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

AWS Machine Learning

It has applications in areas where data is multi-modal such as ecommerce, where data contains text in the form of metadata as well as images, or in healthcare, where data could contain MRIs or CT scans along with doctor’s notes and diagnoses, to name a few use cases.

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Personalize your generative AI applications with Amazon SageMaker Feature Store

AWS Machine Learning

Large language models (LLMs) are revolutionizing fields like search engines, natural language processing (NLP), healthcare, robotics, and code generation. This movie is a masterclass in storytelling, with a deep sense of history and culture that will transport you to Middle-earth and leave you wanting more.

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

AWS Machine Learning

Conversely, the data in your model may be extremely sensitive and highly regulated, so deviation from AWS Key Management Service (AWS KMS) customer managed key (CMK) rotation and use of AWS Network Firewall to help enforce Transport Layer Security (TLS) for ingress and egress traffic to protect against data exfiltration may be an unacceptable risk.

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Business Areas for Which Cloud Technology Is Especially Relevant

CSM Magazine

In addition, high competition in the market forces retailers to constantly take care of customer loyalty: improving mobile applications and ensuring flawless site operation, supporting chatbots to collect feedback, creating personalized loyalty programs, and conducting business analytics. Big Data for retail is a powerful and useful tool.