AWS Machine Learning

APRIL 11, 2023

Enterprise customers have multiple lines of businesses (LOBs) and groups and teams within them. These customers need to balance governance, security, and compliance against the need for machine learning (ML) teams to quickly access their data science environments in a secure manner.

APIs 81

APIs Accountability Scripts Enterprise 81

AWS Machine Learning

OCTOBER 2, 2024

Large enterprises are building strategies to harness the power of generative AI across their organizations. This integration makes sure enterprises can take advantage of the full power of generative AI while adhering to best practices in operational excellence. What’s different about operating generative AI workloads and solutions?

Government 115

Government APIs Enterprise Best practices 115

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 108

Big data Engineering Accountability Real estate 108

AWS Machine Learning

AUGUST 13, 2024

Amazon Bedrock is a fully managed service that makes foundation models (FMs) from leading AI startups and Amazon available through an API, so you can choose from a wide range of FMs to find the model that is best suited for your use case. Lastly, the Lambda function stores the question list in Amazon S3.

Healthcare 126

Healthcare APIs Consulting Consulting 126

AWS Machine Learning

FEBRUARY 29, 2024

Knowledge Bases for Amazon Bedrock supports multiple vector databases, including Amazon OpenSearch Serverless , Amazon Aurora , Pinecone, and Redis Enterprise Cloud. For enterprise implementations, Knowledge Bases supports AWS Key Management Service (AWS KMS) encryption, AWS CloudTrail integration, and more.

APIs 131

APIs Healthcare Scripts Enterprise 131

AWS Machine Learning

JUNE 30, 2022

These traffic routing products generate their own source IP, whose IP range is not controlled by the enterprise customer. This makes it impossible for these enterprise customers to use the aws:sourceIp condition. The corporate portal application makes a private API call using an API Gateway VPC endpoint to create a presigned URL.

APIs 90

APIs Enterprise Big data Accountability 90

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 96

APIs Engineering Accountability Big data 96

AWS Machine Learning

JUNE 12, 2024

Amazon Q can help you get fast, relevant answers to pressing questions, solve problems, generate content, and take actions using the data and expertise found in your company’s information repositories and enterprise systems. Amazon Q uses the chat_sync API to carry out the conversation.

APIs 128

APIs Enterprise Accountability Feedback 128

AWS Machine Learning

AUGUST 2, 2023

An example of a customized image search is Enterprise Resource Planning (ERP). In ERP, image data collected from different stages of logistics or supply chain management could include tax receipts, vendor orders, payslips, and more, which need to be automatically categorized for the purview of different teams within the organization.

Enterprise 82

Enterprise Healthcare APIs Big data 82

AWS Machine Learning

NOVEMBER 17, 2023

Generative AI models have the potential to revolutionize enterprise operations, but businesses must carefully consider how to harness their power while overcoming challenges such as safeguarding data and ensuring the quality of AI-generated content. Babu Srinivasan is a Senior Partner Solutions Architect at MongoDB.

APIs 115

APIs Enterprise Big data Chatbots 115

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 98

APIs Scripts Enterprise Big data 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. The idea is to make systems interoperable through easy-to-use application programming interfaces (APIs).

Contact Center 96

Contact Center Analytics Consulting Consulting 96

Avaya

NOVEMBER 16, 2016

employees at large enterprises bring their own device(s) to work, and 75% of companies currently permit or plan to permit BYOD in the workplace. It may be easy to secure enterprise IoT, but this gets a lot trickier when you factor in the devices employees are using on your network.

APIs 72

APIs Transportation Enterprise Healthcare 72

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. The data scientist is now able to describe and monitor the test pipeline run status using SageMaker API calls from the dev account.

Accountability 93

Accountability APIs Management Engineering 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. The following sections provide a step-by-step demo to perform inference, both via the Studio UI and via JumpStart APIs. JumpStart overview. Text generation, GPT-2, and Bloom.

APIs 92

APIs Scripts Enterprise Big data 92

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. Adds an IAM authorizer.

