AWS Machine Learning

AUGUST 26, 2024

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.

APIs 120

APIs Calibration Best practices Healthcare 120

AWS Machine Learning

SEPTEMBER 6, 2022

Using software to detect a sound is called audio event detection , and it has a number of applications. In a healthcare environment, you can use audio event detection to passively listen for sounds from a patient that indicate an acute health problem. Using audio data with machine learning. About the authors.

Engineering 87

Engineering APIs Healthcare SaaS 87

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. This pipeline step uses a Lambda step , which runs a serverless Lambda function.

65

65

AWS Machine Learning

MARCH 27, 2024

This requires carefully combining applications and metrics to provide complete awareness, accuracy, and control. The zAdviser uses Amazon Bedrock to provide summarization, analysis, and recommendations for improvement based on the DORA metrics data. It’s also vital to avoid focusing on irrelevant metrics or excessively tracking data.

Enterprise 112

Enterprise APIs Metrics Engineering 112

AWS Machine Learning

OCTOBER 29, 2024

SageMaker Model Monitor emits per-feature metrics to Amazon CloudWatch , which you can use to set up dashboards and alerts. You can use cross-account observability in CloudWatch to search, analyze, and correlate cross-account telemetry data stored in CloudWatch such as metrics, logs, and traces from one centralized account.

Government 97

Government Metrics Accountability APIs 97

AWS Machine Learning

MAY 16, 2024

The main AWS services used are SageMaker, Amazon EMR , AWS CodeBuild , Amazon Simple Storage Service (Amazon S3), Amazon EventBridge , AWS Lambda , and Amazon API Gateway. Real-time recommendation inference The inference phase consists of the following steps: The client application makes an inference request to the API gateway.

Personalization 118

Personalization APIs Scripts Technical Support 118

AWS Machine Learning

MARCH 22, 2023

Behind the scenes, Rekognition Custom Labels automatically loads and inspects the training data, selects the right ML algorithms, trains a model, and provides model performance metrics. You can then use your custom model via the Rekognition Custom Labels API and integrate it into your applications.

APIs 91

APIs Metrics Engineering Feedback 91

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. A user sends a question (NLQ) as a JSON event. If it finds any, it skips to Step 6.

Real estate 128

Real estate APIs Metrics Construction 128

AWS Machine Learning

JULY 31, 2023

It also enables you to evaluate the models using advanced metrics as if you were a data scientist. In this post, we show how a business analyst can evaluate and understand a classification churn model created with SageMaker Canvas using the Advanced metrics tab. The F1 score provides a balanced evaluation of the model’s performance.

Metrics 91

Metrics Engineering Accountability Telecommunications 91

AWS Machine Learning

JANUARY 5, 2024

Whenever drift is detected, an event is launched to notify the respective teams to take action or initiate model retraining. Event-driven architecture – The pipelines for model training, model deployment, and model monitoring are well integrated by use Amazon EventBridge , a serverless event bus.

Management 132

Management APIs Engineering Government 132

AWS Machine Learning

JUNE 5, 2024

You can use Amazon Comprehend to identify the language of the text; extract key phrases, places, people, brands, or events; understand sentiment about products or services; and identify the main topics from a library of documents. You can train a custom classifier using either the Amazon Comprehend console or API.

APIs 109

APIs Metrics Accountability Enterprise 109

AWS Machine Learning

APRIL 17, 2023

Another option is to use an unsupervised anomaly detection model to monitor and surface unusual behavior among customer events. The challenge with this approach is that not all fraud events are anomalies, and not all anomalies are indeed fraud. The following table defines these metrics. AUC uncertainty interval > 0.3

APIs 86

APIs Government Metrics Engineering 86

AWS Machine Learning

OCTOBER 16, 2024

To evaluate the transcription accuracy quality, the team compared the results against ground truth subtitles on a large test set, using the following metrics: Word error rate (WER) – This metric measures the percentage of words that are incorrectly transcribed compared to the ground truth. A lower MER signifies better accuracy.

Engineering 109

Engineering Metrics APIs Big data 109

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. However, it’s helpful to capture those events and store them for future use.

Abandon rate 195

Abandon rate CCNG Average Handle Time Contact Center 195

AWS Machine Learning

AUGUST 2, 2024

Company earnings calls are crucial events that provide transparency into a company’s financial health and prospects. Investors and analysts closely watch key metrics like revenue growth, earnings per share, margins, cash flow, and projections to assess performance against peers and industry trends.

Engineering 127

Engineering Scripts Metrics APIs 127

AWS Machine Learning

OCTOBER 10, 2022

Therefore, preventing mobile fraud starts from clearly understanding the risk profile of the devices used to access the mobile app and then using the device risk intelligence gathered, together with additional data about the user, event, or account, to detect potential fraudulent behavior in real time and at scale.

APIs 83

APIs Accountability Metrics Government 83

AWS Machine Learning

JULY 30, 2024

The response from API calls are displayed to the end-user. The Mediasearch solution has an event-driven serverless computing architecture with the following steps: You provide an S3 bucket containing the audio and video files you want to index and search. This is also known as the MediaBucket.

APIs 107

APIs Accountability Management Entertainment 107

AWS Machine Learning

JUNE 20, 2024

Imperva Cloud WAF protects hundreds of thousands of websites against cyber threats and blocks billions of security events every day. Counters and insights based on security events are calculated daily and used by users from multiple departments. The idea is to use metrics to compare experiments during development.

