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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! Healthcare Call Center’s 30th Annual Conference: June 13-15, Pittsburgh, PA. and Now What?’ of quality monitoring.

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Face-off Probability, part of NHL Edge IQ: Predicting face-off winners in real time during televised games

AWS Machine Learning

To make an informed decision, we performed a series of benchmarks to verify SageMaker latency and scalability, and validated that average latency was less than 100 milliseconds under the load, which was within our expectations. Media Application Architect with 25+ years of experience, with focus on Media and Entertainment.

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FMOps/LLMOps: Operationalize generative AI and differences with MLOps

AWS Machine Learning

The final outcome will be aggregated results that combine the scores of all the outputs (calculate the average precision or human rating) and allow the users to benchmark the quality of the models. After the evaluation results have been collected, we propose choosing a model based on several dimensions.

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Federated Learning on AWS with FedML: Health analytics without sharing sensitive data – Part 2

AWS Machine Learning

Analyzing real-world healthcare and life sciences (HCLS) data poses several practical challenges, such as distributed data silos, lack of sufficient data at a single site for rare events, regulatory guidelines that prohibit data sharing, infrastructure requirement, and cost incurred in creating a centralized data repository. Reference. [1]

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Fine-tune Llama 2 for text generation on Amazon SageMaker JumpStart

AWS Machine Learning

Despite the great generalization capabilities of these models, there are often use cases that have very specific domain data (such as healthcare or financial services), because of which these models may not be able to provide good results for these use cases.