APIs, Healthcare and Metrics - Customer Contact Central

Amazon Bedrock launches Session Management APIs for generative AI applications (Preview)

AWS Machine Learning

MARCH 25, 2025

Amazon Bedrock announces the preview launch of Session Management APIs, a new capability that enables developers to simplify state and context management for generative AI applications built with popular open source frameworks such as LangGraph and LlamaIndex. Building generative AI applications requires more than model API calls.

APIs

APIs Management Government Healthcare

Build a multi-tenant generative AI environment for your enterprise on AWS

AWS Machine Learning

NOVEMBER 7, 2024

It also uses a number of other AWS services such as Amazon API Gateway , AWS Lambda , and Amazon SageMaker. API Gateway is serverless and hence automatically scales with traffic. API Gateway also provides a WebSocket API. Incoming requests to the gateway go through this point.

Enterprise

Enterprise APIs Government Accountability

Track LLM model evaluation using Amazon SageMaker managed MLflow and FMEval

AWS Machine Learning

JANUARY 28, 2025

As LLMs take on more significant roles in areas like healthcare, education, and decision support, robust evaluation frameworks are vital for building trust and realizing the technologys potential while mitigating risks. Evaluation algorithm Computes evaluation metrics to model outputs.

Management

Management APIs Engineering Metrics

Centralize model governance with SageMaker Model Registry Resource Access Manager sharing

AWS Machine Learning

NOVEMBER 14, 2024

Customers can use the SageMaker Studio UI or APIs to specify the SageMaker Model Registry model to be shared and grant access to specific AWS accounts or to everyone in the organization. With this launch, customers can now seamlessly share and access ML models registered in SageMaker Model Registry between different AWS accounts.

Government

Government Management APIs Accountability

Orchestrate an intelligent document processing workflow using tools in Amazon Bedrock

AWS Machine Learning

FEBRUARY 21, 2025

Solution overview This intelligent document processing solution uses Amazon Bedrock FMs to orchestrate a sophisticated workflow for handling multi-page healthcare documents with mixed content types. The solution uses the FMs tool use capabilities, accessed through the Amazon Bedrock Converse API.

APIs

APIs Healthcare Consulting Consulting

Build a reverse image search engine with Amazon Titan Multimodal Embeddings in Amazon Bedrock and AWS managed services

AWS Machine Learning

NOVEMBER 13, 2024

The Amazon Bedrock single API access, regardless of the models you choose, gives you the flexibility to use different FMs and upgrade to the latest model versions with minimal code changes. Amazon Titan FMs provide customers with a breadth of high-performing image, multimodal, and text model choices, through a fully managed API.

Engineering

Engineering Management APIs Healthcare

5 Challenges and Solutions for Developing Mental Health Apps

CSM Magazine

FEBRUARY 19, 2025

Challenge 2: Integration with Wearables and Third-Party APIs Many people use smartwatches and heart rate monitors to measure sleep, stress, and physical activity, which may affect mental health. Third-party APIs may link apps to healthcare and meditation services. FDA in the U.S.). SSL/TLS in transit, AES-256 at rest).

APIs

APIs Healthcare Gamification Consulting

Philips accelerates development of AI-enabled healthcare solutions with an MLOps platform built on Amazon SageMaker

AWS Machine Learning

NOVEMBER 16, 2023

Since 2014, the company has been offering customers its Philips HealthSuite Platform, which orchestrates dozens of AWS services that healthcare and life sciences companies use to improve patient care. Regulations in the healthcare industry call for especially rigorous data governance.

Healthcare

Healthcare Government Engineering APIs

Evaluation of generative AI techniques for clinical report summarization

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. When summarizing healthcare texts, pre-trained LLMs do not always achieve optimal performance.

