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 92

APIs Metrics Consulting Consulting 92

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 78

Personalization APIs Engineering Metrics 78

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 74

Analytics APIs Healthcare Big data 74

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 71

APIs Healthcare SaaS Engineering 71

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 76

Scripts APIs Metrics Engineering 76

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 70

Scripts Metrics APIs Healthcare 70

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 76

APIs Accountability Government Healthcare 76

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 88

Engineering APIs Automotive Entertainment 88

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 69

Healthcare APIs Automotive Consulting 69

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 91

Surveys Feedback Best practices APIs 91

AWS Machine Learning

DECEMBER 21, 2022

A new optional parameter TableFormat can be set either interactively using Amazon SageMaker Studio or through code using the API or the SDK. The following code snippet shows you how to create a feature group using the Iceberg format and FeatureGroup.create API of the SageMaker SDK. You can also use the FeatureGroup().put_record

Scripts 72

Scripts Engineering APIs Big data 72

SharpenCX

JULY 6, 2022

When your contact center platform takes advantage of Open APIs, making connections with other tools is a breeze. Lastly, in order to show your contact center’s positive impact on the financial health of the business, it’s imperative you keep close tabs on your call center’s metrics so you can prove ROI to your company’s leadership.

Contact Center 76

Contact Center Self service Chatbots Call Center 76

AWS Machine Learning

NOVEMBER 22, 2022

The solution improved the manual forecast by an average of 10% in regards to the WAPE metric. The quantitative aspect refers to evaluation during the backtesting and comparing the accuracy metric, such as WAPE. You can try to run multiple Forecast experiments via the Forecast console or with Python notebooks with Forecast APIs.

Sales 79

Sales Metrics APIs Healthcare 79

AWS Machine Learning

SEPTEMBER 1, 2023

In this scenario, the generative AI application, designed by the consumer, must interact with the fine-tuner backend via APIs to deliver this functionality to the end-users. If an organization has no AI/ML experts in their team, then an API service might be better suited for them. 15K available FM reference Step 1.

Engineering 100

Engineering Accountability Construction APIs 100

AWS Machine Learning

JUNE 29, 2022

This necessitates the requirement for a fully managed service that can be integrated into applications using API calls without the need for extensive machine learning (ML) expertise. Over time, various NLP techniques for text analysis have also evolved. sentences) 'eval-batch-size': 1024, # Evaluation batch size (No. About the Authors.

Metrics 72

Metrics Telecommunications APIs Benchmark 72

AWS Machine Learning

OCTOBER 5, 2022

The decision tree provided the cut-offs for each metric, which we included as rules-based logic in the streaming application. At the end, we found that the LightGBM model worked best with well-calibrated accuracy metrics. To evaluate the performance of the models, we used multiple techniques.

Calibration 90

Calibration Engineering Automotive Analytics 90

AWS Machine Learning

JANUARY 26, 2024

This is backed by our deep set of over 300 cloud security tools and the trust of our millions of customers, including the most security-sensitive organizations like government, healthcare, and financial services.

Best practices 120

Best practices Government Engineering Accountability 120

AWS Machine Learning

SEPTEMBER 6, 2022

In a healthcare environment, you can use audio event detection to passively listen for sounds from a patient that indicate an acute health problem. 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.

Engineering 73

Engineering APIs Healthcare SaaS 73

SmartAction

MAY 6, 2019

Data exchange to read and record data is a critical piece of AI automation implementation, and is generally setup via web services, APIs, or FTP file transfer. A great example is in the healthcare space , specifically around Explanation of Benefits documents. Virtual Agents Offer Predictive Personalization.

Self service 44

Self service Virtual Agent Best practices Contact Center 44

SmartAction

MAY 6, 2019

Data exchange to read and record data is a critical piece of AI automation implementation, and is generally setup via web services, APIs, or FTP file transfer. A great example is in the healthcare space , specifically around Explanation of Benefits documents. Virtual Agents Offer Predictive Personalization.

Self service 40

Self service Virtual Agent Best practices Contact Center 40

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 94

APIs Government Enterprise Engineering 94

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 86

Scripts Construction APIs Healthcare 86

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 92

Engineering APIs Scripts Entertainment 92

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 85

APIs Banking Real estate Healthcare 85

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 71

Technology Healthcare APIs Management 71

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 79

APIs Engineering Entertainment Education 79

Cincom

MAY 3, 2024

Healthcare: Build patient estimates and bills pulling accurate medical codes and health plan details automatically from connected systems. Our Eloquence software enables easy connectivity through pre-built integrations and customizable APIs to link templates to any enterprise data source.

Enterprise 40

Enterprise CRM APIs Customer retention 40

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 94

Metrics Scripts Benchmark Enterprise 94

AWS Machine Learning

FEBRUARY 5, 2024

For Gideon, the data can be accessed through an API, and for the WHO, HSR.health has built a large language model (LLM) to mine outbreak data from past disease outbreak reports. set_index('metric')['weight'].to_dict() This data serves as a fundamental pillar in the analytics framework. min()) / (layer['raw_idx'].max() min()) * 100).round(2)

Healthcare 81

Healthcare Engineering Analytics APIs 81

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 89

Technology APIs Engineering Education 89

AWS Machine Learning

JUNE 6, 2023

Solution overview To demonstrate the new functionality, we work with two datasets: leads and web marketing metrics. These datasets can be used to build a model that predicts if a lead will convert into a sale given marketing activities and metrics captured for that lead. The following screenshot shows an example of this data.

APIs 77

APIs Metrics Telecommunications Marketing 77

AWS Machine Learning

NOVEMBER 22, 2023

In this innovation talk, hear how the largest industries, from healthcare and financial services to automotive and media and entertainment, are using generative AI to drive outcomes for their customers. See demos on how to build analytics dashboards and integrations between LLMs and Amazon QuickSight to visualize your key metrics.

Engineering 108

Engineering Best practices APIs Government 108

AWS Machine Learning

SEPTEMBER 8, 2023

Next, we present the key metrics used for evaluating the model performance along with the evaluation of our final models. Training the model is as a simple as a single API (Application programming interface) call or console button click and L4V takes care of model selection and hyperparameter tuning under the hood. Dr. Nkechinyere N.

Government 82

Government Metrics Analytics Technology 82

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 75

Metrics Healthcare Accountability Transportation 75

AWS Machine Learning

SEPTEMBER 9, 2022

Example components of the standardized tooling include a data ingestion API, security scanning tools, the CI/CD pipeline built and maintained by another team within athenahealth, and a common serving platform built and maintained by the MLOps team. We then use Kibana and the Grafana UI for searching and filtering logs and metrics.

Engineering 74

Engineering Healthcare APIs Scripts 74

OctopusTech

SEPTEMBER 29, 2022

With this, a call center can accurately measure its metrics and can have access to a client’s data when a query is generated. For example – With help desk software, you can proactively chat or help shoppers in completing their checkout process or use monitoring tools to identify the metrics. Smaller teams can work speedily.

Customer Service 62

Customer Service CRM Self service Analytics 62

SmartKarrot

JANUARY 18, 2022

Indian SaaS enterprises deal with a wide variety of clients across finance, education, healthcare, and wellness. Companies can create content that increases conversions and dialogues by using the tool’s metrics. Plivo provides a voice API platform that integrates voice calling functionality with applications. Conclusion.

SaaS 11

SaaS Finance CRM Analytics 11