AWS Machine Learning

MARCH 15, 2023

The best practice for migration is to refactor these legacy codes using the Amazon SageMaker API or the SageMaker Python SDK. We demonstrate how two different personas, a data scientist and an MLOps engineer, can collaborate to lift and shift hundreds of legacy models. You can easily extend this solution to add more functionality.

Scripts 137

Scripts APIs Engineering Enterprise 137

AWS Machine Learning

MARCH 22, 2023

You can then use your custom model via the Rekognition Custom Labels API and integrate it into your applications. After the datasets are created, we train a Custom Labels model using the CreateProjectVersion API. To invoke this API, the caller needs to have the necessary AWS Identity and Access Management (IAM) permissions.

APIs 92

APIs Metrics Feedback Management 92

AWS Machine Learning

MAY 8, 2023

In this post, we address these limitations by implementing the access control outside of the MLflow server and offloading authentication and authorization tasks to Amazon API Gateway , where we implement fine-grained access control mechanisms at the resource level using Identity and Access Management (IAM). Adds an IAM authorizer.

APIs 83

APIs Accountability Scripts Management 83

Aria Solutions

JUNE 8, 2020

Designing a process from scratch is already a task and a half for your Salesforce org, but re-engineering a process is even a bigger undertaking when the process has been in use for some time. Much like “save early and save often”, proactively keep tabs on how a re-engineered process is received by users. Demo early, demo often.

Engineering 62

Engineering APIs Feedback Consulting 62

AWS Machine Learning

AUGUST 1, 2022

Feature engineering is one of the most challenging aspects of the machine learning (ML) lifecycle and a phase where the most amount of time is spent—data scientists and ML engineers spend 60–70% of their time on feature engineering. Data scientists and ML engineers need to easily add features to an existing feature group.

APIs 101

APIs Engineering Management SaaS 101

AWS Machine Learning

AUGUST 29, 2022

You can now use cross-account support for Amazon SageMaker Pipelines to share pipeline entities across AWS accounts and access shared pipelines directly through Amazon SageMaker API calls. In the workflow, the data scientist and ML engineer perform the following steps: The data scientist (DS) builds a model pipeline in the dev account.

Accountability 94

Accountability APIs Management Engineering 94

AWS Machine Learning

DECEMBER 29, 2022

The Analyze Lending feature in Amazon Textract is a managed API that helps you automate mortgage document processing to drive business efficiency, reduce costs, and scale quickly. The Signatures feature is available as part of the AnalyzeDocument API. AnalyzeExpense API adds new fields and OCR output.

APIs 117

APIs Banking Healthcare Self service 117

Aria Solutions

JUNE 8, 2020

Designing a process from scratch is already a task and a half for your Salesforce org, but re-engineering a process is even a bigger undertaking when the process has been in use for some time. Much like “save early and save often”, proactively keep tabs on how a re-engineered process is received by users. Demo early, demo often.

Engineering 62

Engineering APIs Feedback Consulting 62

AWS Machine Learning

SEPTEMBER 23, 2022

Amazon’s product search engine indexes billions of products, serves hundreds of millions of customers worldwide, and is one of the most heavily used services in the world. The Amazon Search team develops machine learning (ML) technology that powers the Amazon.com search engine and helps customers search effortlessly.

APIs 112

APIs Engineering Customer Experience Management 112

Edify

JANUARY 4, 2021

Matt initially had an interest in aerospace engineering before finding his love for programming while studying at Purdue University. After graduating, he spent several years working at another contact center software company, quickly moving from a junior software engineer to team leader to senior software engineer.

Contact center software 97

Contact center software APIs Contact Center Engineering 97

Whitepages Pro

APRIL 16, 2019

In March, we announced Transaction Risk API , our latest solution to fight payment fraud and improve the efficiency of authorizations, built specifically for models. Our goal with Transaction Risk API was to provide a powerful tool to help in this space. Engineering Efficiency. Today, let’s talk about the how.

APIs 40

APIs Engineering Feedback Wait times 40

AWS Machine Learning

JANUARY 12, 2023

This is guest post by Andy Whittle, Principal Platform Engineer – Application & Reliability Frameworks at The Very Group. The overriding goal for The Very Group’s engineering team was to prevent any PII data from reaching documents within Elasticsearch. Overview of solution. Some decisions had to be made to enable the solution.

