AWS Machine Learning

AUGUST 29, 2022

You can now use cross-account support for Amazon SageMaker Pipelines to share pipeline entities across AWS accounts and access shared pipelines directly through Amazon SageMaker API calls. Customers are increasingly adopting multi-account architectures for deploying and managing machine learning (ML) workflows with SageMaker Pipelines.

Accountability 97

Accountability APIs Management Engineering 97

AWS Machine Learning

SEPTEMBER 3, 2024

Harnessing the power of big data has become increasingly critical for businesses looking to gain a competitive edge. However, managing the complex infrastructure required for big data workloads has traditionally been a significant challenge, often requiring specialized expertise.

Big data 115

Big data Engineering Accountability Real estate 115

AWS Machine Learning

AUGUST 13, 2024

The healthcare industry generates and collects a significant amount of unstructured textual data, including clinical documentation such as patient information, medical history, and test results, as well as non-clinical documentation like administrative records. Lastly, the Lambda function stores the question list in Amazon S3.

Healthcare 131

Healthcare APIs Consulting Consulting 131

AWS Machine Learning

JULY 29, 2022

Each onboarded user in Studio has their own dedicated set of resources, such as compute instances, a home directory on an Amazon Elastic File System (Amazon EFS) volume, and a dedicated AWS Identity and Access Management (IAM) execution role. Organizations manage their users in AWS SSO instead of the SageMaker domain.

Management 95

Management APIs Accountability Construction 95

AWS Machine Learning

NOVEMBER 14, 2023

In the era of big data and AI, companies are continually seeking ways to use these technologies to gain a competitive edge. At the core of these cutting-edge solutions lies a foundation model (FM), a highly advanced machine learning model that is pre-trained on vast amounts of data.

Management 117

Management Best practices APIs Calibration 117

AWS Machine Learning

SEPTEMBER 6, 2023

With Amazon Kendra, you can easily aggregate content from a variety of content repositories into an index that lets you quickly search all your enterprise data and find the most accurate answer. Adobe Experience Manager (AEM) is a content management system that’s used for creating website or mobile app content. and above).

Management 124

Management Enterprise Analytics Finance 124

AWS Machine Learning

OCTOBER 2, 2024

However, scaling up generative AI and making adoption easier for different lines of businesses (LOBs) comes with challenges around making sure data privacy and security, legal, compliance, and operational complexities are governed on an organizational level. In this post, we discuss how to address these challenges holistically.

Government 124

Government APIs Enterprise Best practices 124

AWS Machine Learning

FEBRUARY 29, 2024

It allows you to seamlessly customize your RAG prompts and retrieval strategies—we provide the source attribution, and we handle memory management automatically. RAG is a popular technique that combines the use of private data with large language models (LLMs). Choose Next. Choose Next.

APIs 136

APIs Healthcare Scripts Enterprise 136

AWS Machine Learning

JUNE 19, 2024

The Slack application sends the event to Amazon API Gateway , which is used in the event subscription. API Gateway forwards the event to an AWS Lambda function. About the Authors Rushabh Lokhande is a Senior Data & ML Engineer with AWS Professional Services Analytics Practice.

APIs 103

APIs Engineering Accountability Big data 103

Natalie Petouhof

JULY 14, 2015

Tweet Managing your API’s has become a very complicated endeavor. If your role to is manage API’s it’s important to figure out how to automate that process. Reducing the effort required to manage API’s can be keep to using resources in other ways that are not as easily automated.

APIs 45

APIs Management Analytics Accountability 45

AWS Machine Learning

JUNE 30, 2022

You can access Amazon SageMaker Studio notebooks from the Amazon SageMaker console via AWS Identity and Access Management (IAM) authenticated federation from your identity provider (IdP), such as Okta. The corporate portal application makes a private API call using an API Gateway VPC endpoint to create a presigned URL.

APIs 96

APIs Enterprise Big data Accountability 96

AWS Machine Learning

JUNE 12, 2024

This solution uses an Amazon Cognito user pool as an OAuth-compatible identity provider (IdP), which is required in order to exchange a token with AWS IAM Identity Center and later on interact with the Amazon Q Business APIs. Amazon Q uses the chat_sync API to carry out the conversation. Enter an application name and description.

APIs 135

APIs Enterprise Accountability Feedback 135

AWS Machine Learning

JANUARY 4, 2024

NLP SQL enables business users to analyze data and get answers by typing or speaking questions in natural language, such as the following: “Show total sales for each product last month” “Which products generated more revenue?” In entered the Big Data space in 2013 and continues to explore that area. Arghya Banerjee is a Sr.

