AWS Machine Learning

AUGUST 27, 2024

Moreover, this capability prioritizes the connected Amazon Bedrock API source/primary region when possible, helping to minimize latency and improve responsiveness. Compatibility with existing Amazon Bedrock API No additional routing or data transfer cost and you pay the same price per token for models as in your source/primary region.

APIs 142

APIs Engineering Best practices Management 142

Nicereply

JUNE 24, 2021

It’s also possible to use the Nicereply API to build an entirely customized survey flow. CES is a somewhat unique metric because, to get the most out of it, both the distribution of scores and the average need to take to account. There are definitely Customer Effort Score detractors out there. Distribution, not just averages.

Customer effort 81

Customer effort Surveys Metrics Feedback 81

AWS Machine Learning

MARCH 26, 2024

One area that holds significant potential for improvement is accounts payable. On a high level, the accounts payable process includes receiving and scanning invoices, extraction of the relevant data from scanned invoices, validation, approval, and archival. It is available both as a synchronous or asynchronous API.

APIs 118

APIs Construction Analytics Enterprise 118

AWS Machine Learning

NOVEMBER 15, 2024

Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies like AI21 Labs, Anthropic, Cohere, Meta, Mistral AI, Stability AI, and Amazon through a single API, along with a broad set of capabilities to build generative AI applications with security, privacy, and responsible AI.

APIs 103

APIs Government Best practices Metrics 103

AWS Machine Learning

AUGUST 20, 2024

Configuring IP-restricted presigned URLs for SageMaker Ground Truth The new IP restriction feature for presigned URLs in SageMaker Ground Truth can be enabled through the SageMaker API or the AWS Command Line Interface (AWS CLI). You can also perform these operations through the SageMaker API using the AWS SDK.

APIs 113

APIs Engineering Accountability Management 113

AWS Machine Learning

NOVEMBER 20, 2024

Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies like AI21 Labs, Anthropic, Cohere, Meta, Mistral AI, Stability AI, and Amazon through a single API, along with a broad set of capabilities to build generative AI applications with security, privacy, and responsible AI.

Construction 117

Construction APIs Metrics Accountability 117

AWS Machine Learning

OCTOBER 2, 2024

In addition, they use the developer-provided instruction to create an orchestration plan and then carry out the plan by invoking company APIs and accessing knowledge bases using Retrieval Augmented Generation (RAG) to provide an answer to the user’s request. None What is the balance for the account 1234?

Best practices 99

Best practices APIs Metrics Accountability 99

AWS Machine Learning

NOVEMBER 17, 2023

In this post, we explain the common practice of live stream visual moderation with a solution that uses the Amazon Rekognition Image API to moderate live streams. You can deploy this solution to your AWS account using the AWS Cloud Development Kit (AWS CDK) package available in our GitHub repo.

APIs 115

APIs Engineering Advertising Accountability 115

AWS Machine Learning

JULY 10, 2024

You can use the Prompt Management and Flows features graphically on the Amazon Bedrock console or Amazon Bedrock Studio, or programmatically through the Amazon Bedrock SDK APIs. These approaches allow for the definition of more sophisticated logic and dynamic workflows, often called prompt flows.

Management 126

Management APIs Chatbots Best practices 126

CCNG

MAY 30, 2024

Forecasting Core Features The Ability to Consume Historical Data Whether it’s from a copy/paste of a spreadsheet or an API connection, your WFM platform must have the ability to consume historical data. Scheduling Core Features Matching Schedules to Forecasted Volume The common definition of WFM is “right people, right place, right time”.

Abandon rate 195

Abandon rate CCNG Average Handle Time Contact Center 195

AWS Machine Learning

OCTOBER 24, 2024

These agentic workflows decompose the natural language query-based tasks into multiple actionable steps with iterative feedback loops and self-reflection to produce the final result using tools and APIs. Create and associate an action group with an API schema and a Lambda function. More details can be found in the notebook ).

APIs 96

APIs Best practices Construction Engineering 96

AWS Machine Learning

MAY 30, 2024

The solution is available on the GitHub repository and can be deployed to your AWS account using an AWS Cloud Development Kit (AWS CDK) package. The frontend UI interacts with the extract microservice through a RESTful interface provided by Amazon API Gateway. Detect text using the Amazon Rekognition text detection API.

