AWS Machine Learning

OCTOBER 30, 2023

It allows developers to build and scale generative AI applications using FMs through an API, without managing infrastructure. Customers are building innovative generative AI applications using Amazon Bedrock APIs using their own proprietary data.

APIs 142

APIs Big data Accountability Enterprise 142

AWS Machine Learning

FEBRUARY 10, 2025

They provide access to external data and APIs or enable specific actions and computation. For more information about how to work with RDC and AWS and to understand how were supporting banking customers around the world to use AI in credit decisions, contact your AWS Account Manager or visit Rich Data Co.

Chief Customer Officer 110

Chief Customer Officer Banking SaaS Engineering 110

AWS Machine Learning

JUNE 19, 2024

In this post, we show you how to unlock new levels of efficiency and creativity by bringing the power of generative AI directly into your Slack workspace using Amazon Bedrock. We show how to create a Slack application, configure the necessary permissions, and deploy the required resources using AWS CloudFormation.

APIs 107

APIs Engineering Accountability Big data 107

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 118

Big data Engineering Accountability Real estate 118

AWS Machine Learning

FEBRUARY 29, 2024

RAG starts with an initial step to retrieve relevant documents from a data store (most commonly a vector index) based on the user’s query. In this post, we demonstrate how to build a RAG workflow using Knowledge Bases for Amazon Bedrock for a drug discovery use case. When the sync is complete, the Sync history shows status Completed.

APIs 137

APIs Healthcare Scripts Enterprise 137

AWS Machine Learning

JUNE 12, 2024

This post demonstrates how to build a custom UI for Amazon Q Business. 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.

APIs 138

APIs Enterprise Accountability Feedback 138

Avaya

NOVEMBER 16, 2016

Having said that, here are three massive IoT security threats we’re seeing today (and how to expertly address them): Personally-owned devices: Research shows that about 40% of U.S. Open APIs: An open API model is advantageous in that it allows developers outside of companies to easily access and use APIs to create breakthrough innovations.

APIs 72

APIs Transportation Enterprise Big data 72

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 130

Government APIs Enterprise Best practices 130

AWS Machine Learning

MAY 8, 2023

In this post, we address these limitations by implementing the access control outside of the MLflow server and offloading authentication and authorization tasks to Amazon API Gateway , where we implement fine-grained access control mechanisms at the resource level using Identity and Access Management (IAM).

APIs 97

APIs Government Accountability Scripts 97

AWS Machine Learning

JUNE 30, 2022

In this part, we discuss the overarching architecture for securing studio pre-signed url and demonstrate how to set up the foundational infrastructure to create and launch a Studio presigned URL through your VPC endpoint over a private network without traversing the internet. Optionally, it looks up a private hosted zone record if it exists.

APIs 98

APIs Enterprise Big data Accountability 98

AWS Machine Learning

NOVEMBER 7, 2022

In the first post , we showed how you can run image classification use cases on JumpStart. In the second post , we demonstrated how to run text classification use cases. In the fourth post , we showed how you can run text generation use cases. The model page contains valuable information about the model and how to use it.

APIs 109

APIs Scripts Enterprise Big data 109

AWS Machine Learning

NOVEMBER 7, 2022

In the first post , we showed how to run image classification use cases on JumpStart. In the second post , we demonstrated how to run text classification use cases. In this post, we provide a step-by-step walkthrough on how to deploy pre-trained text generation models. In the third post , we ran image segmentation use cases.

APIs 110

APIs Scripts Enterprise Big data 110

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 100

APIs Accountability Construction Enterprise 100

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 98

Accountability APIs Management Engineering 98

AWS Machine Learning

MARCH 23, 2023

Data using FHE is larger in size, so testing must be done for applications that need the inference to be performed in near-real time or with size limitations. In this post, we show how to activate privacy-preserving ML predictions for the most highly regulated environments. The following figure shows both versions of these patterns.

Scripts 118

Scripts APIs Government Analytics 118

AWS Machine Learning

NOVEMBER 3, 2022

In Part 1 of this series, we discussed intelligent document processing (IDP), and how IDP can accelerate claims processing use cases in the insurance industry. We discussed how we can use AWS AI services to accurately categorize claims documents along with supporting documents. Extraction phase. client('comprehend').

Analytics 98

Analytics APIs Healthcare Big data 98

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. To update all objects follow the instructions. Delete the Lambda function.

APIs 130

APIs Enterprise Big data Chatbots 130

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. Today 3scale and Pivotal ® announced that the 3scale self-serve API management solution is available through the Pivotal Web Services (PWS) platform.

APIs 45

APIs Management Analytics Accountability 45

AWS Machine Learning

OCTOBER 14, 2024

Agents automatically call the necessary APIs to interact with the company systems and processes to fulfill the request. We also show how to restrict permissions using custom attributes such as a user’s region for filtering insurance claims. Claims API Gateway runs the Custom Authorizer to validate the access token.

