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. Using ngrok.

APIs 139

APIs Accountability 139

CCNG

JUNE 7, 2023

A recent search about how Chat GPT can and will assist in customer service, contact center and customer experience shows many ways ChatGPT can be a potentially valuable tool including: Answering Frequently Asked Questions (FAQs) : Chat GPT can handle repetitive and commonly asked questions by providing instant and accurate responses.

Contact Center 195

Contact Center CCNG APIs Scripts 195

AWS Machine Learning

OCTOBER 30, 2023

Amazon Bedrock is a fully managed service provided by AWS that offers developers access to foundation models (FMs) and the tools to customize them for specific applications. It allows developers to build and scale generative AI applications using FMs through an API, without managing infrastructure.

APIs 130

APIs Big data Accountability Enterprise 130

AWS Machine Learning

NOVEMBER 7, 2024

It also uses a number of other AWS services such as Amazon API Gateway , AWS Lambda , and Amazon SageMaker. API Gateway is serverless and hence automatically scales with traffic. API Gateway also provides a WebSocket API. Incoming requests to the gateway go through this point.

Enterprise 96

Enterprise APIs Government Accountability 96

AWS Machine Learning

DECEMBER 14, 2023

It provides access to the most comprehensive set of tools for each step of ML development, from preparing data to building, training, deploying, and managing ML models. After you stop the Space, you can modify its settings using either the UI or API via the updated SageMaker Studio interface and then restart the Space.

APIs 108

APIs Engineering Management Scripts 108

AWS Machine Learning

JULY 3, 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’s best suited for your use case. The deployment will output the API Gateway endpoint URL and an API key.

Personalization 122

Personalization APIs Management Accountability 122

AWS Machine Learning

MAY 15, 2024

The Amazon Bedrock API returns the output Q&A JSON file to the Lambda function. The container image sends the REST API request to Amazon API Gateway (using the GET method). API Gateway communicates with the TakeExamFn Lambda function as a proxy. The JSON file is returned to API Gateway.

Education 119

Education APIs Engineering Banking 119

AWS Machine Learning

FEBRUARY 29, 2024

With built-in security, cost-effectiveness, and a range of pre-built tools like Amazon SageMaker Autopilot , Amazon SageMaker JumpStart , and Amazon SageMaker Feature store , SageMaker Studio is a powerful platform for accelerating AI projects and empowering data scientists at every level of expertise.

APIs 108

APIs Construction Transportation Analytics 108

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 136

APIs Engineering Best practices Management 136

AWS Machine Learning

JULY 30, 2024

For example, it enables user subscription management across Amazon Q offerings and consolidates Amazon Q billing from across multiple AWS accounts. Additionally, Q Business conversation APIs employ a layer of privacy protection by leveraging trusted identity propagation enabled by IAM Identity Center. Finally, you have an OAuth 2.0

APIs 107

APIs Enterprise Accountability Management 107

AWS Machine Learning

FEBRUARY 8, 2024

Generative AI agents are a versatile and powerful tool for large enterprises. At the forefront of this evolution sits Amazon Bedrock , a fully managed service that makes high-performing foundation models (FMs) from Amazon and other leading AI companies available through an API.

APIs 127

APIs Scripts Enterprise Management 127

AWS Machine Learning

OCTOBER 21, 2024

Users rely on specialized tools for editing images. Amazon Bedrock is a fully managed service that makes 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’s best suited for your use case. Building a custom solution for this task can be complex.

APIs 81

APIs Enterprise Accountability Management 81

Nexmo

OCTOBER 7, 2020

Vonage API Account. To complete this tutorial, you will need a Vonage API account. Once you have an account, you can find your API Key and API Secret at the top of the Vonage API Dashboard. To get it working will require: A Vonage Developer account. A GitHub account.