Advertising 135

Advertising APIs Education Analytics 135

Nexmo

NOVEMBER 10, 2020

Luckily for us, Vonage has a fantastic API for tracking phone calls ! We’ll use the Vonage API and build a.NET Core application that stores and displays this information by using event sourcing. Vonage API Account. To complete this tutorial, you will need a Vonage API account. Prerequisites. and Superuser.

APIs 139

APIs Accountability 139

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 83

APIs Government Accountability Scripts 83

AWS Machine Learning

MAY 1, 2024

For interacting with AWS services, the AWS Amplify JS library for React simplifies the authentication, security, and API requests. The backend uses several serverless and event-driven AWS services, including AWS Step Functions for low-code workflows, AWS AppSync for a GraphQL API, and Amazon Translate. 1 – Translating a document.

APIs 123

APIs Construction Best practices Technology 123

AWS Machine Learning

AUGUST 22, 2024

Because Amazon Bedrock can be accessed as an API, developers who don’t know Amazon SageMaker can implement an Amazon Bedrock application or fine-tune Amazon Bedrock by writing a regular Python program. If you’re new to AWS, you first need to create and set up an AWS account. Then you will set up SageMaker Studio in your AWS account.

APIs 121

APIs Engineering Accountability Construction 121

AWS Machine Learning

MARCH 15, 2023

The best practice for migration is to refactor these legacy codes using the Amazon SageMaker API or the SageMaker Python SDK. Step Functions is a serverless workflow service that can control SageMaker APIs directly through the use of the Amazon States Language. We do so using AWS SDK for Python (Boto3) CreateProcessingJob API calls.

Scripts 137

Scripts APIs Engineering Construction 137

AWS Machine Learning

NOVEMBER 22, 2023

Amazon Bedrock is a fully managed service that offers an easy-to-use API for accessing foundation models for text, image, and embedding. Amazon Location offers an API for maps, places, and routing with data provided by trusted third parties such as Esri, HERE, Grab, and OpenStreetMap. Point function requires importing shapely library.

APIs 120

APIs Scripts Engineering Accountability 120

AWS Machine Learning

NOVEMBER 17, 2022

Yara has built APIs using Amazon API Gateway to expose the sensor data to applications such as ELC. Extendibility – It can deploy to new Regions and accounts. SageMaker Model Monitor APIs offer data and model quality monitoring. ELC is a process optimization use case and is deployed to optimize workload accounts.

APIs 98

APIs Accountability Metrics Engineering 98

AWS Machine Learning

MARCH 12, 2024

The following are key concepts and prerequisites to use AWS Clean Rooms: Each party in the analysis (collaboration member) needs to have an AWS account. The collaboration creator uses the invitee’s AWS account ID as input to send invitations. Prerequisites To invite another person to a collaboration, you need their AWS account ID.

Advertising 126

Advertising Accountability APIs Best practices 126

AWS Machine Learning

AUGUST 26, 2024

Our field organization includes customer-facing teams (account managers, solutions architects, specialists) and internal support functions (sales operations). Personalized content will be generated at every step, and collaboration within account teams will be seamless with a complete, up-to-date view of the customer.

Sales 126

Sales Accountability Feedback Metrics 126

AWS Machine Learning

JANUARY 24, 2024

Building proofs of concept is relatively straightforward because cutting-edge foundation models are available from specialized providers through a simple API call. Cohere language models in Amazon Bedrock The Cohere Platform brings language models with state-of-the-art performance to enterprises and developers through a simple API call.

Enterprise 140

Enterprise APIs Advertising Technology 140

AWS Machine Learning

APRIL 18, 2024

Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies like AI21 Labs, Anthropic, Cohere, Meta, Stability AI, and Amazon with a single API, along with a broad set of capabilities to build generative AI applications with security, privacy, and responsible AI.

Scripts 129

Scripts Best practices Engineering Accountability 129

ClientSuccess

FEBRUARY 8, 2021

Over the past few years, customer success teams have migrated off sales-focused CRM and project management platforms to solutions that are custom built from the ground-up for customer success teams to better manage customer accounts. What kinds of API integrations do you provide to seamlessly connect with our other vendors? Learn more.

APIs 98

APIs outsourcing CRM Accountability 98

AWS Machine Learning

SEPTEMBER 14, 2023

It’s essential to start with a clear problem definition, clean and relevant data, and gradually work through the different stages of model development. We will introduce a custom classifier training pipeline that can be deployed in your AWS account with few clicks. politics, sports) that a document belongs to.