Healthcare

Healthcare Engineering APIs Benchmark

2022H2 Amazon Textract launch summary

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

APIs Banking Real estate Healthcare

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

AWS Machine Learning

JANUARY 10, 2024

The solution uses AWS Lambda , Amazon API Gateway , Amazon EventBridge , and SageMaker to automate the workflow with human approval intervention in the middle. The approver approves the model by following the link in the email to an API Gateway endpoint. API Gateway invokes a Lambda function to initiate model updates.

APIs

APIs Construction Engineering Analytics

Automatically generate impressions from findings in radiology reports using generative AI on AWS

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

Healthcare APIs Scripts Metrics

GenASL: Generative AI-powered American Sign Language avatars

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

APIs Calibration Best practices Metrics

Fine-tune Anthropic’s Claude 3 Haiku in Amazon Bedrock to boost model accuracy and quality

AWS Machine Learning

JULY 10, 2024

This process enhances task-specific model performance, allowing the model to handle custom use cases with task-specific performance metrics that meet or surpass more powerful models like Anthropic Claude 3 Sonnet or Anthropic Claude 3 Opus. Under Output data , for S3 location , enter the S3 path for the bucket storing fine-tuning metrics.

APIs

APIs Airlines Metrics Engineering

Reduce conversational AI response time through inference at the edge with AWS Local Zones

AWS Machine Learning

MARCH 3, 2025

Their applications span a variety of sectors, including customer service, healthcare, education, personal and business productivity, and many others. They enable applications requiring very low latency or local data processing using familiar APIs and tool sets. This represents an 83 ms (about 42%) reduction in latency.

APIs

APIs Benchmark Metrics Healthcare

Build a medical imaging AI inference pipeline with MONAI Deploy on AWS

AWS Machine Learning

NOVEMBER 8, 2023

AWS, NVIDIA, and other partners build applications and solutions to make healthcare more accessible, affordable, and efficient by accelerating cloud connectivity of enterprise imaging. AHI provides API access to ImageSet metadata and ImageFrames. later acquired by Philips Healthcare to form its Enterprise Imaging.

Healthcare

Healthcare APIs Enterprise Engineering

Making Businesses Better: Introducing New VirtualPBX Case Studies

VirtualPBX

NOVEMBER 8, 2023

Whether it’s a flooring manufacturer, a financial services firm, or a digital healthcare solutions company, a reliable and feature-rich communication system is vital to streamline operations and boost customer satisfaction. In the healthcare industry, reliability and connectivity are paramount.

Healthcare

Healthcare APIs Customer centricity Accountability

Optimize pet profiles for Purina’s Petfinder application using Amazon Rekognition Custom Labels and AWS Step Functions

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

APIs Metrics Consulting Consulting

Pre-training genomic language models using AWS HealthOmics and Amazon SageMaker

AWS Machine Learning

MAY 31, 2024

AWS HealthOmics and sequence stores AWS HealthOmics is a purpose-built service that helps healthcare and life science organizations and their software partners store, query, and analyze genomic, transcriptomic, and other omics data and then generate insights from that data to improve health and drive deeper biological understanding.

Biotechnology

Biotechnology Scripts Healthcare APIs

Revolutionizing large language model training with Arcee and AWS Trainium

AWS Machine Learning

APRIL 29, 2024

Dataset collection We followed the methodology outlined in the PMC-Llama paper [6] to assemble our dataset, which includes PubMed papers sourced from the Semantic Scholar API and various medical texts cited within the paper, culminating in a comprehensive collection of 88 billion tokens. Shamane Siri Ph.D.

APIs

APIs Healthcare Scripts Enterprise

Create a Generative AI Gateway to allow secure and compliant consumption of foundation models

AWS Machine Learning

SEPTEMBER 28, 2023

Regulated and compliance-oriented industries, such as financial services, healthcare and life sciences, and government institutes, face unique challenges in ensuring the secure and responsible consumption of these models. In addition, API Registries enabled centralized governance, control, and discoverability of APIs.

