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In this post, we guide you through integrating Amazon Bedrock Agents with enterprise data APIs to create more personalized and effective customer support experiences. An automotive retailer might use inventory management APIs to track stock levels and catalog APIs for vehicle compatibility and specifications.
The custom Google Chat app, configured for HTTP integration, sends an HTTP request to an API Gateway endpoint. Before processing the request, a Lambda authorizer function associated with the API Gateway authenticates the incoming message. The following figure illustrates the high-level design of the solution.
Note that these APIs use objects as namespaces, alleviating the need for explicit imports. API Gateway supports multiple mechanisms for controlling and managing access to an API. AWS Lambda handles the REST API integration, processing the requests and invoking the appropriate AWS services.
Traditional automation approaches require custom API integrations for each application, creating significant development overhead. In this post, we create a computer use agent demo that provides the critical orchestration layer that transforms computer use from a perception capability into actionable automation.
The Vonage Voice API WebSockets feature recently left Beta status and became generally available. 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.
The underlying platform that runs our Business Phone Plans , called Dash, includes an API that we use internally to pass information from one part of the system to another – such as when you transfer a call. VirtualPBX API: For Pros and Custom Solutions. We offer you our API in case you need it to bring your product to life.
This involves creating an OAuth API endpoint in ServiceNow and using the web experience URL from Amazon Q Business as the callback URL. The final step of the solution involves enhancing the application environment with a custom plugin for ServiceNow using APIs defined in an OpenAPI schema.
In this walkthrough, we are going to create a Ruby on Rails conference call application that utilizes the Nexmo Voice API. We are going to accomplish the following tasks to create a conference call (“conversation”) with the Nexmo Voice API: Create a Rails application. Nexmo Voice API Overview. Prerequisites.
In this walkthrough, we are going to create a Ruby on Rails conference call application that utilizes the Nexmo Voice API. We are going to accomplish the following tasks to create a conference call (“conversation”) with the Nexmo Voice API: Create a Rails application. Nexmo Voice API Overview. Prerequisites.
During these live events, F1 IT engineers must triage critical issues across its services, such as network degradation to one of its APIs. This impacts downstream services that consume data from the API, including products such as F1 TV, which offer live and on-demand coverage of every race as well as real-time telemetry.
In the post Secure Amazon SageMaker Studio presigned URLs Part 2: Private API with JWT authentication , we demonstrated how to build a private API to generate Amazon SageMaker Studio presigned URLs that are only accessible by an authenticated end-user within the corporate network from a single account.
So, in this walkthrough, we are going to recreate the game of telephone utilizing Ruby on Rails, the Nexmo Voice API, and Google Cloud Platform Speech to Text and Translate APIs. We will discuss adding it, along with your Nexmo API credentials, as environment variables in just a bit. Adding our API credentials.
So, in this walkthrough, we are going to recreate the game of telephone utilizing Ruby on Rails, the Nexmo Voice API, and Google Cloud Platform Speech to Text and Translate APIs. We will discuss adding it, along with your Nexmo API credentials, as environment variables in just a bit. Adding our API credentials.
Consider the number of critical APIs that are embedded. Double the APIs – quadruple your problems! Leslie Cottenje notes that it is important to question: how real is the demo? Demo environments are at risk of being engineered to appear perfect. Does the vendor have a proven track record with your legacy systems?
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. We’re just building a demo application.
The Streamlit web application calls an Amazon API Gateway REST API endpoint integrated with the Amazon Rekognition DetectLabels API , which detects labels for each image. Constructs a request payload for the Amazon Bedrock InvokeModel API. Invokes the Amazon Bedrock InvokeModel API action.
Your data remains in the AWS Region where the API call is processed. To demonstrate how generative AI can accelerate AWS Well-Architected reviews, we have developed a Streamlit-based demo web application that serves as the front-end interface for initiating and managing the WAFR review process.
As attendees circulate through the GAIZ, subject matter experts and Generative AI Innovation Center strategists will be on-hand to share insights, answer questions, present customer stories from an extensive catalog of reference demos, and provide personalized guidance for moving generative AI applications into production.
Today, we are excited to unveil three generative AI demos, licensed under MIT-0 license : Amazon Kendra with foundational LLM – Utilizes the deep search capabilities of Amazon Kendra combined with the expansive knowledge of LLMs. Having the right setup in place is the first step towards a seamless deployment of the demos.
Programmatic setup Alternatively, you can create your labeling job programmatically using the CreateLabelingJob API. Whether you choose the SageMaker console or API approach, the result is the same: a fully configured labeling job ready for your annotation team.
The GenASL web app invokes the backend services by sending the S3 object key in the payload to an API hosted on Amazon API Gateway. API Gateway instantiates an AWS Step Functions The state machine orchestrates the AI/ML services Amazon Transcribe and Amazon Bedrock and the NoSQL data store Amazon DynamoDB using AWS Lambda functions.
