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The Impact of Conversational AI on Healthcare Outcomes and Patient Satisfaction

JustCall

The digital revolution has left an imprint on the healthcare industry as well. As a result, we are witnessing the technological integration of Big Data, Artificial Intelligence, Machine Learning, the Internet of Things, etc., with healthcare. with healthcare. What is Conversational AI in Healthcare?

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Promote pipelines in a multi-environment setup using Amazon SageMaker Model Registry, HashiCorp Terraform, GitHub, and Jenkins CI/CD

AWS Machine Learning

Central model registry – Amazon SageMaker Model Registry is set up in a separate AWS account to track model versions generated across the dev and prod environments. Approve the model in SageMaker Model Registry in the central model registry account. Create a pull request to merge the code into the main branch of the GitHub repository.

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Automate caption creation and search for images at enterprise scale using generative AI and Amazon Kendra

AWS Machine Learning

We demonstrate CDE using simple examples and provide a step-by-step guide for you to experience CDE in an Amazon Kendra index in your own AWS account. This has several industry use cases, ranging from healthcare and life sciences, retail and ecommerce, digital asset platforms, and media.

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Harnessing the Power of Data to Improve First Contact Resolution

The Northridge Group

Authored by Daniel Fenton , Director, Enterprise Accounts and Molly Clark , Senior Director, Operational Analytics. Leveraging data analytics to improve FCR rates is critical for achieving this objective. Such companies must make it a priority to improve customer experience and reduce customer churn.

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Predict football punt and kickoff return yards with fat-tailed distribution using GluonTS

AWS Machine Learning

The player data was used to derive features for model development: X – Player position along the long axis of the field Y – Player position along the short axis of the field S – Speed in yards/second; replaced by Dis*10 to make it more accurate (Dis is the distance in the past 0.1

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Federated learning on AWS using FedML, Amazon EKS, and Amazon SageMaker

AWS Machine Learning

However, the sharing of raw, non-sanitized sensitive information across different locations poses significant security and privacy risks, especially in regulated industries such as healthcare. Limiting the available data sources to protect privacy negatively affects result accuracy and, ultimately, the quality of patient care.

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Architect defense-in-depth security for generative AI applications using the OWASP Top 10 for LLMs

AWS Machine Learning

In addition to awareness, your teams should take action to account for generative AI in governance, assurance, and compliance validation practices. You should begin by extending your existing security, assurance, compliance, and development programs to account for generative AI.