Remove Best practices Remove Big data Remove Entertainment Remove Personalization
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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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How Amp on Amazon used data to increase customer engagement, Part 2: Building a personalized show recommendation platform using Amazon SageMaker

AWS Machine Learning

Amp uses machine learning (ML) to provide personalized recommendations for live and upcoming Amp shows on the app’s home page. Affinities are computed either implicitly from the user’s behavioral data or explicitly from topics of interest (such as pop music, baseball, or politics) as provided in their user profiles. Conclusion.

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Gone Virtual: Recap of the CETX Conference

Callminer

While it may not have been our typical, in-person experience filled with cocktail hours and outdoor activities, there was no shortage of entertainment and powerful and engaging insight from the customer experience (CX) and contact center industry’s most influential leaders, and hands-on practitioners.

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How Amp on Amazon used data to increase customer engagement, Part 1: Building a data analytics platform

AWS Machine Learning

Amp wanted a scalable data and analytics platform to enable easy access to data and perform machine leaning (ML) experiments for live audio transcription, content moderation, feature engineering, and a personal show recommendation service, and to inspect or measure business KPIs and metrics. Data Engineer for Amp on Amazon.

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

AWS Machine Learning

He has over 11 years of experience in developing and leading data science, machine learning, and big data initiatives. Currently he is helping enterprise customers modernizing their AI/ML workloads within the cloud using industry best practices. Tanvi Singhal is a Data Scientist within AWS Professional Services.

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Contact Center and CX Expos Conferences and Summits – June 2018

Taylor Reach Group

The SWPP Annual Conference will provide multiple educational sessions, facilitated discussions on relevant topics, and a vendor showroom, as well as great food, exciting entertainment, and spectacular fun! Big Data & Analytics for Retail Summit : June 6-7, Chicago, IL. Is it possible to achieve churn reduction?

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Revolutionizing Communication: Unleashing the Power of the Best Artificial Intelligence Chatbots

SmartKarrot

They can be customized to match a business’s brand voice and personality, and deployed on various platforms like websites, messaging apps, and voice assistants. AI chatbots offer a cost-effective way to automate tasks, streamline communication, and provide a personalized user experience , making them a popular tool for businesses.