APIs

APIs Government Enterprise Engineering

How Earth.com and Provectus implemented their MLOps Infrastructure with Amazon SageMaker

AWS Machine Learning

JUNE 27, 2023

This step produces an expanded report containing the model’s metrics. The AI/ML architecture for EarthSnap is designed around a series of AWS services: Sagemaker Pipeline runs using one of the methods mentioned above (CodeBuild, API, manual) that trains the model and produces artifacts and metrics.

Engineering

Engineering APIs Scripts Entertainment

Build a news recommender application with Amazon Personalize

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

Personalization APIs Engineering Metrics

Few-shot prompt engineering and fine-tuning for LLMs in Amazon Bedrock

AWS Machine Learning

AUGUST 2, 2024

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. Draft a comprehensive earnings call script that covers the key financial metrics, business highlights, and future outlook for the given quarter.

Engineering

Engineering Scripts Metrics APIs

Best practices for building robust generative AI applications with Amazon Bedrock Agents – Part 1

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

Best practices APIs Metrics Accountability

Implementing Knowledge Bases for Amazon Bedrock in support of GDPR (right to be forgotten) requests

AWS Machine Learning

MAY 31, 2024

Amazon Bedrock is a fully managed service that makes foundational models (FMs) from leading artificial intelligence (AI) companies and Amazon available through an API, so you can choose from a wide range of FMs to find the model that’s best suited for your use case. Only users who have the logs: Unmask IAM permission can view unmasked data.

Best practices

Best practices APIs Accountability Personalization

Intelligent document processing with AWS AI and Analytics services in the insurance industry: Part 2

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

Analytics APIs Healthcare Big data

Promote feature discovery and reuse across your organization using Amazon SageMaker Feature Store and its feature-level metadata capability

AWS Machine Learning

AUGUST 3, 2022

For example, the information can include a description of the feature, the date it was last modified, its original data source, certain metrics, or the level of sensitivity. 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

APIs Engineering Entertainment Education

AWS Cloud technology for near-real-time cardiac anomaly detection using data from wearable devices

AWS Machine Learning

NOVEMBER 23, 2022

The COVID-19 pandemic made organizations change healthcare delivery to reduce staff contact with sick people and the overall pressure on the healthcare system. You can create and manage a Timestream database via the AWS Management Console , from the AWS Command Line Interface (AWS CLI), or via API calls. ECG data processing.

Technology

Technology Healthcare APIs Management

Move Amazon SageMaker Autopilot ML models from experimentation to production using Amazon SageMaker Pipelines

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

Scripts APIs Metrics Engineering

Best practices and lessons for fine-tuning Anthropic’s Claude 3 Haiku on Amazon Bedrock

AWS Machine Learning

NOVEMBER 1, 2024

We also provide insights on how to achieve optimal results for different dataset sizes and use cases, backed by experimental data and performance metrics. Tools and APIs – For example, when you need to teach Anthropic’s Claude 3 Haiku how to use your APIs well. We focus on the task of answering questions about the table.

Best practices

Best practices APIs Finance Engineering

Create a document lake using large-scale text extraction from documents with Amazon Textract

AWS Machine Learning

JANUARY 8, 2024

AWS customers in healthcare, financial services, the public sector, and other industries store billions of documents as images or PDFs in Amazon Simple Storage Service (Amazon S3). Amazon Textract, similar to other managed services, has a default limit on the APIs called transactions per second (TPS).

Scripts

Scripts Construction APIs Healthcare

Analyze and tag assets stored in Veeva Vault PromoMats using Amazon AppFlow and Amazon AI Services

AWS Machine Learning

JUNE 24, 2022

In a previous post , we talked about analyzing and tagging assets stored in Veeva Vault PromoMats using Amazon AI services and the Veeva Vault Platform’s APIs. Anomaly detection – You can share Veeva PromoMats documents to Amazon Lookout for Metrics for anomaly detection.

