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 104

Healthcare Engineering APIs Benchmark 104

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. In this post, we presented two text classification approaches for online conversations using AWS ML services. AP=0.850, AUC=0.851. AP=0.913, AUC=0.913.

Metrics 73

Metrics Telecommunications APIs Benchmark 73

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 105

Engineering Accountability Construction APIs 105

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 74

Engineering APIs Healthcare SaaS 74

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 98

APIs Government Enterprise Engineering 98

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 91

Scripts Construction APIs Healthcare 91

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 72

Technology Healthcare APIs Management 72

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. The features are presented in a table that includes the feature name, type, description, parameters, date of creation, and associated feature group’s name.

APIs 81

APIs Engineering Entertainment Education 81

AWS Machine Learning

FEBRUARY 5, 2024

In this post, we present one approach for zoonotic disease prevention that uses Amazon SageMaker geospatial capabilities to create a tool that provides more accurate disease spread information to health scientists to help them save more lives, quicker. set_index('metric')['weight'].to_dict() min()) / (layer['raw_idx'].max()

Healthcare 85

Healthcare Engineering Analytics APIs 85

AWS Machine Learning

SEPTEMBER 8, 2023

In the following sections, we present the key challenges associated with developing robust and efficient models for anomaly detection related to wood utility poles. Next, we present the key metrics used for evaluating the model performance along with the evaluation of our final models.

Government 86

Government Metrics Analytics Technology 86

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. Solution overview In this section, we present the overall workflow and explain the approach.

Metrics 99

Metrics Scripts Benchmark Enterprise 99

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

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 75

Engineering Healthcare APIs Scripts 75

OctopusTech

SEPTEMBER 29, 2022

While there is a considerable difference between different software depending on the scope and usage, there are still certain common features that are present in all customer service management software. With this, a call center can accurately measure its metrics and can have access to a client’s data when a query is generated.

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. The company is presently working on incubation cells, gaming certificates, and setting up a variety of gaming cafes. Companies can create content that increases conversions and dialogues by using the tool’s metrics.

SaaS 11

SaaS Finance CRM Analytics 11

AWS Machine Learning

NOVEMBER 1, 2023

However, like other nascent technologies, obstacles remain in managing model intricacy, harmonizing diverse modalities, and formulating uniform evaluation metrics. The TGI framework underpins the model inference layer, providing RESTful APIs for robust integration and effortless accessibility.

APIs 94

APIs Engineering Construction Scripts 94