Remove Accountability Remove Analysis Remove Scripts
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Accelerate digital pathology slide annotation workflows on AWS using H-optimus-0

AWS Machine Learning

The power of FMs lies in their ability to learn robust and generalizable data embeddings that can be effectively transferred and fine-tuned for a wide variety of downstream tasks, ranging from automated disease detection and tissue characterization to quantitative biomarker analysis and pathological subtyping.

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How to Make or Break Your Customer Experience

Beyond Philosophy

Let’s say your IT system requires getting your email address for every customer to access the details of the account. When you are frustrated, stressed, and upset, how do you feel about entering your account number followed by the pound sign? In many cases, they will also use a Call Center script. Let me give you an example.

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How to Write an After-Call Survey Script

Fonolo

The value is in the timing—customers will give the most accurate accounts of their service experiences shortly after they’ve happened. You might have a carefully crafted questionnaire or script for your after-call survey. Consistent questions are easier for analysis, but that doesn’t mean you can’t personalize them.

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Governing the ML lifecycle at scale, Part 3: Setting up data governance at scale

AWS Machine Learning

Challenges in data management Traditionally, managing and governing data across multiple systems involved tedious manual processes, custom scripts, and disconnected tools. The diagram shows several accounts and personas as part of the overall infrastructure. The following diagram gives a high-level illustration of the use case.

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6 Killer Applications for Artificial Intelligence in the Customer Engagement Contact Center

If Artificial Intelligence for businesses is a red-hot topic in C-suites, AI for customer engagement and contact center customer service is white hot. This white paper covers specific areas in this domain that offer potential for transformational ROI, and a fast, zero-risk way to innovate with AI.

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Benchmarking Amazon Nova and GPT-4o models with FloTorch

AWS Machine Learning

script provided with the CRAG benchmark for accuracy evaluations. The script was enhanced to provide proper categorization of correct, incorrect, and missing responses. The default GPT-4o evaluation LLM in the evaluation script was replaced with the mixtral-8x7b-instruct-v0:1 model API.

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Configure an AWS DeepRacer environment for training and log analysis using the AWS CDK

AWS Machine Learning

In this post, we enable the provisioning of different components required for performing log analysis using Amazon SageMaker on AWS DeepRacer via AWS CDK constructs. This is where advanced log analysis comes into play. Make sure you have the credentials and permissions to deploy the AWS CDK stack into your account.

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