Engineering 132

Engineering APIs Accountability Metrics 132

AWS Machine Learning

APRIL 19, 2023

They use the DJL PyTorch engine to initialize the model predictor. The DJL continues to grow in its ability to support different hardware, models, and engines. The architecture of DJL is engine agnostic. When the DJL loads, it finds all the engine implementations available in the class path using Java’s ServiceLoader.

Scripts 88

Scripts Engineering APIs Technology 88

Stratifyd

JANUARY 2, 2019

We’re looking for a Backend Software Engineer who is passionate about technology, has experience building scalable and robust solutions and can help set the direction of our framework/platform. Maintain and develop Stratifyd’s API layer and/or analytics pipeline. and Python/C API. Role & Responsibilities. Stratifyd, Inc.

Engineering 40

Engineering APIs Analytics B2B 40

AWS Machine Learning

MAY 25, 2023

We implement the RAG functionality inside an AWS Lambda function with Amazon API Gateway to handle routing all requests to the Lambda. We implement a chatbot application in Streamlit which invokes the function via the API Gateway and the function does a similarity search in the OpenSearch Service index for the embeddings of user question.

APIs 84

APIs Enterprise Chatbots Accountability 84

Whitepages Pro

APRIL 24, 2019

Our latest product innovation, Transaction Risk API , was specifically built for easy integration into sophisticated machine learning (ML) models and is designed to help eCommerce merchants, marketplaces, payment processors, and others manage payment fraud. Transaction Risk API delivers a response within 100 ms to meet this need.

APIs 40

APIs Marketing Metrics Engineering 40

AWS Machine Learning

MAY 23, 2023

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.

APIs 111

APIs Accountability Management Technology 111

AWS Machine Learning

MAY 19, 2023

The DescribeForMe web app invokes the backend AI services by sending the Amazon S3 object Key in the payload to Amazon API Gateway Amazon API Gateway instantiates an AWS Step Functions workflow. A pre-signed URL with the location of the audio file stored in Amazon S3 is sent back to the user’s browser through Amazon API Gateway.

APIs 104

APIs Scripts Technology Personalization 104

Stratifyd

JANUARY 3, 2019

As a Senior Back-End Software Engineer with Stratifyd, Inc. you will be work collaboratively with a talented group of engineers, designers, and product managers to create a functional seamless experience for the end-user. Maintain and develop Stratifyd’s API layer and/or analytics pipeline. and Python/C API.

Engineering 40

Engineering APIs Analytics Big data 40

AWS Machine Learning

MAY 31, 2023

Triton supports various backends as engines to power the running and serving of different framework models , like PyTorch, TensorFlow, TensorRT, or ONNX Runtime. Triton with PyTorch backend The PyTorch backend is designed to run TorchScript models using the PyTorch C++ API. This is the key differentiator. 4xlarge instance).

APIs 105

APIs Scripts Accountability Best practices 105

AWS Machine Learning

APRIL 20, 2023

Also, you can build these ML systems with a combination of ML models, tasks, frameworks, libraries, tools, and inference engines, making it important to evaluate the ML system performance for the best possible deployment configurations. The goal is to find which value for OMP_NUM_THREADS provides the best performance. Running Advanced job.

APIs 97

APIs Metrics Benchmark Engineering 97

AWS Machine Learning

AUGUST 17, 2022

Streaming APIs : The streaming APIs ( PutEvents , PutUsers , and PutItems ) are designed to incrementally update each respective dataset in real-time. This data is then ingested via the PutEvents API, which incrementally updates your interactions dataset. CreateDatasetImportJob. DescribeDatasetImportJob. ListDatasetImportJob.

Personalization 89

Personalization APIs Enterprise Analytics 89

OrecX

MARCH 23, 2023

REST API for open, easy audio data sharing with transcription and analytics engines. Many recorders require lengthy and complicated integration with outside engines to receive the recording, transcribe it, and then process analytics findings. This enables real-time analytics. Are you ready for analytics?

Analytics 71

Analytics voip Call Center APIs 71

delighted

DECEMBER 3, 2021

Great examples of automated distribution include survey integrations and Application Programming Interface (API) connections. And, setting up APIs can link two applications to one another for data sharing/interacting purposes, making manual uploads a thing of the past. Create custom APIs for more complex use cases. Not to worry!

Surveys 98

Surveys APIs SaaS Feedback 98

AWS Machine Learning

MARCH 22, 2023

Data Wrangler simplifies the data preparation and feature engineering process, reducing the time it takes from weeks to minutes by providing a single visual interface for data scientists to select and clean data, create features, and automate data preparation in ML workflows without writing any code. Configure Snowflake.

