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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.
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.
These sessions, featuring Amazon Q Business , Amazon Q Developer , Amazon Q in QuickSight , and Amazon Q Connect , span the AI/ML, DevOps and Developer Productivity, Analytics, and Business Applications topics. Learn how Toyota utilizes analytics to detect emerging themes and unlock insights used by leaders across the enterprise.
At Deutsche Bahn, a dedicated AI platform team manages and operates the SageMaker Studio platform, and multiple data analytics teams within the organization use the platform to develop, train, and run various analytics and ML activities.
Chatbot analytics tools can improve bots ability to handle more queries, freeing up agents to focus on more complex issues. Reporting and Analytics: Its all about visibility. You need comprehensive reporting and analytics to track performance and deliver predictive insights.
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 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.
Explore the must-have features of a CX platform, from interaction recording to AI-driven analytics. A customer journey or interaction analytics platform may collect and analyze aspects of customer interactions to offer insights on how to improve key service or sales metrics. The CX platform features you need to elevate experiences.
Deeper Speech Analytics and Sentiment Analysis Go beyond basic sentiment. GenAI-driven speech analytics and sentiment analysis can pinpoint turning points in conversations to fuel more targeted, effective training. Leverage API-driven solutions and cloud-based platforms to facilitate seamless data flow and interoperability.
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.
Check out the following demo to see how it works. For example, this could be a softphone (such as Google Voice ), another meeting app, or for demo purposes, you can simply play a local audio recording or a YouTube video in your browser to emulate another meeting participant. Choose Monitoring in the navigation pane to see API metrics.
Machine learning (ML) technologies continually improve and power the contact center customer experience by providing solutions for capabilities like self-service bots, live call analytics, and post-call analytics. For Event Source Suffix , enter a suffix (for example, genesys-eb-poc-demo ). Save your configuration. Choose Save.
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.
Another driver behind RAG’s popularity is its ease of implementation and the existence of mature vector search solutions, such as those offered by Amazon Kendra (see Amazon Kendra launches Retrieval API ) and Amazon OpenSearch Service (see k-Nearest Neighbor (k-NN) search in Amazon OpenSearch Service ), among others.
Alternatively, Azure Data Lake Storage provides a secure, cloud-based centralized repository designed to store massive volumes of structured and unstructured data thats easily accessible for analytics and model training. Book a demo today to see how to add powerful AI capabilities to Microsoft Teams and more.
Application Program Interface (API). Application Programming Interface (API) is a combination of various protocols, tools, and codes. The function of the API enables apps to communicate with each other. Timesheet provides analytical data for operators’ activities such as their login hours and active hours.
Qualtrics Qualtrics CustomerXM enables businesses to foster customer-centricity by leveraging customer feedback analytics for actionable insights. Reporting and Analytics: LiveAgent provides you with in-depth insights into customer interactions, contact center performance, and overall support operations to support effective decision-making.
Unlike the existing Amazon Textract console demos, which impose artificial limits on the number of documents, document size, and maximum allowed number of pages, the Bulk Document Uploader supports processing up to 150 documents per request and has the same document size and page limits as the Amazon Textract APIs.
Salesforce Data Cloud and Einstein Model Builder Salesforce Data Cloud is a data platform that unifies your company’s data, giving every team a 360-degree view of the customer to drive automation and analytics, personalize engagement, and power trusted AI. Follow the instructions to set up an IAM user and access keys.
AWS Glue is a serverless data integration service that makes it easy to discover, prepare, and combine data for analytics, ML, and application development. Deploy the CloudFormation template Complete the following steps to deploy the CloudFormation template: Save the CloudFormation template sm-redshift-demo-vpc-cfn-v1.yaml
We use Streamlit for the sample demo application UI. Solution overview To get responses streamed back from SageMaker, you can use our new InvokeEndpointWithResponseStream API. To take advantage of the new streaming API, you need to make sure the model container returns the streamed response as chunked encoded data.
Actionable Insights, Customer Journey Analytics, and Platform for Growth. Contact us for a demo to learn more about how Upstream Works enables effective omnichannel customer experience management that delivers real business value.
Ask about their API integrations API integrations are important when a call center looks for a CDP vendor because they allow businesses to connect their existing systems and tools to the CDP. The documentation should also include examples and use cases that demonstrate how the API can be used in real-world scenarios.