APIs 118

APIs Scripts Accountability 118

AWS Machine Learning

MAY 30, 2024

AWS Prototyping successfully delivered a scalable prototype, which solved CBRE’s business problem with a high accuracy rate (over 95%) and supported reuse of embeddings for similar NLQs, and an API gateway for integration into CBRE’s dashboards. The following diagram illustrates the web interface and API management layer.

Real estate 114

Real estate APIs Metrics Construction 114

AWS Machine Learning

JULY 29, 2024

However, extracting valuable insights from the vast amount of data stored in Jira often requires manual efforts and building specialized tooling. You can authenticate Amazon Q Business to Jira using basic authentication with a Jira ID and Jira API token. For Jira ID , enter the user name for the API token. Choose Save.

Customer Support 109

Customer Support APIs Management Enterprise 109

ProProfs Blog

JUNE 26, 2020

Account Administrator. Account Administrator, also known as Admin, manages and configures the customer support software like live chat or help desk for its team members. Application Program Interface (API). Application Programming Interface (API) is a combination of various protocols, tools, and codes. Agent/User.

Customer Service 179

Customer Service APIs Customer Support Feedback 179

AWS Machine Learning

NOVEMBER 6, 2023

You can use the adapter for inference by passing the adapter identifier as an additional parameter to the Analyze Document Queries API request. Adapters can be created via the console or programmatically via the API. What is the account#? What is the account name/payer/drawer name? MICR line format). Who is the payee?

APIs 110

APIs Best practices Banking Accountability 110

AWS Machine Learning

NOVEMBER 13, 2024

The solution also uses Amazon Cognito user pools and identity pools for managing authentication and authorization of users, Amazon API Gateway REST APIs, AWS Lambda functions, and an Amazon Simple Storage Service (Amazon S3) bucket. To launch the solution in a different Region, change the aws_region parameter accordingly.

APIs 110

APIs Scripts Accountability Entertainment 110

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. Alternatively, you can use the CreateFlow API for a programmatic creation of flows that help you automate processes and development pipelines.

Management 110

Management APIs Chatbots Best practices 110

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 125

Advertising APIs Education Analytics 125

AWS Machine Learning

JULY 10, 2024

Essentially, fine-tuning Anthropic Claude 3 Haiku provides you with a versatile tool to customize Anthropic Claude, enabling you to meet specific performance and latency goals efficiently. Prerequisites To use this feature, make sure you have satisfied the following requirements: An active AWS account.

APIs 120

APIs Airlines Metrics Engineering 120

AWS Machine Learning

DECEMBER 29, 2022

Documents are a primary tool for record keeping, communication, collaboration, and transactions across many industries, including financial, medical, legal, and real estate. The Signatures feature is available as part of the AnalyzeDocument API. Learn more about how to use this feature in our documentation for the AnalyzeDocument API.

APIs 96

APIs Banking Real estate Healthcare 96

AWS Machine Learning

SEPTEMBER 25, 2024

Built on AWS technologies like AWS Lambda , Amazon API Gateway , and Amazon DynamoDB , this tool automates the creation of customizable templates and supports both text and image inputs. This sends the API request to Amazon Bedrock, which is hosting the Anthropic’s Claude 3 Sonnet language model.

APIs 80

APIs Wireless Accountability Technology 80

AWS Machine Learning

MAY 15, 2024

After the chosen model is ready to be moved into production, the model is deployed (step vi) using the team’s own in-house Model Lifecycle Manager tool. Under the hood, this tool uses artifacts generated by SageMaker (step vii) which is then deployed into the production AWS account (step viii), using SageMaker SDKs.

Advertising 112

Advertising APIs Engineering Benchmark 112

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 129

Enterprise APIs Advertising Technology 129

AWS Machine Learning

MARCH 15, 2023

Tens of thousands of AWS customers use AWS machine learning (ML) services to accelerate their ML development with fully managed infrastructure and tools. The best practice for migration is to refactor these legacy codes using the Amazon SageMaker API or the SageMaker Python SDK.

