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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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11 ways to use AI in healthcare in 2023

BirdEye

The past few years have seen a tremendous increase in digitalization in the healthcare industry. The use of Artificial Intelligence (AI) in healthcare industries helps businesses streamline patient management, sales processes, appointments, and improve overall patient experience. Table of contents What is AI in healthcare?

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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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Honor Your Customers’ Time and Their Clock

Customer Bliss

In my Daily Dose video series, I explore the topics that chief customer officers must grapple with on a daily basis. No, of course not, but building in that four-hour window for companies makes it easier on the organization to schedule, but it says to your customer, “Our time and our priorities matter more than yours.”

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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.