We have developed a MONAI Deploy connector to AHI to integrate medical imaging AI applications with subsecond image retrieval latencies at scale powered by cloud-native APIs. AHI provides API access to ImageSet metadata and ImageFrames. Metadata contains all DICOM attributes in a JSON document. We prepared a model_handler.py
Interact with several demos that feature new applications, including a competition that involves using generative AI tech to pilot a drone around an obstacle course. Learn how to utilize your datasets using Amazon SageMaker and Amazon Bedrock as well as popular frameworks like PyTorch with AWS compute, storage, and analytics.
Aspect Performance Management is just such a tool, and in Version 20 , we have tightly integrated our world-class speech analytics solution, Aspect Engagement Analytics, to enable balanced scorecards and other reports that aggregate quality metrics from 100% of customer interactions.
Some are to serve customers within a specific vertical, others provide agents with access to information, some help management with operations like workforce scheduling, and still others provide analytics and reports. Join our webinar and demo: Accelerate CX Innovation with Smart Integrations across the Enterprise.
You can get started without any prior machine learning (ML) experience, using APIs to easily build sophisticated personalization capabilities in a few clicks. You can use the Amazon Personalize console or API to create a filter with your logic using the Amazon Personalize DSL (domain-specific language). It only takes a few minutes.
It provides APIs powered by ML to extract key phrases, entities, sentiment analysis, and more. For this demo, you should have the following prerequisites: An AWS account. If you’re running this solution in us-east-2, the format of this REST API is [link].execute-api.us-east-2.amazonaws.com/prod/invokecomprehendV1. Prerequisites.
It also enables operational capabilities including automated testing, conversation analytics, monitoring and observability, and LLM hallucination prevention and detection. “We An optional CloudFormation stack to deploy a data pipeline to enable a conversation analytics dashboard. seconds or less. Do not specify an S3 prefix.
How do you use the analytics dashboard ? I use analytics to track our missed call percentages. How do you use analytics in your workflow? I use analytics to double-check that everything is integrating properly. We push data from our API into Periscope, and what happens then? Anything else? Mandatory tagging.
We provide a step-by-step guide to deploy your SageMaker trained model to Graviton-based instances, cover best practices when working with Graviton, discuss the price-performance benefits, and demo how to deploy a TensorFlow model on a SageMaker Graviton instance. He’s passionate about applying machine learning to the area of analytics.
In this case, it detects the DJL PyTorch engine implementation, which will act as the bridge between the DJL API and the PyTorch Native. Every operation in the DJL API is hand-crafted to best fit the Java conventions and make it easily accessible. Thirdly, there are improvements to demos and the extension for Spark.
Use the analytics tools to track how each email performs, and check out key performance indicators (KPIs), like open, click-through, and bounce rates. Integrate the landing page with Google Analytics to see how people interact with the content. It’s also possible to create segmented lists based on behavior and interests.
In this demo, an outbound call is made using the CreateSipMediaApplicationCall API. In this demo, the prompts are designed using Anthropic Claude Sonnet as the LLM. Prompt engineering for meeting invitation parsing Included in this demo is a React-based UI that will start the process of the SMA joining the meeting.
It offers an unending range of advantages as well as extensive reporting and analytics. . After selecting Shopify as your Target Cart from the menu, enter your store URL and API password into the blank spots. If you don’t know how to obtain an API password from your Shopify store, you can click here.
At Avaya, we have the ability to deliver across various verticals and provide the opportunity to implement smart buildings, allowing consumers to experience it live, not just as a demo or prototype. Meanwhile, the dispatch center can push video on how to perform CPR, for example.
Built on the Twilio's Programmable Voice and Messaging APIs, Twilio Flex provides full control over most aspects of your contact center. Xaqt's Cognitive Insights Platform for the Contact Center addresses this gap and provides call centers with a robust dashboard and analytics engine. Get a Demo. First Name. Company. *.
Upstream Works takes an integration approach to Customer Experience Management, leveraging our open APIs to connect and exchange information with best-of-breed providers, backend databases, legacy systems, and vertical specific applications – connecting anything and everything that makes up the whole of the customer experience.
These tools typically include features such as customer data management, analytics and reporting, automation, and personalization. Another customer reaches out to your sales team to get a demo. If integrations aren’t available or you can’t connect to the right systems via API, a specific CX platform might not be ideal for you.
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100+ Integrations and API access. Advanced analytics and call monitoring. Custom analytics. Access to API developer support. Here are a few features you can expect when you make the switch to Aircall: Call center analytics. Check out our developer portal for more info on our open API. . & Canada*.
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