APIs 97

APIs Construction Government Big data 97

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?” These act like instructions that tell the model how to format the SQL output. Arghya Banerjee is a Sr.

Best practices 140

Best practices Enterprise Engineering APIs 140

AWS Machine Learning

JUNE 25, 2024

In this section, you’ll learn how to create a custom dashboard using an example RAG based architecture that utilizes Amazon Bedrock. With over 35 patents granted across various technology domains, she has a passion for continuous innovation and using data to drive business outcomes.

Metrics 122

Metrics Government APIs Big data 122

AWS Machine Learning

DECEMBER 21, 2022

By the end of this post, you will know how to create feature groups using the Iceberg format, execute Iceberg’s table management procedures using Amazon Athena , and schedule these tasks to run autonomously. SageMaker Feature Store automatically builds an AWS Glue Data Catalog during feature group creation.

Scripts 98

Scripts Engineering APIs Big data 98

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 90

Customer Experience APIs Feedback Chatbots 90

AWS Machine Learning

JULY 29, 2022

One of the most common real-world challenges in setting up user access for Studio is how to manage multiple users, groups, and data science teams for data access and resource isolation. The solution outlines how to use a custom SAML 2.0 The API Gateway calls an SAML backend API. authorization process.

Management 101

Management APIs Accountability Construction 101

AWS Machine Learning

AUGUST 26, 2022

In this post, we provide a step-by-step walkthrough on how to fine-tune and deploy an image segmentation model, using trained models from MXNet. We explore two ways of obtaining the same result: via JumpStart’s graphical interface on Amazon SageMaker Studio , and programmatically through JumpStart APIs. Solution overview.

APIs 98

APIs Scripts Enterprise Big data 98

AWS Machine Learning

JULY 15, 2024

In the following sections, you will learn how to use the unique features of Amazon Translate for setting formality tone and for custom terminology. You will also learn how to use Amazon Bedrock to further improve the quality of video dubbing. Yaoqi Zhang is a Senior Big Data Engineer at Mission Cloud.

Engineering 126

Engineering Entertainment Big data Benchmark 126

AWS Machine Learning

MARCH 22, 2023

In this post, we show how to configure a new OAuth-based authentication feature for using Snowflake in Amazon SageMaker Data Wrangler. Snowflake is a cloud data platform that provides data solutions for data warehousing to data science. Specify the lifetime of the access token.

APIs 98

APIs Engineering Analytics Scripts 98

AWS Machine Learning

JULY 24, 2023

They use big data (such as a history of past search queries) to provide many powerful yet easy-to-use patent tools. In this section, we show how to build your own container, deploy your own GPT-2 model, and test with the SageMaker endpoint API. implement the model and the inference API. gpt2 and predictor.py

APIs 96

APIs Engineering Construction Benchmark 96

AWS Machine Learning

NOVEMBER 24, 2023

This emergent ability in LLMs has compelled software developers to use LLMs as an automation and UX enhancement tool that transforms natural language to a domain-specific language (DSL): system instructions, API requests, code artifacts, and more.

APIs 116

APIs Engineering SaaS Enterprise 116

AWS Machine Learning

JULY 19, 2022

In this post, we show how to label, train, and build a computer vision model to detect rooftops and solar panels from satellite images. 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. On the model page, choose API Code.

APIs 97

APIs Metrics Enterprise Marketing 97

Balto

JANUARY 14, 2025

But modern analytics goes beyond basic metricsit leverages technologies like call center data science, machine learning models, and big data to provide deeper insights. Predictive Analytics: Uses historical data to forecast future events like call volumes or customer churn. What is contact center big data analytics?

Call Center 52

Call Center Analytics Average Handle Time Big data 52

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. We can then call a Forecast API to create a dataset group and import data from the processed S3 bucket. Summary and next steps. About the Authors.

APIs 98

APIs Best practices Metrics Government 98

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. Conclusion This post described how to take resilience into account when building generative AI solutions.

Best practices 137

Best practices Engineering SaaS Accountability 137

AWS Machine Learning

JUNE 3, 2024

seek_help Does your employer provide resources to learn more about mental health issues and how to seek help? leave How easy is it for you to take medical leave for a mental health condition? You can change the configuration later from the SageMaker Canvas UI or using SageMaker APIs. Set Instance count to 1. Choose Deploy.

Surveys 126

Surveys Metrics Analytics Engineering 126

AWS Machine Learning

APRIL 19, 2023

This example notebook demonstrates the pattern of using Feature Store as a central repository from which data scientists can extract training datasets. In addition to creating a training dataset, we use the PutRecord API to put the 1-week feature aggregations into the online feature store nightly. Nov-01,22:01:00 1 74.99 …9843 99.50

Engineering 98

Engineering Analytics APIs Enterprise 98

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

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 120

Management Best practices Calibration APIs 120