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Modernizing data science lifecycle management with AWS and Wipro

AWS Machine Learning

Many organizations have been using a combination of on-premises and open source data science solutions to create and manage machine learning (ML) models. Data science and DevOps teams may face challenges managing these isolated tool stacks and systems. Wipro is an AWS Premier Tier Services Partner and Managed Service Provider (MSP).

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How LotteON built a personalized recommendation system using Amazon SageMaker and MLOps

AWS Machine Learning

For this reason, we built the MLOps architecture to manage the created models and provide real-time services. 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.

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Facebook’s Conversion API – what marketers need to know

Infinity

Every ‘event’ that happens online can be gold dust for marketers. The greater the visibility you have of the data needed to track conversion events, optimise ads and re-target users, the stronger the position you are in as a marketer. Accurately tracking and improving campaign performance is at the top of every marketer’s wish list.

APIs 52
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Build an Amazon SageMaker Model Registry approval and promotion workflow with human intervention

AWS Machine Learning

The solution uses AWS Lambda , Amazon API Gateway , Amazon EventBridge , and SageMaker to automate the workflow with human approval intervention in the middle. EventBridge monitors status change events to automatically take actions with simple rules. API Gateway invokes a Lambda function to initiate model updates.

APIs 97
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Automate mortgage document fraud detection using an ML model and business-defined rules with Amazon Fraud Detector: Part 3

AWS Machine Learning

Solution overview We use Amazon Fraud Detector, a fully managed fraud detection service, to automate the detection of fraudulent activities. Deploy the API to make predictions. Defining an event involves setting the variables in your dataset, an entity initiating the event, and the labels that classify the event.

APIs 106
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Detect audio events with Amazon Rekognition

AWS Machine Learning

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.

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Automate Amazon Rekognition Custom Labels model training and deployment using AWS Step Functions

AWS Machine Learning

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 79