang is an AI/ML Specialist Solutions Architect at AWS.

Machine Learning 139

Machine Learning Machine Learning AWS ML 139

AWS Machine Learning Blog

OCTOBER 21, 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. The import job can be invoked using the AWS Management Console or through APIs. Service access role.

AWS 143

AWS AI AI ML 143

AWS Machine Learning Blog

MARCH 14, 2024

In this post we highlight how the AWS Generative AI Innovation Center collaborated with the AWS Professional Services and PGA TOUR to develop a prototype virtual assistant using Amazon Bedrock that could enable fans to extract information about any event, player, hole or shot level details in a seamless interactive manner.

SQL 134

SQL AWS AI AI 134

AWS Machine Learning Blog

JULY 1, 2024

Use the provided AWS CloudFormation template in your preferred AWS Region and configure the bot. Prerequisites To implement this solution, you need the following: An AWS account with privileges to create AWS Identity and Access Management (IAM) roles and policies. For instructions, see Model access.

AWS 132

AWS AI AI Natural Language Processing 132

AWS Machine Learning Blog

SEPTEMBER 25, 2024

After the documents are successfully copied to the S3 bucket, the event automatically invokes an AWS Lambda The Lambda function invokes the Amazon Bedrock knowledge base API to extract embeddings—essential data representations—from the uploaded documents. Choose the AWS Region where you want to create the bucket. Choose Create bucket.

AWS 128

AWS AI AI Database 128

AWS Machine Learning Blog

NOVEMBER 22, 2023

Customers across all industries run IDP workloads on AWS to deliver business value by automating use cases such as KYC forms, tax documents, invoices, insurance claims, delivery reports, inventory reports, and more. With AWS managed services, you can minimize the impact of your IDP workload on compute, networking, and storage.

AWS 124

AWS Natural Language Processing ML ML 124

IBM Journey to AI blog

JULY 19, 2023

In this blog post, we will showcase how IBM Consulting is partnering with AWS and leveraging Large Language Models (LLMs), on IBM Consulting’s generative AI-Automation platform (ATOM), to create industry-aware, life sciences domain-trained foundation models to generate first drafts of the narrative documents, with an aim to assist human teams.

AWS 73

AWS AI AI Machine Learning 73

AWS Machine Learning Blog

SEPTEMBER 10, 2024

As part of its goal to help people live longer, healthier lives, Genomics England is interested in facilitating more accurate identification of cancer subtypes and severity, using machine learning (ML). We provide insights on interpretability, robustness, and best practices of architecting complex ML workflows on AWS with Amazon SageMaker.

Supervised Learning 95

Supervised Learning Machine Learning Machine Learning AWS 95

AWS Machine Learning Blog

APRIL 12, 2023

In this post, we describe how AWS Partner Airis Solutions used Amazon Lookout for Equipment , AWS Internet of Things (IoT) services, and CloudRail sensor technologies to provide a state-of-the-art solution to address these challenges. It’s an easy way to run analytics on IoT data to gain accurate insights.

AWS 117

AWS ML ML Machine Learning 117

AWS Machine Learning Blog

DECEMBER 29, 2022

Integration with AWS Service Quotas. You can now proactively manage all your Amazon Textract service quotas via the AWS Service Quotas console. Amazon Textract now has higher default service quotas for several asynchronous and synchronous API operations in multiple major AWS Regions. About the Author.

AWS 125

AWS ML ML Machine Learning 125