Remove 2024 Remove Accountability Remove APIs Remove Personalization
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Knowledge Bases for Amazon Bedrock now supports hybrid search

AWS Machine Learning

Personalized search – Web-scale search over heterogeneous content benefits from a hybrid approach. Use hybrid search and semantic search options via SDK When you call the Retrieve API, Knowledge Bases for Amazon Bedrock selects the right search strategy for you to give you most relevant results.

APIs 107
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Philips accelerates development of AI-enabled healthcare solutions with an MLOps platform built on Amazon SageMaker

AWS Machine Learning

It partners with healthcare providers, startups, universities, and other companies to develop technology that helps doctors make more precise diagnoses and deliver more personalized treatment for millions of people worldwide. However, innovation was hampered due to using fragmented AI development environments across teams.

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Mixtral 8x22B is now available in Amazon SageMaker JumpStart

AWS Machine Learning

Compliance frameworks like General Data Protection Regulation (GDPR) and California Consumer Privacy Act (CCPA), Health Insurance Portability and Accountability Act (HIPAA), and Payment Card Industry Data Security Standard (PCI DSS) are supported to make sure data handling, storing, and process meet stringent security standards.

APIs 90
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Build private and secure enterprise generative AI apps with Amazon Q Business and AWS IAM Identity Center

AWS Machine Learning

As of April 30, 2024 Amazon Q Business is generally available. The sample use case in this post uses an IAM Identity Center account instance with its identity source configured as Okta, which is used as the IdP. There are two types of IAM Identity Center instances: an organization instance and an account instance.

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Your guide to generative AI and ML at AWS re:Invent 2023

AWS Machine Learning

If you’re new to re:Invent, you can attend sessions of the following types: Keynotes – Join in person or virtually and learn about all the exciting announcements. With generative AI, it is possible to hyper-personalize targeted recommendations for shopping and streaming. Reserve your seat now! or “Because you watched.”

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Get started with Amazon Titan Text Embeddings V2: A new state-of-the-art embeddings model on Amazon Bedrock

AWS Machine Learning

Embeddings also play a key role in personalization and recommendation systems by representing user preferences, item characteristics, and historical interactions as vectors, allowing calculation of similarities for personalized recommendations based on user behavior and item embeddings. V1): 1,030 * ($0.1 – $0.02) = $82.4

Benchmark 101
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Enable data sharing through federated learning: A policy approach for chief digital officers

AWS Machine Learning

In Dr. Werner Vogels’s own words at AWS re:Invent 2023 , “every second that a person has a stroke counts.” There are multiple challenges when working with medical domain datasets and building ML solutions, including patient privacy, security of personal data, and certain bureaucratic and policy restrictions.