AWS Machine Learning

FEBRUARY 25, 2025

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 single API, along with a broad set of capabilities to build generative AI applications with security, privacy, and responsible AI.

Chatbots 82

Chatbots Engineering Automotive Metrics 82

AWS Machine Learning

OCTOBER 5, 2022

In this post, we discuss the key elements needed to evaluate the performance aspect of a content moderation service in terms of various accuracy metrics, and a provide an example using Amazon Rekognition Content Moderation API’s. What to evaluate. When evaluating a content moderation service, we recommend the following steps.

Metrics 101

Metrics APIs Advertising Enterprise 101

AWS Machine Learning

NOVEMBER 14, 2024

The user’s request is sent to AWS API Gateway , which triggers a Lambda function to interact with Amazon Bedrock using Anthropic’s Claude Instant V1 FM to process the user’s request and generate a natural language response of the place location. The class definition is similar to the LangChain ConversationalChatAgent class.

APIs 112

APIs Engineering Personalization Transportation 112

AWS Machine Learning

FEBRUARY 10, 2025

The deployment of agentic systems should focus on well-defined processes with clear success metrics and where there is potential for greater flexibility and less brittleness in process management. You can deploy or fine-tune models through an intuitive UI or APIs, providing flexibility for all skill levels.

Enterprise 116

Enterprise Engineering APIs Chatbots 116

Nicereply

JUNE 24, 2021

Customer Effort Score is a metric, which customer service teams are using to evaluate how easy customers thought it was to get a resolution to their recent contact. The Customer Effort Score metric grew out of a desire to measure the amount of effort customers were experiencing in their service interactions. And the metric works.

Customer effort 81

Customer effort Surveys Metrics Feedback 81

AWS Machine Learning

MAY 7, 2024

Amazon Transcribe The transcription for the entire video is generated using the StartTranscriptionJob API. The solution runs Amazon Rekognition APIs for label detection , text detection, celebrity detection , and face detection on videos. The metadata generated for each video by the APIs is processed and stored with timestamps.

APIs 137

APIs Advertising Entertainment Metrics 137

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. Scheduling Core Features Matching Schedules to Forecasted Volume The common definition of WFM is “right people, right place, right time”.

Abandon rate 195

Abandon rate CCNG Average Handle Time Contact Center 195

AWS Machine Learning

SEPTEMBER 18, 2024

The following figure shows schema definition and model which reference it. It provides a unified interface for logging parameters, code versions, metrics, and artifacts, making it easier to compare experiments and manage the model lifecycle. The main parts we use are tracking the server and model registry.

APIs 122

APIs Engineering Analytics Marketing 122

AWS Machine Learning

SEPTEMBER 12, 2023

MLOps – Because the SageMaker endpoint is private and can’t be reached by services outside of the VPC, an AWS Lambda function and Amazon API Gateway public endpoint are required to communicate with CRM. The function then relays the classification back to CRM through the API Gateway public endpoint.

Management 130

Management APIs CRM Metrics 130

AWS Machine Learning

MAY 16, 2024

Problem definition Traditionally, the recommendation service was mainly provided by identifying the relationship between products and providing products that were highly relevant to the product selected by the customer. Lambda receives the list of recommendations and provides them to the API gateway.

Personalization 127

Personalization APIs Scripts Technical Support 127

AWS Machine Learning

APRIL 12, 2023

All the training and evaluation metrics were inspected manually from Amazon Simple Storage Service (Amazon S3). For every epoch in our training, we were already sending our training metrics through stdOut in the script. This allows us to compare training metrics like accuracy and precision across multiple runs as shown below.

Scripts 109

Scripts APIs Metrics Best practices 109

AWS Machine Learning

MARCH 18, 2025

Additionally, the complexity increases due to the presence of synonyms for columns and internal metrics available. JSONs inherently structured format allows for clear and organized representation of complex data such as table schemas, column definitions, synonyms, and sample queries. I am creating a new metric and need the sales data.

