AWS Machine Learning

OCTOBER 18, 2023

The solution uses the following services: Amazon API Gateway is a fully managed service that makes it easy for developers to publish, maintain, monitor, and secure APIs at any scale. Purina’s solution is deployed as an API Gateway HTTP endpoint, which routes the requests to obtain pet attributes.

APIs 100

APIs Metrics Consulting Consulting 100

AWS Machine Learning

NOVEMBER 22, 2023

You can save time, money, and labor by implementing classifications in your workflow, and documents go to downstream applications and APIs based on document type. This helps you avoid throttling limits on API calls due to polling the Get* APIs. The metrics should include business metrics and technical metrics.

APIs 99

APIs Metrics Enterprise Benchmark 99

AWS Machine Learning

FEBRUARY 7, 2024

Deploy the API to make predictions. Review the Model performance overall score and all other metrics that Amazon Fraud Detector generated for this model. The steps to deploy this component are as follows: Upload historical data to Amazon Simple Storage Service (Amazon S3). Select your options and train the model. Create the model.

APIs 113

APIs Accountability Metrics Engineering 113

Expivia

FEBRUARY 15, 2024

New Supervisor Experience and Dashboard Enhancements: The transition to a new Supervisor interface and the introduction of dashboard enhancements reflect NICE CXone’s commitment to providing more intuitive and rich insights into performance metrics.

Virtual Agent 75

Virtual Agent APIs Analytics Chatbots 75

AWS Machine Learning

JANUARY 5, 2024

Query training results: This step calls the Lambda function to fetch the metrics of the completed training job from the earlier model training step. RMSE threshold: This step verifies the trained model metric (RMSE) against a defined threshold to decide whether to proceed towards endpoint deployment or reject this model.

Management 116

Management APIs Engineering Government 116

AWS Machine Learning

MAY 5, 2023

By uploading a small set of training images, Amazon Rekognition automatically loads and inspects the training data, selects the right ML algorithms, trains a model, and provides model performance metrics. For more details on the different metrics such as precision, recall, and F1, refer to Metrics for evaluation your model.

Engineering 101

Engineering APIs Scripts Enterprise 101

AWS Machine Learning

NOVEMBER 17, 2022

Their production segment is therefore an integral building block for delivering on their mission—with a clearly stated ambition to become world-leading on metrics such as safety, environmental footprint, quality, and production costs. Yara has built APIs using Amazon API Gateway to expose the sensor data to applications such as ELC.

APIs 95

APIs Accountability Metrics Engineering 95

AWS Machine Learning

DECEMBER 1, 2022

You can then compare the performance of the two versions using metrics such as latency and error rate. Optionally, you can monitor the variants through a built-in dashboard with a side-by-side comparison of the performance metrics. Please refer to the CreateModel API here. Pre-requisites. Step 1 – Create a shadow test.

APIs 84

APIs Metrics Management Engineering 84

Spearline

JULY 21, 2022

Consequently, no other testing solution can provide the range and depth of testing metrics and analytics. And testingRTC offers multiple ways to export these metrics, from direct collection from webhooks, to downloading results in CSV format using the REST API. Happy days! You can check framerate information for video here too.

Scripts 98

Scripts APIs Metrics Analytics 98

AWS Machine Learning

MARCH 1, 2023

Based on the quality metrics for the existing and new model versions, you set the active model version to be the version of the flywheel model that you want to use for inference jobs. F1-score is an important evaluation metric in machine learning. For more information, refer to Getting started with Amazon Comprehend.

APIs 73

APIs Metrics Accountability Scripts 73

AWS Machine Learning

APRIL 18, 2024

When the user is authenticated, the web application establishes a secure GraphQL connection to the AWS AppSync API, and subscribes to receive real-time events such as new calls and call status changes for the meetings list page, and new or updated transcription segments and computed analytics for the meeting details page.

APIs 70

APIs Accountability Analytics Entertainment 70

AWS Machine Learning

OCTOBER 24, 2023

T-Mobile has partnered with AWS to analyze the key application metrics of this service, such as language distribution, the number of messages per language, the daily total and unique active customers, and so on. This data helped in scaling the service and making key business decisions to improve the Voicemail to Text customer experience.