APIs 81

APIs Government Accountability Scripts 81

AWS Machine Learning

JUNE 19, 2023

Sync your AD users and groups and memberships to AWS Identity Center: If you’re using an identity provider (IdP) that supports SCIM, use the SCIM API integration with IAM Identity Center. 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 82

APIs Accountability Construction Enterprise 82

AWS Machine Learning

MARCH 22, 2023

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. His knowledge ranges from application architecture to big data, analytics, and machine learning.

APIs 91

APIs Engineering Analytics Scripts 91

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 89

APIs Scripts Enterprise Big data 89

AWS Machine Learning

OCTOBER 14, 2024

Agents automatically call the necessary APIs to interact with the company systems and processes to fulfill the request. The App calls the Claims API Gateway API to run the claims proxy passing user requests and tokens. Claims API Gateway runs the Custom Authorizer to validate the access token.

APIs 83

APIs Construction Government Big data 83

DMG Consulting

DECEMBER 10, 2018

The “platform as a service” paradigm, which essentially leverages application programming interfaces (APIs) to build out functional capabilities, makes it easier to build your own solution (BYOS). For example, a customer does not want to wait while an agent/advisor types up their notes or copies and pastes data in multiple systems.

Contact Center 75

Contact Center contact center solutions CRM Enterprise 75

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. The following diagram illustrates this architecture.

Government 111

Government Accountability Enterprise Best practices 111

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 98

APIs Best practices Metrics Government 98

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 113

Scripts APIs Government Analytics 113

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 81

APIs Metrics Enterprise Marketing 81

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 88

Engineering Analytics APIs Enterprise 88

AWS Machine Learning

DECEMBER 21, 2022

SageMaker Feature Store automatically builds an AWS Glue Data Catalog during feature group creation. Customers can also access offline store data using a Spark runtime and perform big data processing for ML feature analysis and feature engineering use cases. Table formats provide a way to abstract data files as a table.

Scripts 84

Scripts Engineering APIs Big data 84

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 data scientist can review and approve the new version of the model independently.

Scripts 84

Scripts APIs Enterprise Accountability 84

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.

Customer Experience 70

Customer Experience APIs Feedback Chatbots 70

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. Now we’re ready to search our index.

Management 117

Management Enterprise Analytics Finance 117

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. You can set up continuous monitoring or scheduled monitors via SageMaker APIs, and edit the alert settings through the Model dashboard.

Government 91

Government Metrics APIs Engineering 91

AWS Machine Learning

AUGUST 8, 2024

They used the metadata layer (schema information) over their data lake consisting of views (tables) and models (relationships) from their data reporting tool, Looker , as the source of truth. Looker is an enterprise platform for BI and data applications that helps data analysts explore and share insights in real time.

Engineering 114

Engineering Accountability Feedback Construction 114

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 109

Management Best practices APIs Calibration 109

AWS Machine Learning

AUGUST 15, 2022

Document is a wrapper function used to help parse the JSON response from the API. It provides a high-level abstraction and makes the API output iterable and easy to get information out of. Anjan works with enterprise customers and is passionate about developing, deploying and explaining AI/ML, data analytics, and big data solutions.

Banking 85

Banking APIs Accountability Analytics 85

AWS Machine Learning

SEPTEMBER 9, 2022

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. To ensure we meet data compliance standards, we provision our AWS infrastructure in accordance with our athenahealth enterprise guidelines.

Engineering 87

Engineering Healthcare APIs Scripts 87

AWS Machine Learning

FEBRUARY 13, 2024

This new capability promotes collaboration and minimizes duplicate work for teams involved in ML model and application development, particularly in enterprise environments with multiple accounts spanning different business units or functions. With a strong foundation in both theory and practical applications, he holds a Ph.D.

Accountability 124

Accountability Government Engineering Scripts 124

AWS Machine Learning

OCTOBER 29, 2024

AWS CloudTrail is also essential for maintaining security and compliance in your AWS environment by providing a comprehensive log of all API calls and actions taken across your AWS account, enabling you to track changes, monitor user activities, and detect suspicious behavior. Enable CloudWatch cross-account observability.

Government 92

Government Metrics Accountability APIs 92