Enterprise 110

Enterprise Chatbots Engineering Metrics 110

Calabrio

MARCH 4, 2025

The Cloud-Based Software Behind the Scenes Beyond a simple definition of the term, its impossible to talk about the omnichannel contact center without talking about omnichannel contact center software solutions that make them possible. API and Integrations: WFO solutions arent the only thing your contact center software should connect with.

Contact Center 52

Contact Center Contact center software Multichannel APIs 52

AWS Machine Learning

OCTOBER 16, 2023

Apart from GPU provisioning, this setup also required data scientists to build a REST API wrapper for each model, which was needed to provide a generic interface for other company services to consume, and to encapsulate preprocessing and postprocessing of model data. Two MMEs were created at Veriff, one for staging and one for production.

APIs 116

APIs Best practices Engineering Metrics 116

AWS Machine Learning

OCTOBER 25, 2022

Additionally, NVIDIA Triton Inference Server has been extended to implement MME API contract , to integrate with MME. Get insights into instance and invocation metrics using Amazon CloudWatch. We use the AWS SDK for Python (Boto3) APIs create_model , create_endpoint_config , and create_endpoint to create an MME. Create an MME.

APIs 106

APIs Metrics Engineering Enterprise 106

Spearline

DECEMBER 23, 2021

The standard definition of PDD can be defined as: “the time or delay that occurs from the time a number has been dialed, until the caller or called party hears ringing.” To sum it up, the Spearline PDD test is a “call answer time” metric that includes any delay added by intermediary networks.

Telecommunications 98

Telecommunications Call flow industry standards APIs 98

AWS Machine Learning

JULY 7, 2022

After you’ve initially configured the bot, you should test it internally and iterate on the bot definition. 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.

Best practices 98

Best practices Metrics APIs Accountability 98

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 99

Best practices APIs Metrics Accountability 99

AWS Machine Learning

NOVEMBER 1, 2024

We discuss the important components of fine-tuning, including use case definition, data preparation, model customization, and performance evaluation. We also provide insights on how to achieve optimal results for different dataset sizes and use cases, backed by experimental data and performance metrics.

Best practices 98

Best practices APIs Finance Engineering 98

AWS Machine Learning

FEBRUARY 6, 2023

Together with the implementation details in a corresponding example Jupyter notebook , you will have tools available to perform model selection by exploring pareto frontiers, where improving one performance metric, such as accuracy, is not possible without worsening another metric, such as throughput.

APIs 98

APIs Scripts Metrics Benchmark 98

AWS Machine Learning

MAY 13, 2024

This is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading artificial intelligence (AI) companies like AI21 Labs, Anthropic, Cohere, Meta, Stability AI, and Amazon through a single API. These metrics will assess how well a machine-generated summary compares to one or more reference summaries.

Healthcare 136

Healthcare Engineering APIs Benchmark 136

AWS Machine Learning

JANUARY 12, 2023

This module implements an observability solution, including application logs, application performance monitoring (APM), and metrics. Finally, the Logstash service consists of a task definition containing a Logstash container and PII redaction container, ensuring the removal of PII prior to exporting to Elasticsearch.

Engineering 127

Engineering APIs Accountability Metrics 127

AWS Machine Learning

MAY 31, 2023

Triton with PyTorch backend The PyTorch backend is designed to run TorchScript models using the PyTorch C++ API. In the container definition, define the ModelDataUrl to specify the S3 directory that contains all the models that the SageMaker MME will use to load and serve predictions. tar -C triton-serve-pt/ -czf resnet_pt_v0.tar.gz

APIs 119

APIs Scripts Engineering Accountability 119

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 98

APIs Accountability Metrics Engineering 98

AWS Machine Learning

OCTOBER 19, 2022

The definitions of low and high depend on the application, but common practice suggests that scores beyond three standard deviations from the mean score are considered anomalous. JumpStart solutions are not available in SageMaker notebook instances, and you can’t access them through SageMaker APIs or the AWS Command Line Interface (AWS CLI).

