AWS Machine Learning

APRIL 24, 2023

In this post, we explore how AWS customer Pro360 used the Amazon Comprehend custom classification API , which enables you to easily build custom text classification models using your business-specific labels without requiring you to learn machine learning (ML), to improve customer experience and reduce operational costs.

APIs 62

APIs Customer Experience Feedback Chatbots 62

AWS Machine Learning

JANUARY 26, 2024

In addition to awareness, your teams should take action to account for generative AI in governance, assurance, and compliance validation practices. You should begin by extending your existing security, assurance, compliance, and development programs to account for generative AI.

Best practices 123

Best practices Government Engineering Accountability 123

AWS Machine Learning

DECEMBER 21, 2022

The offline store data is stored in an Amazon Simple Storage Service (Amazon S3) bucket in your AWS account. SageMaker Feature Store automatically builds an AWS Glue Data Catalog during feature group creation. Table formats provide a way to abstract data files as a table. You can also use the FeatureGroup().put_record

Scripts 73

Scripts Engineering APIs Big data 73

AWS Machine Learning

OCTOBER 27, 2022

We can then call a Forecast API to create a dataset group and import data from the processed S3 bucket. We use the AutoPredictor API, which is also accessible through the Forecast console. Her current focus is on business transformation in retail and CPG through data and ML to fuel tremendous enterprise growth.

APIs 97

APIs Best practices Metrics Government 97

AWS Machine Learning

AUGUST 15, 2022

More specifically, we need to identify the customer’s savings and checking account numbers in the bank statement. The entities in this file are going to be specific to our business needs (savings and checking account numbers). Document is a wrapper function used to help parse the JSON response from the API. TDocumentSchema().load(response)

Banking 74

Banking APIs Accountability Analytics 74

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 95

Scripts APIs Government Analytics 95

Hodusoft

AUGUST 30, 2022

Businesses of every size, type, and industry can benefit from using cloud services for a variety of reasons such as: Data backup Software development and testing Email Disaster recovery Virtual desktops Big data analytics Customer-facing web applications, and more. The most popular cloud-based services: UCaaS, CCaas, and CPaaS.

APIs 52

APIs Interactive Voice Response Contact Center voip 52

AWS Machine Learning

JUNE 24, 2022

As enterprise businesses embrace machine learning (ML) across their organizations, manual workflows for building, training, and deploying ML models tend to become bottlenecks to innovation. Building an MLOps foundation that can cover the operations, people, and technology needs of enterprise customers is challenging.

Enterprise 90

Enterprise Engineering Accountability APIs 90

AWS Machine Learning

MAY 8, 2023

This can be a challenge for enterprises in regulated industries that need to keep strong model governance for audit purposes. How to expose the MLflow server via private integrations to an API Gateway, and implement a secure access control for programmatic access via the SDK and browser access via the MLflow UI.

APIs 71

APIs Government Accountability Scripts 71

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 80

APIs Engineering Analytics Scripts 80

AWS Machine Learning

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. Depending on your governance requirements, Data Science & Dev accounts can be merged into a single AWS account.

Government 91

Government Accountability Enterprise Engineering 91

AWS Machine Learning

AUGUST 29, 2023

Solution overview The following figure illustrates the proposed target MLOps architecture for enterprise batch inference for organizations who use GitLab CI/CD and Terraform infrastructure as code (IaC) in conjunction with AWS tools and services. The central model registry could optionally be placed in a shared services account as well.

Scripts 73

Scripts APIs Enterprise Accountability 73

AWS Machine Learning

JUNE 19, 2023

For provisioning Studio in your AWS account and Region, you first need to create an Amazon SageMaker domain—a construct that encapsulates your ML environment. When the AD user is assigned to an AD group, an IAM Identity Center API ( CreateGroupMembership ) is invoked, and SSO group membership is created.

APIs 71

APIs Accountability Construction Enterprise 71

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. To check, view the data sources and verify if the last sync was successful. Basic knowledge of AWS and working knowledge of AEM.

Management 96

Management Enterprise Analytics Finance 96

AWS Machine Learning

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. Depending on your governance requirements, Data Science & Dev accounts can be merged into a single AWS account.

Government 52

Government Accountability Enterprise Engineering 52

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. Semantic segmentation.

APIs 78

APIs Scripts Enterprise Big data 78

AWS Machine Learning

DECEMBER 1, 2022

As companies are increasingly adopting machine learning (ML) for their mainstream enterprise applications, more of their business decisions are influenced by ML models. The Model dashboard is a centralized repository of all models that have been created in the account. SageMaker Model Dashboard. Conclusion.

Government 78

Government Metrics APIs Engineering 78

AWS Machine Learning

APRIL 19, 2023

Solutions need high-throughput updates and low-latency retrieval of the most recent feature values in milliseconds, something most data scientists aren’t prepared to deliver. As a result, some enterprises have spent millions of dollars inventing their own proprietary infrastructure for feature management. Nov-01,22:05:05 4 200.00

Engineering 77

Engineering Analytics APIs Enterprise 77

AWS Machine Learning

DECEMBER 1, 2022

They have a wide variety of personas to account for, each with their own unique sets of needs, and building the right sets of permissions policies to meet those needs can sometimes be an inhibitor to agility. He is passionate about building governance products in Machine Learning for enterprise customers. Conclusion.

Management 73

Management Government Enterprise APIs 73

AWS Machine Learning

JULY 21, 2022

Compare and evaluate experiments – The integration of Experiments with Amazon SageMaker Studio makes it easy to produce data visualizations and compare different trials. You can also access the trial data via the Python SDK to generate your own visualization using your preferred plotting libraries. Suggested readings.

Metrics 78

Metrics Scripts Enterprise Telecommunications 78

AWS Machine Learning

SEPTEMBER 9, 2022

Access to AWS services from Katib and from pipeline pods using the AWS IAM Roles for Service Accounts (IRSA) integration with Kubeflow Profiles. Prior to our adoption of Kubeflow on AWS, our data scientists used a standardized set of tools and a process that allowed flexibility in the technology and workflow used to train a given model.

Engineering 76

Engineering Healthcare APIs Scripts 76

AWS Machine Learning

SEPTEMBER 21, 2022

Scaling ML effectively for the long term requires the professionalization of the industry and the democratization of ML literacy across the enterprise. Until recently, organizations hosting private AWS DeepRacer events had to create and assign AWS accounts to every event participant. The solution assumes access to an AWS account.

Accountability 62

Accountability APIs Enterprise Big data 62