Best practices 139

Best practices Enterprise Engineering APIs 139

AWS Machine Learning

DECEMBER 1, 2022

In this post, we look at how to use Amazon SageMaker Role Manager to quickly build out a set of persona-based roles that can be further customized to your specific requirements in minutes, right on the Amazon SageMaker console. They’re permitted to manage models, endpoints, and pipelines, and audit resources. ML activities.

Management 93

Management Government Enterprise APIs 93

AWS Machine Learning

NOVEMBER 7, 2022

We explore two ways of obtaining the same result: via JumpStart’s graphical interface on Amazon SageMaker Studio , and programmatically through JumpStart APIs. If you want to jump straight into the JumpStart API code we go through in this post, you can refer to the following sample Jupyter notebook: Introduction to JumpStart – Text to Image.

APIs 105

APIs Scripts Enterprise Big data 105

AWS Machine Learning

MAY 8, 2023

With Amazon SageMaker , you can manage the whole end-to-end machine learning (ML) lifecycle. It offers many native capabilities to help manage ML workflows aspects, such as experiment tracking, and model governance via the model registry. Now let’s dive deeper into the details.

APIs 91

APIs Government Accountability Scripts 91

AWS Machine Learning

MARCH 7, 2023

This post presents and compares options and recommended practices on how to manage Python packages and virtual environments in Amazon SageMaker Studio notebooks. You can manage app images via the SageMaker console, the AWS SDK for Python (Boto3), and the AWS Command Line Interface (AWS CLI). Launch the custom image in Studio.

Management 94

Management Scripts Government Engineering 94

AWS Machine Learning

JUNE 19, 2023

When creating your SageMaker domain, you can choose to use either AWS IAM Identity Center (successor to AWS Single Sign-On) or AWS Identity and Access Management (IAM) for user authentication methods. If you are using self-managed AD, you may use AD Connector. The EventBridge rule triggers the target AWS Lambda function.

APIs 92

APIs Accountability Construction Enterprise 92

AWS Machine Learning

OCTOBER 14, 2024

Agents automatically call the necessary APIs to interact with the company systems and processes to fulfill the request. Verified Permissions is a scalable permissions management and authorization service for custom applications built by you. Claims API Gateway runs the Custom Authorizer to validate the access token.

APIs 91

APIs Construction Government Big data 91

AWS Machine Learning

DECEMBER 21, 2022

As feature data grows in size and complexity, data scientists need to be able to efficiently query these feature stores to extract datasets for experimentation, model training, and batch scoring. SageMaker Feature Store consists of an online and an offline mode for managing features.

Scripts 93

Scripts Engineering APIs Big data 93

AWS Machine Learning

NOVEMBER 3, 2022

AWS Glue is a part of the AWS Analytics services stack, and is a serverless data integration service that makes it easy to discover, prepare, and combine data for analytics, ML, and application development. Amazon Redshift is a fully managed, petabyte-scale data warehouse service in the cloud. Prerequisites.

Analytics 95

Analytics APIs Healthcare Big data 95

AWS Machine Learning

MARCH 22, 2023

An AWS account with permissions to create AWS Identity and Access Management (IAM) policies and roles. Access and permissions to configure IDP to register Data Wrangler application and set up the authorization server or API. For data scientist: An S3 bucket that Data Wrangler can use to output transformed data.

APIs 96

APIs Engineering Analytics Scripts 96

AWS Machine Learning

NOVEMBER 7, 2022

We explore two ways of obtaining the same result: via JumpStart’s graphical interface on Amazon SageMaker Studio , and programmatically through JumpStart APIs. The following sections provide a step-by-step demo to perform inference, both via the Studio UI and via JumpStart APIs. JumpStart overview. Solution overview.

APIs 101

APIs Scripts Enterprise Big data 101

AWS Machine Learning

SEPTEMBER 9, 2022

Collecting raw data for batch feature computing doesn’t have the sub-minute reflection time requirement PIT features have, which makes it feasible to buffer the events longer and transform metrics in batch. The underlying infrastructure for a Processing job is fully managed by SageMaker. Operational health.

Personalization 92

Personalization APIs Metrics Engineering 92

AWS Machine Learning

FEBRUARY 1, 2024

Because the interface between agents and tools is less formally defined than an API contract, you should monitor these traces not only for performance but also to capture new error scenarios. Randy has held a variety of positions in the technology space, ranging from software engineering to product management.