APIs

APIs Healthcare SaaS Engineering

Technology Innovation Institute trains the state-of-the-art Falcon LLM 40B foundation model on Amazon SageMaker

AWS Machine Learning

JUNE 7, 2023

LLM training on SageMaker SageMaker is a collection of managed APIs for developing, training, tuning, and hosting machine learning (ML) models, including LLMs. TII used transient clusters provided by the SageMaker Training API to train the Falcon LLM, up to 48 ml.p4d.24xlarge 24xlarge instances, cumulating in 384 NVIDIA A100 GPUs.

Technology

Technology APIs Engineering Education

Delight your customers with great conversational experiences via QnABot, a generative AI chatbot

AWS Machine Learning

AUGUST 15, 2024

Some responses need to be exact (for example, regulated industries like healthcare or capital markets), some responses need to be searched from large, indexed data sources and cited, and some answers need to be generated on the fly, conversationally, based on semantic context.

Chatbots

Chatbots Banking APIs Enterprise

Identify key insights from text documents through fine-tuning and HPO with Amazon SageMaker JumpStart

AWS Machine Learning

NOVEMBER 21, 2022

Organizations across industries such as retail, banking, finance, healthcare, manufacturing, and lending often have to deal with vast amounts of unstructured text documents coming from various sources, such as news, blogs, product reviews, customer support channels, and social media. Healthcare and life sciences. Fraud detection.

Scripts

Scripts Metrics APIs Healthcare

Foundational vision models and visual prompt engineering for autonomous driving applications

AWS Machine Learning

NOVEMBER 15, 2023

Although this post focuses on autonomous driving, the concepts discussed are applicable broadly to domains that have rich vision-based applications such as healthcare and life sciences, and media and entertainment. For example, we can use an API chain to call an API and invoke an LLM to answer the question based on the API response.

Engineering

Engineering APIs Automotive Entertainment

Time series forecasting with Amazon SageMaker AutoML

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

Metrics APIs Sales Accountability

Detect real and live users and deter bad actors using Amazon Rekognition Face Liveness

AWS Machine Learning

APRIL 11, 2023

Financial services, the gig economy, telco, healthcare, social networking, and other customers use face verification during online onboarding, step-up authentication, age-based access restriction, and bot detection. Amazon Rekognition Face Liveness cloud APIs are available in the US East (N.

APIs

APIs Accountability Government Healthcare

Reduce inference time for BERT models using neural architecture search and SageMaker Automated Model Tuning

AWS Machine Learning

JANUARY 19, 2024

Another example might be a healthcare provider who uses PLM inference endpoints for clinical document classification, named entity recognition from medical reports, medical chatbots, and patient risk stratification. The performance of the architecture is typically measured using metrics such as validation loss.

Metrics

Metrics Scripts Benchmark Enterprise

Deep demand forecasting with Amazon SageMaker

AWS Machine Learning

JUNE 28, 2022

Time series forecasting is useful in multiple fields, including retail, finance, logistics, and healthcare. Amazon Forecast is a time-series forecasting service based on machine learning (ML) and built for business metrics analysis. For HPO, we use the RRSE as the evaluation metric for all the three algorithms. LSTNet with HPO.

Metrics

Metrics Healthcare Transportation Accountability

Build a solution for a computer vision skin lesion classifier using Amazon SageMaker Pipelines

AWS Machine Learning

OCTOBER 13, 2022

AWS offers a pre-trained and fully managed AWS AI service called Amazon Rekognition that can be integrated into computer vision applications using API calls and require no ML experience. You just have to provide an image to the Amazon Rekognition API and it can identify the required objects according to pre-defined labels.

Healthcare

Healthcare APIs Automotive Consulting

How to make the most of a free survey program: 4 tips to know

delighted

DECEMBER 5, 2022

If you’re sending surveys to recipients who have strict email filters, like the healthcare industry, it can be helpful to prime your respondents for the incoming survey to make sure the email is top-of-mind. Prime your respondents. Most free survey programs don’t allow you to send from a custom email address. When is it time to upgrade?