APIs 96

APIs Metrics Calibration Accountability 96

AWS Machine Learning

OCTOBER 2, 2023

For this we use AWS Step Functions , a serverless workflow service that provides us with API integrations to quickly orchestrate and visualize the steps in our workflow. Create a SageMaker pipeline definition to orchestrate model building. Use the scripts created in step one as part of the processing and training steps.

Scripts 124

Scripts Construction Engineering APIs 124

Calabrio

FEBRUARY 25, 2025

Theres no one clear definition of CX platform. 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. Real-Time Dashboards and Reporting: Monitor key metrics and track performance within intuitive dashboards.

Customer Experience 52

Customer Experience CRM Contact Center APIs 52

AWS Machine Learning

APRIL 29, 2024

This often means the method of using a third-party LLM API won’t do for security, control, and scale reasons. It provides an approachable, robust Python API for the full infrastructure stack of ML/AI, from data and compute to workflows and observability. The following figure illustrates this workflow.

APIs 126

APIs Engineering Scripts Management 126

AWS Machine Learning

JANUARY 13, 2023

SageMaker hosting services are used to deploy models, while SageMaker Model Monitor and SageMaker Clarify are used to monitor models for drift, bias, custom metric calculators, and explainability. Amazon API Gateway is used to expose the functionality with an API endpoint to be consumed from their web portal. Data service.

Government 98

Government Engineering Enterprise APIs 98

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 97

APIs Government Accountability Scripts 97

AWS Machine Learning

OCTOBER 12, 2022

Call the Amazon Textract analyze_document API using the Queries feature to extract text from the page. In the sample solution, we call the Amazon Textract analyze_document API query feature to extract fields by asking specific questions. You can find the detailed JSON structure definition in the GitHub repo.

APIs 98

APIs Construction Metrics Engineering 98

AWS Machine Learning

SEPTEMBER 9, 2022

Amp wanted a scalable data and analytics platform to enable easy access to data and perform machine leaning (ML) experiments for live audio transcription, content moderation, feature engineering, and a personal show recommendation service, and to inspect or measure business KPIs and metrics. This post is the first in a two-part series.

Analytics 97

Analytics Engineering Metrics APIs 97

JustCall

MARCH 15, 2023

Some people will definitely reply to your texts for more information about your service/offer. Thanks to SMS gateways and APIs, you can schedule and automatically send pre-written messages to thousands of customers today. While there are several metrics to track, the two major ones that you should not be missing are: 1.

Marketing 122

Marketing Telemarketing APIs Best practices 122

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. It can be difficult to automatically extract information from such types of documents where there is no definite structure. Extraction phase. client('comprehend').

Analytics 98

Analytics APIs Healthcare Big data 98

AWS Machine Learning

JUNE 13, 2023

In addition, all SageMaker real-time endpoints benefit from built-in capabilities to manage and monitor models, such as including shadow variants , auto scaling , and native integration with Amazon CloudWatch (for more information, refer to CloudWatch Metrics for Multi-Model Endpoint Deployments ).

APIs 96

APIs Benchmark Engineering Management 96

AWS Machine Learning

AUGUST 26, 2024

Role context – Start each prompt with a clear role definition. This involves benchmarking new models against our current selections across various metrics, running A/B tests, and gradually incorporating high-performing models into our production pipeline. For example, “You are an AWS Account Manager preparing for a customer meeting.”

Sales 129

Sales Accountability Feedback Metrics 129

AWS Machine Learning

OCTOBER 8, 2024

Throughout this blog post, we will be talking about AutoML to indicate SageMaker Autopilot APIs, as well as Amazon SageMaker Canvas AutoML capabilities. The following diagram depicts the basic AutoMLV2 APIs, all of which are relevant to this post. The diagram shows the workflow for building and deploying models using the AutoMLV2 API.

Metrics 95

Metrics APIs Sales Accountability 95