APIs 96

APIs Engineering Metrics Technology 96

AWS Machine Learning

APRIL 17, 2023

To help you build the right expectation of model performance, besides model AUC, Amazon Fraud Detector also reports uncertainty range metrics. The following table defines these metrics. To update the event label call the update_event_label API: import boto3 def update_event_label(event, context): fraudDetector = boto3.client('frauddetector')

APIs 77

APIs Government Metrics Engineering 77

AWS Machine Learning

AUGUST 30, 2023

For a quantitative analysis of the generated impression, we use ROUGE (Recall-Oriented Understudy for Gisting Evaluation), the most commonly used metric for evaluating summarization. This metric compares an automatically produced summary against a reference or a set of references (human-produced) summary or translation.

Healthcare 117

Healthcare APIs Scripts Metrics 117

AWS Machine Learning

OCTOBER 10, 2022

To begin performing real-time predictions, you integrate Amazon Fraud Detector’s low-latency prediction API into your application and begin sending new mobile events to generate fraud predictions. This result is sent back to your mobile app via API Gateway. Collects the risk profile from the GD API.

APIs 75

APIs Accountability Metrics Government 75

AWS Machine Learning

DECEMBER 12, 2022

Amazon Comprehend provides customized features, custom entity recognition , custom classification , and pre-trained APIs such as key phrase extraction, sentiment analysis, entity recognition, and more so you can easily integrate NLP into your applications. You can use the API operations discussed in this notebook in your own applications.

APIs 81

APIs Accountability Enterprise Metrics 81

AWS Machine Learning

NOVEMBER 22, 2023

All of the AWS AI services (for example, Amazon Textract , Amazon Comprehend , or Amazon Comprehend Medical ) used in IDP solutions are fully managed AI services where AWS secures their physical infrastructure, API endpoints, OS, and application code, and handles service resilience and failover within a given region.

APIs 88

APIs Accountability Enterprise Transportation 88

AWS Machine Learning

NOVEMBER 17, 2022

Beyond model accuracy, other potential metrics of importance are model training time and inference time. JumpStart APIs allow you to programmatically deploy and fine-tune a vast selection of JumpStart-supported pre-trained models on your own datasets. Several considerations can play a role when evaluating an ML model.

APIs 85

APIs Scripts Metrics 85

Nicereply

JANUARY 30, 2023

This can include anything from knowing how many people you need to hire and knowing exactly what metrics you need to hit, to determining if there are new tools that you’ll need to use in order to a ccomplish your goals. If so, what are some levers you might be able to pull to shift that metric, too?

Metrics 98

Metrics Finance APIs Customer Support 98

AWS Machine Learning

SEPTEMBER 9, 2022

The platform has shown a 3% boost to customer engagement metrics tracked (liking a show, following a creator, enabling upcoming show notifications) since its launch in May 2022. The independent nature of each individual metric transformation also makes Lambda, which is a stateless service on its own, a good fit for this problem.

Personalization 78

Personalization APIs Engineering Metrics 78

VirtualPBX

NOVEMBER 8, 2023

Ceras Health leverages VirtualPBX’s call queues, voicemail, API integration, softphone apps, and performance metrics tracking to streamline communication across the organization. VirtualPBX, with its cloud-based solution and 99.999% reliability, became its trusted partner.

Healthcare 98

Healthcare APIs Customer centricity Accountability 98

AWS Machine Learning

NOVEMBER 3, 2022

In Part 1, we saw how to use Amazon Textract APIs to extract information like forms and tables from documents, and how to analyze invoices and identity documents. Extract default entities with the Amazon Comprehend DetectEntities API. The response from the DetectEntities API includes the default entities. Extraction phase.

Analytics 81

Analytics APIs Healthcare Big data 81

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.

APIs 65

APIs Customer Experience Feedback Chatbots 65

AWS Machine Learning

NOVEMBER 1, 2022

Autopilot training jobs start their own dedicated SageMaker backend processes, and dedicated SageMaker API calls are required to start new training jobs, monitor training job statuses, and invoke trained Autopilot models. We use a Lambda step because the API call to Autopilot is lightweight. script creates an Autopilot job.