APIs 122

APIs Government Accountability Engineering 122

AWS Machine Learning

JULY 7, 2022

After you’ve initially configured the bot, you should test it internally and iterate on the bot definition. You can use APIs or AWS CloudFormation (see Creating Amazon Lex V2 resources with AWS CloudFormation ) to manage the bot programmatically. Amazon Lex offers this functionality via bot versioning.

Best practices 88

Best practices Metrics APIs Accountability 88

AWS Machine Learning

MAY 31, 2023

Triton with PyTorch backend The PyTorch backend is designed to run TorchScript models using the PyTorch C++ API. Prerequisites You first need an AWS account and an AWS Identity and Access Management (IAM) administrator user. For instructions on how to set up an AWS account, see How do I create and activate a new AWS account.

APIs 110

APIs Scripts Engineering Accountability 110

AWS Machine Learning

AUGUST 17, 2023

Also, this connector contains the functionality to automatically load feature definitions to help with creating feature groups. In the processing job API, provide this path to the parameter of submit_jars to the node of the Spark cluster that the processing job creates.

APIs 87

APIs Engineering Scripts Analytics 87

AWS Machine Learning

JANUARY 12, 2023

However, this can mean processing customer data in the form of personally identifiable information (PII) in relation to activities such as purchases, returns, use of flexible payment options, and account management. An additional bespoke PII type for customer account number was added through Amazon Comprehend, but has not been needed so far.

Engineering 131

Engineering APIs Accountability Metrics 131

AWS Machine Learning

OCTOBER 29, 2024

Financial services firms can accelerate workflows around loan applications, account openings, and regulatory reporting. This will trigger the AWS CloudFormation template in your AWS account. For manufacturers, this means streamlining processes like purchase order management, invoice processing, and supply chain documentation.

Finance 109

Finance Enterprise Healthcare Scripts 109

AWS Machine Learning

OCTOBER 26, 2023

Our AI-powered transaction pipeline automatically processes these videos and charges the customer’s account accordingly. Achieving this performance was easy with the built-in tools and APIs from the Neuron SDK. We used the torch.neuron.DataParallel() API. Preprocessed videos of these transactions are uploaded to the cloud.

APIs 126

APIs Technology Banking Customer centricity 126

Nexmo

DECEMBER 16, 2019

With the Nexmo Voice API , you can give your Internet-connected home devices a phone number and a voice. This application requires you to have the following: Nexmo Account. Sensibo API Account. You will need your API credentials from both Nexmo and Sensibo. API Credentials. Sensibo API Credentials.

APIs 83

APIs Accountability Construction Management 83

AWS Machine Learning

JUNE 24, 2022

We split the environment into multiple AWS accounts: Data lake – Stores all the ingested data from on premises (or other systems) to the cloud. The data is cataloged via the AWS Glue Data Catalog and shared with other users and accounts via AWS Lake Formation (the data governance layer).

Enterprise 118

Enterprise Engineering Accountability APIs 118

AWS Machine Learning

SEPTEMBER 16, 2022

For this walkthrough, you should have the following prerequisites: An AWS account. A Zendesk API client with the unique identifier amazon_kendra is registered to create an OAuth token for accessing your Zendesk domain from Amazon Kendra for crawling and indexing. Optionally, configure a new AWS secret for Zendesk API access.

APIs 94

APIs CRM Management Accountability 94

AWS Machine Learning

JUNE 15, 2022

In the subsequent sections, we use this example to demonstrate the use of hierarchical facets to narrow down search results along with step-by-step instructions you can follow to try this out in your own AWS account. In the navigation pane, choose Facet definition. Note the nested facets in the following definition.

APIs 83

APIs Scripts Technology Engineering 83

AWS Machine Learning

OCTOBER 22, 2024

Prerequisites To build this solution, you need the following prerequisites: An AWS account that will contain all your AWS resources. Download the pipeline definition as a JSON file to your local environment by choosing Export at the bottom of the visual editor. An AWS Identity and Access Management (IAM) role to access SageMaker.

Scripts 82

Scripts Engineering Construction APIs 82

AWS Machine Learning

NOVEMBER 21, 2024

The CreateAutoMLJobV2 API offers a low-level interface that allows for more control and customization. Using the SDK offers benefits like faster prototyping, better usability, and pre-built functions, and the API is better for advanced customizations. Create a SageMaker Studio environment.

Metrics 83

Metrics APIs Healthcare Scripts 83