Construction 106

Construction APIs Metrics Engineering 106

Calltools

OCTOBER 30, 2024

Prioritizing speed to lead as a metric can further improve those relationships, benefitting your contact center in several ways. Real-Time APIs for Instant Lead Optimization CallTools’ platform lets you connect to diverse APIs so you can prioritize lead optimization in real time.

Sales 52

Sales APIs Contact Center Metrics 52

AWS Machine Learning

FEBRUARY 14, 2023

After specifying the metrics that you want to track, you can identify which campaigns and recommenders are most impactful and understand the impact of recommendations on your business metrics. All customers want to track the metric that is most important for their business.

Personalization 83

Personalization Metrics APIs Management 83

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 106

Engineering APIs Scripts Enterprise 106

AWS Machine Learning

APRIL 18, 2024

A Lambda function called the Call Event Processor, fed by Kinesis Data Streams, processes and optionally enriches meeting metadata and transcription segments. The Call Event Processor integrates with the meeting assist services. The stacks take about 35–40 minutes to deploy. Authentication is provided by Amazon Cognito.

APIs 129

APIs Accountability Analytics Entertainment 129

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. In Part 1, we focus on creating accurate and reliable agents.

Best practices 97

Best practices APIs Metrics Benchmark 97

AWS Machine Learning

NOVEMBER 13, 2024

Because SageMaker Model Cards and SageMaker Model Registry were built on separate APIs, it was challenging to associate the model information and gain a comprehensive view of the model development lifecycle. SageMaker Model Registry catalogs your models along with their versions and associated metadata and metrics for training and evaluation.

Government 101

Government Engineering Metrics APIs 101

AWS Machine Learning

OCTOBER 5, 2022

Amazon Fraud Detector relies on specific models with tailored algorithms, enrichments, and feature transformations to detect fraudulent events across multiple use cases. The ATI model is trained using a dataset containing your business’s historical login events. Define the entity, event and event variables, and event label (optional).

Accountability 84

Accountability APIs Metrics Engineering 84

AWS Machine Learning

SEPTEMBER 25, 2024

Amazon Bedrock is a fully managed service that offers a choice of high-performing 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 119

APIs Call flow Accountability Technology 119

AWS Machine Learning

JULY 25, 2024

If it detects error messages specifically related to the Neuron device (which is the Trainium or AWS Inferentia chip), it will change NodeCondition to NeuronHasError on the Kubernetes API server. The node recovery agent is a separate component that periodically checks the Prometheus metrics exposed by the node problem detector.

Construction 113

Construction Metrics Scripts Engineering 113

AWS Machine Learning

AUGUST 10, 2023

SageMaker services, such as Processing, Training, and Hosting, collect metrics and logs from the running instances and push them to users’ Amazon CloudWatch accounts. SageMaker has native integration with the Amazon EventBridge , which monitors status change events in SageMaker. Analyzing log data with CloudWatch Log Insights queries.

Scripts 90

Scripts Accountability Metrics Best practices 90

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 92

Scripts APIs Metrics Engineering 92

AWS Machine Learning

SEPTEMBER 8, 2023

Amazon Rekognition makes it easy to add image analysis capability to your applications without any machine learning (ML) expertise and comes with various APIs to fulfil use cases such as object detection, content moderation, face detection and analysis, and text and celebrity recognition, which we use in this example.

APIs 121

APIs Scripts Entertainment Personalization 121

AWS Machine Learning

NOVEMBER 19, 2024

The excitement is building for the fourteenth edition of AWS re:Invent, and as always, Las Vegas is set to host this spectacular event. Gain insights into training strategies, productivity metrics, and real-world use cases to empower your developers to harness the full potential of this game-changing technology.

APIs 85

APIs Enterprise Best practices Government 85

CSM Magazine

APRIL 29, 2024

Real-time Monitoring and Alerts BI tools provide real-time monitoring of social media conversations, ensuring businesses can stay updated on relevant discussions, trends, and events as they happen. Users can interact with dashboards to explore data, drill down into specific metrics, and generate insights in real time.

Analytics 52

Analytics Metrics CRM Benchmark 52

AWS Machine Learning

NOVEMBER 21, 2023

The LAYOUT feature of AnalyzeDocument API can now detect up to ten different layout elements in a document’s page. It is important to note that layout elements appear in the correct reading order in the API response as the reading order in the document, which makes it easy to construct the layout text from the API’s JSON response.

APIs 110

APIs Construction Metrics Education 110

AWS Machine Learning

APRIL 23, 2024

Here are some features which we will cover: AWS CloudFormation support Private network policies for Amazon OpenSearch Serverless Multiple S3 buckets as data sources Service Quotas support Hybrid search, metadata filters, custom prompts for the RetreiveAndGenerate API, and maximum number of retrievals.

APIs 127

APIs Enterprise Scripts Accountability 127

AWS Machine Learning

APRIL 4, 2024

A Lambda function performs the same data transformation operations as the batch ingestion job at the individual record level, and ingests the data into Amazon Personalize using the PutEvents and PutItems APIs. For more information about these metrics, see Evaluating a solution version with metrics.

Personalization 98

Personalization APIs Engineering Metrics 98

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

NOVEMBER 22, 2023

Serverless architectures – IDP is often an event-driven solution, initiated by user uploads or scheduled jobs. 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.

APIs 116

APIs Metrics Benchmark Enterprise 116