APIs 92

APIs Analytics Scripts Engineering 92

AWS Machine Learning

APRIL 10, 2023

Each NeuronCore-v2 is an independent, heterogenous compute-unit, with four main engines: Tensor, Vector, Scalar, and GPSIMD engines. The following code shows an example: engine=Python option.entryPoint=djl_python.transformers_neuronx option.task=text-generation option.model_id=facebook/opt-1.3b dtype) block.fc1.to(dtype)

Engineering 90

Engineering APIs Chatbots Benchmark 90

AWS Machine Learning

OCTOBER 13, 2022

The high-level workflow of this solution is as follows: Scientists invoke an API to submit a new job to the system. It acts as an API for simplicity. You can also front it with Amazon API Gateway , if needed. Luochao Wang is a Software Engineer at Amazon Search. This function registers the jobs in the DynamoDB table.

APIs 90

APIs Engineering Management Personalization 90

AWS Machine Learning

MAY 31, 2023

Once configured, the Python SDK automatically inherits these values and propagates them to the underlying SageMaker API calls such as CreateProcessingJob() , CreateTrainingJob() , and CreateEndpointConfig() , with no additional actions needed. Additionally, each API call can have its own configurations. Delete the Studio domain stack.

APIs 81

APIs Scripts Accountability Enterprise 81

AWS Machine Learning

MAY 8, 2023

To serve models, Triton supports various backends as engines to support the running and serving of various ML models for inference. With kernel auto-tuning, the engine selects the best algorithm for the target GPU, maximizing hardware utilization. Import the ONNX model into TensorRT and generate the TensorRT engine.

Best practices 101

Best practices APIs Engineering Scripts 101

AWS Machine Learning

DECEMBER 13, 2022

To create a high-quality training dataset, Chronomics engineers decided to follow these steps: Manual annotation – Manually select and label 1,000 images to ensure that the three classes are evenly represented. Chronomics’s engineers turned towards Amazon Rekognition Custom Labels , a feature of Amazon Rekognition with AutoML capabilities.

APIs 78

APIs Engineering Metrics Technology 78

AWS Machine Learning

JANUARY 6, 2023

Prior to building this centralized platform, TR had a legacy rules-based engine to generate renewal recommendations. The rules in this engine were predefined and written in SQL, which aside from posing a challenge to manage, also struggled to cope with the proliferation of data from TR’s various integrated data source. Conclusion.

Personalization 83

Personalization APIs Engineering Enterprise 83

AWS Machine Learning

MARCH 14, 2023

Each NeuronCore-v2 consists of a fully independent heterogenous compute unit with separate engines (Tensor/Vector/Scalar/GPSIMD). GPSIMD are fully programmable general-purpose processors that you can use to implement custom operators and run them directly on the NeuronCore engines. Mark Yu is a Software Engineer in AWS SageMaker.

APIs 96

APIs Scripts Benchmark Engineering 96

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.

Customer Experience 76

Customer Experience APIs Feedback Chatbots 76

AWS Machine Learning

AUGUST 3, 2022

Amazon SageMaker Feature Store helps data scientists and machine learning (ML) engineers securely store, discover, and share curated data used in training and prediction workflows. In this section, we interact with the Boto3 API endpoints to update and search feature metadata. 1]) df=df.drop('FeatureGroupArn', axis=1) return df.

APIs 93

APIs Engineering Entertainment Education 93

AWS Machine Learning

JANUARY 9, 2023

using open source or commercial-off-the-shelf search engines, then you’re probably familiar with the inherent accuracy challenges involved in getting relevant search results. You need your search engine to be smarter so it can rank documents based on matching the meaning or semantics of the content to the intention of the user’s query.

Scripts 105

Scripts APIs Engineering Management 105

AWS Machine Learning

APRIL 17, 2023

You can use Amazon Fraud Detector to build customized fraud detection models using your own historical dataset, add decision logic using the built-in rules engine, and orchestrate risk decision workflows with a click of a button. To verify the event label, call the get_event API: import boto3 def get_event(): fraudDetector = boto3.client('frauddetector')

APIs 90

APIs Metrics Management Government 90

AWS Machine Learning

OCTOBER 6, 2022

To classify and extract information needed to validate information in accordance with a set of configurable funding rules, Informed uses a series of proprietary rules and heuristics, text-based neural networks, and image-based deep neural networks, including Amazon Textract OCR via the DetectDocumentText API and other statistical models.

APIs 84

APIs SaaS Banking Technology 84