Scripts 83

Scripts APIs Metrics Engineering 83

AWS Machine Learning

MAY 24, 2023

Additionally, we can use the Amazon Textract Analyze Lending API in processing mortgage documents. After you deploy your model, you may evaluate its performance scores and metrics based on the prediction explanations. This helps identify top risk indicators and analyze fraud patterns across the data.

APIs 75

APIs Metrics Management Personalization 75

AWS Machine Learning

JULY 19, 2022

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. Start the model and analyze the image with the trained model using the Rekognition Custom Labels API. Deploy the model and analyze the images using the Rekognition Custom Labels API.

APIs 75

APIs Metrics Enterprise Government 75

AWS Machine Learning

OCTOBER 27, 2022

We can then call a Forecast API to create a dataset group and import data from the processed S3 bucket. We use the AutoPredictor API, which is also accessible through the Forecast console. We use the AutoPredictor API, which is also accessible through the Forecast console.

APIs 98

APIs Best practices Metrics Government 98

AWS Machine Learning

JULY 24, 2023

If the model changes on the server side, the client has to know and change its API call to the new endpoint accordingly. Based on these metrics an informed decision can be made. Neuron compilation explained The Neuron SDK’s API closely resembles the PyTorch Python API. 3 Inf1.24xlarge 16 64 1.5 code as the entry point.

Scripts 78

Scripts APIs Engineering Best practices 78

AWS Machine Learning

JULY 7, 2022

You can use APIs or AWS CloudFormation (see Creating Amazon Lex V2 resources with AWS CloudFormation ) to manage the bot programmatically. Identify user experience metrics – Defining the conversational experience can be hard. You should evaluate the user experience, and invest in an automated testing to generate key metrics.

Best practices 81

Best practices Metrics APIs Accountability 81

AWS Machine Learning

NOVEMBER 8, 2023

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.

Healthcare 101

Healthcare APIs Enterprise Engineering 101

Inbenta

JULY 3, 2020

Statistics – WhatsApp for Business lets you access key metrics like how many of your messages were sent, delivered, and read. WhatsApp Business offers an API (Application Programming Interface). An API is a set of programming standards that allows other developers to create products associated with a specific service.

Chatbots 98

Chatbots APIs Wait times CRM 98

AWS Machine Learning

OCTOBER 5, 2022

For a real-time prediction, you call the GetEventPrediction API after a user presents valid login credentials to quantify the risk of ATO. If you provide labels, Amazon Fraud Detector uses them to automatically calculate an Account Takeover Discovery Rate and display it in the model performance metrics. Category. Upload event data.

Accountability 75

Accountability APIs Metrics Engineering 75

JustCall

JANUARY 23, 2024

It can gather insights from metrics such as customer response, average time to handle each issue, conversation volume, first response time, etc. WhatsApp Business has apps for small businesses and an API for large teams. ” After the verification is successfully completed, you can use the WhatsApp Business API for your company.

APIs 52

APIs Chatbots Multichannel Accountability 52

ProProfs Blog

JUNE 26, 2020

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. Chat Response Time is a metric to monitor how much time your operators took to respond to chats. Chat Duration.

Customer Service 179

Customer Service APIs Customer Support Feedback 179

Spearline

JULY 7, 2022

O ur suite of webRTC testing, monitoring, and analytics solutions provide a raft of real-time and aggregate global and localized testing metrics. These metrics represent performance at all levels of critical webRTC infrastructure and network paths. Or, call our API for this information in JSON format.

Metrics 95

Metrics APIs Analytics Contact Center 95

AWS Machine Learning

MARCH 28, 2024

You can scrape the filings from EDGAR directly, or use APIs in Amazon SageMaker with a few lines of code, for any period of time and for a large number of tickers (i.e., For the latter, the authors assign sampling weights for each data points according the metric values, and then randomly sample k data points to meet the training budget.

Finance 102

Finance Metrics Banking Engineering 102

AWS Machine Learning

NOVEMBER 22, 2022

We also demonstrate how to understand the different sentiments associated with specific entities in the text (such as company, product, person, or brand) directly from the API. The Amazon Comprehend sentiment API identifies the overall sentiment for a text document. Use cases for real-time sentiment analysis. Step Functions Workflow.

APIs 73

APIs CRM Feedback B2C 73