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Personalize your generative AI applications with Amazon SageMaker Feature Store

AWS Machine Learning

The personalization of LLM applications can be achieved by incorporating up-to-date user information, which typically involves integrating several components. In this post, we elucidate the simple yet powerful idea of combining user profiles and item attributes to generate personalized content recommendations using LLMs.

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Centralize model governance with SageMaker Model Registry Resource Access Manager sharing

AWS Machine Learning

Model owner : Person or entity who owns the model. He is passionate about building secure and scalable AI/ML and big data solutions to help enterprise customers with their cloud adoption and optimization journey to improve their business outcomes. Use case stage: Current stage of the use case.

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What Came First COVID-19 or Poor Customer Service?

CSM Magazine

Thanks to Natural Language Processing (NLP), AI assistants quickly understand a customer’s initial query then pass this valuable intelligence along to the live agent who already knows what the person is calling about. In one go, it boosts agent confidence and sees customer satisfaction levels soar.

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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.

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Digital disruption in insurance – why it is all about service

Eptica

From publishing to retail to transportation, new entrants have shaken up mature markets, and unseated existing leaders through innovative business models. Use self-service to enable consumers to find answers to routine questions on your website and implement chat to provide fast, personal service online.

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AI and Live Chat: A Winning Combination

CSM Magazine

Customers expect immediate results but they also crave the personal touch. Virtual concierge for agents – with many frontline staff working from home, AI solutions are an agent’s new best friend, offering them their very own virtual concierge or dedicated personal assistant. Abbie Heslop of EBI.AI

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Demystifying machine learning at the edge through real use cases

AWS Machine Learning

Edge is a term that refers to a location, far from the cloud or a big data center, where you have a computer device (edge device) capable of running (edge) applications. If a person enters this area by mistake, a safety mechanism is activated to stop the machines and protect the human. Edge computing. Use case 4.