Comm100

NOVEMBER 5, 2020

Some industries like banking and healthcare have especially strict rules, but every organization is liable should a preventable leak occur. A SaaS company is considered a service organization too. It just provides software as a service (SaaS). For industries like banking and healthcare, this is especially critical.

Healthcare 40

Healthcare Banking SaaS Accountability 40

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. With Security Lake, you can get a more complete understanding of your security data across your entire organization.

Best practices 121

Best practices Government Engineering Accountability 121

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. You can then use your custom model via the Rekognition Custom Labels API and integrate it into your applications. Assembling training data and training a Rekognition Custom Labels model.

Engineering 74

Engineering APIs Healthcare SaaS 74

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. Additionally, SaaS providers need scalable and cost-effective ways to serve hundreds of models to their customers.

Engineering 108

Engineering Best practices APIs Government 108

AWS Machine Learning

MARCH 4, 2024

Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies, such as AI21 Labs, Anthropic, Cohere, Meta, Stability AI, and Amazon via a single API, along with a broad set of capabilities you need to build generative AI applications with security, privacy, and responsible AI.

Feedback 100

Feedback APIs Engineering Surveys 100

AWS Machine Learning

MARCH 28, 2024

medium instance to demonstrate deploying LLMs via SageMaker JumpStart, which can be accessed through a SageMaker-generated API endpoint. You can request service quota increases through the console, AWS Command Line Interface (AWS CLI), or API to allow access to those additional resources. We use an ml.t3.medium

Telecommunications 110

Telecommunications Healthcare Transportation Accountability 110

AWS Machine Learning

MARCH 9, 2023

Hundreds of software as a service (SaaS) applications are being developed around these pre-trained models, which are either directly served to end-customers, or fine-tuned first on a per-customer basis to generate personal and unique content (such as avatars, stylized photo edits, video game assets, domain-specific text, and more).

SaaS 80

SaaS Personalization APIs Best practices 80

AWS Machine Learning

JANUARY 9, 2023

Example workloads for asynchronous inference include healthcare companies processing high-resolution biomedical images or videos like echocardiograms to detect anomalies. For a real world use case of MMEs, refer to How to scale machine learning inference for multi-tenant SaaS use cases. Fitness function. Description.

Metrics 73

Metrics Best practices Engineering Management 73