Scripts 124

Scripts APIs Engineering Construction 124

AWS Machine Learning

JULY 17, 2024

In this post, we’re using the APIs for AWS Support , AWS Trusted Advisor , and AWS Health to programmatically access the support datasets and use the Amazon Q Business native Amazon Simple Storage Service (Amazon S3) connector to index support data and provide a prebuilt chatbot web experience. Synchronize the data source to index the data.

Scripts 103

Scripts APIs Enterprise Accountability 103

AWS Machine Learning

NOVEMBER 1, 2024

Users can manage and use application inference profiles using Bedrock APIs or the boto3 SDK: CreateInferenceProfile : Initiates a new inference profile, allowing users to configure the parameters for the profile. ConverseStream API : Similar to the Converse API but supports streaming responses for real-time interactions.

APIs 121

APIs Management Accountability Metrics 121

AWS Machine Learning

NOVEMBER 15, 2024

At AWS, we help our customers transform responsible AI from theory into practice—by giving them the tools, guidance, and resources to get started with purpose-built services and features, such as Amazon Bedrock Guardrails. These dimensions make up the foundation for developing and deploying AI applications in a responsible and safe manner.

APIs 95

APIs Government Best practices Metrics 95

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. If you don’t have an AWS account, see How do I create and activate a new Amazon Web Services account? If you don’t have model permission, refer to Model access.

APIs 87

APIs Engineering Accountability Big data 87

AWS Machine Learning

MAY 31, 2024

Amazon Bedrock is a fully managed service that makes foundational models (FMs) from leading artificial intelligence (AI) companies and Amazon available through an API, so you can choose from a wide range of FMs to find the model that’s best suited for your use case. Model providers can’t access customer data in the deployment account.

Best practices 116

Best practices APIs Accountability Personalization 116

AWS Machine Learning

MAY 1, 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 through a single API, along with a broad set of capabilities to build generative AI applications with security, privacy, and responsible AI.

Chatbots 111

Chatbots APIs Engineering Automotive 111

AWS Machine Learning

NOVEMBER 7, 2023

Harnessing the generative capabilities of foundational models, this tool creates convincing and compliant pharmaceutical advertisements, ensuring content adheres to industry standards and regulations. Prerequisites You must have the following prerequisites: An AWS account. The AWS Command Line Interface (AWS CLI) v2.

Enterprise 103

Enterprise APIs Engineering Accountability 103

AWS Machine Learning

NOVEMBER 6, 2024

Enter Amazon Bedrock , a fully managed service that provides developers with seamless access to cutting-edge FMs through simple APIs. Solution overview Amazon Bedrock provides a simple and efficient way to use powerful FMs through APIs, without the need for training custom models. If you don’t have one, you can create a new account.

APIs 98

APIs Accountability Best practices Engineering 98

AWS Machine Learning

OCTOBER 31, 2023

Enterprise Resource Planning (ERP) systems are used by companies to manage several business functions such as accounting, sales or order management in one system. In particular, they are routinely used to store information related to customer accounts.

Healthcare 110

Healthcare APIs Engineering Accountability 110

AWS Machine Learning

JULY 29, 2024

In Part 1 and Part 2 , we show how Salesforce Data Cloud and Einstein Studio integration with SageMaker allows businesses to access their Salesforce data securely using SageMaker’s tools to build, train, and deploy models to endpoints hosted on SageMaker. For this post, we use the Anthropic Claude 3 Sonnet model.

APIs 104

APIs Accountability CRM Engineering 104

AWS Machine Learning

OCTOBER 26, 2022

This command-line tool allows developers to initialize and configure applications; package, build, and test locally; and deploy to the AWS Cloud. The application uses several AWS resources, including Lambda functions and an Amazon API Gateway API. For this walkthrough, you should have the following prerequisites: An AWS account.

APIs 114

APIs Accountability Technology Enterprise 114