Analysis APIs Best practices Healthcare 
AWS Machine Learning
FEBRUARY 13, 2023
With the increasing use of artificial intelligence (AI) and machine learning (ML) for a vast majority of industries (ranging from healthcare to insurance, from manufacturing to marketing), the primary focus shifts to efficiency when building and training models at scale. This is where advanced log analysis comes into play.
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. Power up your analysis. A common misconception is that free survey platforms don’t have powerful survey analysis features.
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AWS Machine Learning
JANUARY 26, 2024
The goal of this post is to empower AI and machine learning (ML) engineers, data scientists, solutions architects, security teams, and other stakeholders to have a common mental model and framework to apply security best practices, allowing AI/ML teams to move fast without trading off security for speed.
AWS Machine Learning
OCTOBER 13, 2022
Fully managed image and video analysis services have also accelerated the adoption of Computer vision solutions. 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.
Avaya
NOVEMBER 16, 2016
Open APIs: An open API model is advantageous in that it allows developers outside of companies to easily access and use APIs to create breakthrough innovations. At the same time, however, publicly available APIs are also exposed ones. Healthcare, for example, must abide by very strict regulations.
AWS Machine Learning
MARCH 14, 2024
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, Mistral AI, Stability AI, and Amazon via a single API. This is because such tasks require organization-specific data and workflows that typically need custom programming.
AWS Machine Learning
NOVEMBER 22, 2022
During this iterative improvement phase, the challenging part—true for all ML projects—is that the current iteration depends on the previous iteration’s key findings and insights, so rigorous analysis and reporting is key for success. Analysis can be done quantitatively and empirically. Conclusion.
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