AWS Machine Learning

JANUARY 26, 2024

Generative artificial intelligence (AI) applications built around large language models (LLMs) have demonstrated the potential to create and accelerate economic value for businesses. Many customers are looking for guidance on how to manage security, privacy, and compliance as they develop generative AI applications.

Best practices 122

Best practices Government Engineering Accountability 122

AWS Machine Learning

MARCH 15, 2024

This is a guest blog post written by Nitin Kumar, a Lead Data Scientist at T and T Consulting Services, Inc. In this post, we discuss the value and potential impact of federated learning in the healthcare field. So why hasn’t it been used yet? Stroke victims can lose around 1.9

Healthcare 98

Healthcare Government Best practices Engineering 98

AWS Machine Learning

MARCH 14, 2024

Generative AI applications driven by foundational models (FMs) are enabling organizations with significant business value in customer experience, productivity, process optimization, and innovations. In this post, we explore different approaches you can take when building applications that use generative AI.

Best practices 105

Best practices Engineering Chatbots Enterprise 105

AWS Machine Learning

NOVEMBER 22, 2023

Yes, the AWS re:Invent season is upon us and as always, the place to be is Las Vegas! Now all you need is some guidance on generative AI and machine learning (ML) sessions to attend at this twelfth edition of re:Invent. And although generative AI has appeared in previous events, this year we’re taking it to the next level.

Engineering 110

Engineering Best practices APIs Government 110

Balto

JANUARY 22, 2024

The advancements in Generative Artificial Intelligence (Generative AI) have dominated the headlines and social media discussions throughout 2023, and for good reason. We’ve seen generative AI being applied in different industries with great results, specifically in the contact center domain. What Is Generative AI?

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Contact Center Coaching Average Handle Time Scripts 52

AWS Machine Learning

SEPTEMBER 9, 2022

This is a guest blog post cowritten with athenahealth. In the artificial intelligence (AI) space, athenahealth uses data science and machine learning (ML) to accelerate business processes and provide recommendations, predictions, and insights across multiple services. Amazon CloudWatch for persistent log management.

Engineering 76

Engineering Healthcare APIs Scripts 76

AWS Machine Learning

APRIL 19, 2023

Businesses are increasingly using machine learning (ML) to make near-real-time decisions, such as placing an ad, assigning a driver, recommending a product, or even dynamically pricing products and services.

Engineering 77

Engineering Analytics APIs Enterprise 77