Remove customers memorial-healthcare-system
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5 Surprising Rules to Live By When Managing Customer Memories

Beyond Philosophy

Customer Memories are a fascinating subject. In many ways, they are what your Customer Experience is, at least from the customers’ perspective, which we also discussed on a recent podcast. They are certainly the most critical element of your customer loyalty. Emotions create memories.

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Large language model inference over confidential data using AWS Nitro Enclaves

AWS Machine Learning

Leidos is a Fortune 500 science and technology solutions leader working to address some of the world’s toughest challenges in the defense, intelligence, homeland security, civil, and healthcare markets. In our example use case, an LLM service is designed to answer employee healthcare benefit questions or provide a personal retirement plan.

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Amazon SageMaker model parallel library now accelerates PyTorch FSDP workloads by up to 20%

AWS Machine Learning

Customers are now pre-training and fine-tuning LLMs ranging from 1 billion to over 175 billion parameters to optimize model performance for applications across industries, from healthcare to finance and marketing. This smaller memory footprint allows you to fit a larger model into your cluster or increase the batch size.

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For Interpreting in Healthcare, the Future Is Here: And It’s Insourcing [Part 3]

Certified Languages International

While change can cause uncertainty, it can also be a time ripe for rethinking how we can innovate language services in healthcare. Healthcare has certainly had to pivot to address the millions of layoffs, cutbacks, and furloughs suffered at the hand of the coronavirus. hospitals and health systems lost an estimated $202.6

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Generative AI and multi-modal agents in AWS: The key to unlocking new value in financial markets

AWS Machine Learning

Multi-modal data is a valuable component of the financial industry, encompassing market, economic, customer, news and social media, and risk data. Multi-modal agents are AI systems that can understand and analyze data in multiple modalities using the right tools in their toolkit.

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Transform, analyze, and discover insights from unstructured healthcare data using Amazon HealthLake

AWS Machine Learning

Healthcare data is complex and siloed, and exists in various formats. This data is difficult to interpret or analyze programmatically and limits how organizations can derive insights from it and serve their customers more effectively. We create a custom process for FHIR conversion and test it end to end.

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Secure communications for the medical sector

Spearline

To the majority of individuals the humble fax (facsimile) machine is now a distant memory and for younger generations, it is a memento of years gone by and a technology that they are unlikely to encounter in the future. System disconnect: A disconnect between systems is also a major proponent for the continued use of fax in this sector.