Share This Story During their annual F8 Refresh conference, Facebook announced the Messenger API for Instagram has exited beta and is now available to all businesses looking to forge deeper relationships with their customers through scalable, 1:1 conversations. The API is open to all businesses. Request a demo. Common Uses.
In this demo you will be building an extremely simple, yet powerful, real-time transcription service in ASP.NET using Nexmo’s.NET SDK and Microsoft Azure’s Speech SDK. The region in the demo is eastus – derived from the region you configured your speech service for. Prerequisites. Visual Studio 2019 version 16.3
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.
Amazon Rekognition includes a simple, easy-to-use API that can quickly analyze any image or video file that’s stored in Amazon Simple Storage Service (Amazon S3). The following table shows the moderation labels, content type, and confidence scores returned in the API response. Graphic Violence L2 92.6% Explosions and Blasts L3 92.6%
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.
API and Integrations: WFO solutions arent the only thing your contact center software should connect with. Open APIs and integrations with other business systems (CRM, marketing automation, HR and back office systems, etc.) Genesys Cloud is known for its open API and extensive customization options.
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 unified API, along with a broad set of capabilities to build generative AI applications with security, privacy, and responsible AI.
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. Amazon Q uses the chat_sync API to carry out the conversation.
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. The following demo recording highlights Agents and Knowledge Bases for Amazon Bedrock functionality and technical implementation details.
You can build your own IVR using Ruby on Rails and the Nexmo Voice API. You can do so on your command line with the following: $ rails new nexmo-rails-ivr-demo --skip-activerecord. The above command will create our Rails app in /nexmo-rails-ivr-demo , and will also skip installing a database. to_json end end. to_json end.
You can build your own IVR using Ruby on Rails and the Nexmo Voice API. You can do so on your command line with the following: $ rails new nexmo-rails-ivr-demo --skip-activerecord. The above command will create our Rails app in /nexmo-rails-ivr-demo , and will also skip installing a database. to_json end end. to_json end.
Large language model (LLM) agents are programs that extend the capabilities of standalone LLMs with 1) access to external tools (APIs, functions, webhooks, plugins, and so on), and 2) the ability to plan and execute tasks in a self-directed fashion. Note that the next action may or may not involve using a tool or API.
That is why Pipkins chooses to go the extra mile by providing tailored product demos for each of our prospective clients. To sort this structure, Pipkins breaks down demos into three types: Introduction. Step One: Pipkins WFM Introduction Demo. Step Two: Workforce Management Focused Demo. Request A Pipkins Demo Today.
The Retrieve and RetrieveAndGenerate APIs allow your applications to directly query the index using a unified and standard syntax without having to learn separate APIs for each different vector database, reducing the need to write custom index queries against your vector store.
You can create your own voicemail application powered by the Nexmo Voice API and Ruby on Rails. From your command line execute the following: $ rails new nexmo-rails-voicemail-demo --database=postgresql. You also installed the dotenv-rails gem that will assist us when we add our Nexmo API credentials as environment variables.
You can create your own voicemail application powered by the Nexmo Voice API and Ruby on Rails. From your command line execute the following: $ rails new nexmo-rails-voicemail-demo --database=postgresql. You also installed the dotenv-rails gem that will assist us when we add our Nexmo API credentials as environment variables.
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. There are charges for Amazon S3 storage, Amazon S3 API calls that Amazon IVS makes on behalf of the customer, and serving the stored video to viewers.
A Rich Set of APIs for External Integration with CRM Systems and Enterprise Data Sources. A SaaS (Software as a Service), open architecture with robust APIs ensures organizations can unite systems and operations across the enterprise that impact the customer experience.
Solution overview When starting with a new use case, you can evaluate how Textract Queries performs on your documents by navigating to the Textract console and using the Analyze Document Demo or Bulk Document Uploader. Adapters can be created via the console or programmatically via the API. MICR line format).
Aggregate the data retrieved from Elasticsearch and form the prompt for the generative AI Amazon Bedrock API call. The API call to Amazon Bedrock doesn’t contain any personally identifiable information (PII) or any data that could identify a customer. Check out the BMC website to learn more and set up a demo.
The web application interacts with the models via Amazon API Gateway and AWS Lambda functions as shown in the following diagram. API Gateway provides the web application and other clients a standard RESTful interface, while shielding the Lambda functions that interface with the model. Clone and set up the AWS CDK application.
They enable applications requiring very low latency or local data processing using familiar APIs and tool sets. Prerequisites To run this demo, complete the following prerequisites: Create an AWS account , if you dont already have one. Enable the Local Zones in Los Angeles and Honolulu in the parent Region US West (Oregon).
Our innovative customers can now leverage Google with the help of our Prophecy media browser the Google STT (automatic speech recognition tool) and text-to-speech APIs. If you’d like to learn more about Aspect CXP 20 or view a demo , we’d love to talk! Aspect CXP is well equipped to assist organizations adapt to these new challenges.
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