Surveys

Surveys Feedback Best practices APIs

Patient Engagement Mobile Apps: On Guard of Health

CSM Magazine

MARCH 5, 2024

The global healthcare IT market is growing, poised to reach $1.8 As the number of smartphone users grows, so does its application in healthcare. A patient engagement mobile app has the potential to revolutionize healthcare delivery. Increased engagement: apps can make healthcare more engaging and interactive for patients.

Healthcare

Healthcare Education Gamification Consulting

Amazon Bedrock launches Session Management APIs for generative AI applications (Preview)

Build a multi-tenant generative AI environment for your enterprise on AWS

Trending Sources

Track LLM model evaluation using Amazon SageMaker managed MLflow and FMEval

Centralize model governance with SageMaker Model Registry Resource Access Manager sharing

Orchestrate an intelligent document processing workflow using tools in Amazon Bedrock

Build a reverse image search engine with Amazon Titan Multimodal Embeddings in Amazon Bedrock and AWS managed services

5 Challenges and Solutions for Developing Mental Health Apps

Philips accelerates development of AI-enabled healthcare solutions with an MLOps platform built on Amazon SageMaker

Evaluation of generative AI techniques for clinical report summarization

2022H2 Amazon Textract launch summary

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

Automatically generate impressions from findings in radiology reports using generative AI on AWS

GenASL: Generative AI-powered American Sign Language avatars

Fine-tune Anthropic’s Claude 3 Haiku in Amazon Bedrock to boost model accuracy and quality

Reduce conversational AI response time through inference at the edge with AWS Local Zones

Build a medical imaging AI inference pipeline with MONAI Deploy on AWS

Making Businesses Better: Introducing New VirtualPBX Case Studies

Optimize pet profiles for Purina’s Petfinder application using Amazon Rekognition Custom Labels and AWS Step Functions

Pre-training genomic language models using AWS HealthOmics and Amazon SageMaker

Revolutionizing large language model training with Arcee and AWS Trainium

Create a Generative AI Gateway to allow secure and compliant consumption of foundation models

How Earth.com and Provectus implemented their MLOps Infrastructure with Amazon SageMaker

Build a news recommender application with Amazon Personalize

Few-shot prompt engineering and fine-tuning for LLMs in Amazon Bedrock

Best practices for building robust generative AI applications with Amazon Bedrock Agents – Part 1

Implementing Knowledge Bases for Amazon Bedrock in support of GDPR (right to be forgotten) requests

Intelligent document processing with AWS AI and Analytics services in the insurance industry: Part 2

Promote feature discovery and reuse across your organization using Amazon SageMaker Feature Store and its feature-level metadata capability

AWS Cloud technology for near-real-time cardiac anomaly detection using data from wearable devices

Move Amazon SageMaker Autopilot ML models from experimentation to production using Amazon SageMaker Pipelines

Best practices and lessons for fine-tuning Anthropic’s Claude 3 Haiku on Amazon Bedrock

Create a document lake using large-scale text extraction from documents with Amazon Textract

Analyze and tag assets stored in Veeva Vault PromoMats using Amazon AppFlow and Amazon AI Services

Technology Innovation Institute trains the state-of-the-art Falcon LLM 40B foundation model on Amazon SageMaker

Delight your customers with great conversational experiences via QnABot, a generative AI chatbot

Identify key insights from text documents through fine-tuning and HPO with Amazon SageMaker JumpStart

Foundational vision models and visual prompt engineering for autonomous driving applications

Time series forecasting with Amazon SageMaker AutoML

Detect real and live users and deter bad actors using Amazon Rekognition Face Liveness

Reduce inference time for BERT models using neural architecture search and SageMaker Automated Model Tuning

Deep demand forecasting with Amazon SageMaker

Build a solution for a computer vision skin lesion classifier using Amazon SageMaker Pipelines

How to make the most of a free survey program: 4 tips to know

Patient Engagement Mobile Apps: On Guard of Health

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