Best practices 136

Best practices Engineering SaaS Accountability 136

AWS Machine Learning

MARCH 23, 2023

Applications and services can call the deployed endpoint directly or through a deployed serverless Amazon API Gateway architecture. To learn more about real-time endpoint architectural best practices, refer to Creating a machine learning-powered REST API with Amazon API Gateway mapping templates and Amazon SageMaker.

Scripts 117

Scripts APIs Government Analytics 117

AWS Machine Learning

OCTOBER 27, 2022

They faced two challenges: how to reduce food waste, and how to manage forecast models for over 10,000 SKUs and thousands of stores efficiently and at scale. Advanced inventory forecasting using machine learning (ML) allows retail stores to maximize sales and minimize waste through more effective inventory management and turnover.

APIs 98

APIs Best practices Metrics Government 98

DMG Consulting

MAY 26, 2020

The greatest areas of investment in service organizations and contact centers are in AI, robotic process automation (RPA), big data and digital-oriented applications, all of which are delivered via the cloud. Adoption of cloud-based recording is starting to pick up momentum, as is analytics-enabled quality management (QM). .

Contact Center 96

Contact Center Analytics Consulting Consulting 96

AWS Machine Learning

DECEMBER 18, 2023

Industries such as Finance, Retail, Supply Chain Management, and Logistics face the risk of missed opportunities, increased costs, inefficient resource allocation, and the inability to meet customer expectations. In this post, we will explore the potential of using MongoDB’s time series data and SageMaker Canvas as a comprehensive solution.

Finance 122

Finance APIs Big data Analytics 122

AWS Machine Learning

JULY 15, 2024

Yaoqi Zhang is a Senior Big Data Engineer at Mission Cloud. Adrian Martin is a Big Data/Machine Learning Lead Engineer at Mission Cloud. Amazon Translate is a neural machine translation service that delivers fast, high-quality, and affordable language translation.

Engineering 122

Engineering Entertainment Big data APIs 122

AWS Machine Learning

JUNE 25, 2024

To access the new automatic dashboard from the AWS Management Console: Select Dashboards from the CloudWatch console, and select the Automatic Dashboards tab. About the authors Peter Geng is a Senior Product Manager with Amazon CloudWatch. Nikhil Kapoor is a Principal Product Manager with Amazon CloudWatch.

Metrics 120

Metrics APIs Government Big data 120

AWS Machine Learning

APRIL 24, 2023

Amazon Comprehend is a fully managed and continuously trained natural language processing (NLP) service that can extract insight about the content of a document or text. The steps are as follows: The client side calls Amazon API Gateway as the entry point to provide a client message as input. API Gateway bypasses the request to Lambda.

Customer Experience 78

Customer Experience APIs Feedback Chatbots 78

AWS Machine Learning

AUGUST 26, 2022

We explore two ways of obtaining the same result: via JumpStart’s graphical interface on Amazon SageMaker Studio , and programmatically through JumpStart APIs. The following sections provide a step-by-step demo to perform semantic segmentation with JumpStart, both via the Studio UI and via JumpStart APIs. Solution overview.

APIs 96

APIs Scripts Enterprise Big data 96

AWS Machine Learning

SEPTEMBER 9, 2022

Part 1 shows how data was collected and processed using the data and analytics platform, and Part 2 shows how the data was used to create show recommendations using Amazon SageMaker , a fully managed ML service. Streaming data ingestion, processing, transformation, and storage.

Analytics 89

Analytics Engineering Metrics APIs 89

Callminer

JULY 15, 2019

Join leading smart home service provider Vivint’s Ben Austin and Jacob Miller for an enlightening session on how they have designed and utilized automated speech analytics to extract KPI targeted scores and route those critical insights through an API to their own customized dashboard to track and coach on agent scoring/behaviors.

Telecommunications 28

Telecommunications Contact Center Analytics Employee engagement 28

AWS Machine Learning

JULY 19, 2022

To test the model output, we use a Jupyter notebook to run Python code to detect custom labels in a supplied image by calling Amazon Rekognition APIs. The solution workflow is as follows: Store satellite imagery data in Amazon S3 as the input source. Store satellite imagery data in Amazon S3 as an input source.

APIs 90

APIs Metrics Enterprise Marketing 90

AWS Machine Learning

JULY 29, 2022

Pre-trained models and fully managed NLP services have democratised access and adoption of NLP. Amazon Comprehend is a fully managed service that can perform NLP tasks like custom entity recognition, topic modelling, sentiment analysis and more to extract insights from data without the need of any prior ML experience.

Scripts 100

Scripts APIs Big data Engineering 100