AWS Machine Learning

AUGUST 2, 2024

Investors and analysts closely watch key metrics like revenue growth, earnings per share, margins, cash flow, and projections to assess performance against peers and industry trends. Traditionally, earnings call scripts have followed similar templates, making it a repeatable task to generate them from scratch each time.

Engineering 113

Engineering Scripts Metrics APIs 113

REVE Chat Blog

FEBRUARY 5, 2020

An example of poor customer service not only worsens the existing customer relationships but also endangers the potential opportunities, and obviously erodes the bottom line of your business. Overuse of scripts to respond to customers. Top reasons for bad customer service examples (and how to fix them). How to fix?

Customer Service 93

Customer Service Scripts Airlines Chatbots 93

Callminer

APRIL 24, 2020

Focus on the Metrics that Matter Most. Keeping track of call metrics and agent KPIs is a good way of maintaining a high level of performance in the call center. However, you should be careful not to measure too much so you don’t end up drowning in metrics and data. Call Center Metrics Guide.

Best practices 182

Best practices Call Center Coaching Schedule adherence 182

Callminer

APRIL 21, 2020

Call center managers may be involved with hiring and training call center agents , monitoring call center metrics tied to agent performance , using speech analytics tools for ongoing quality monitoring , providing ongoing feedback and coaching, and more. Good scripting can lessen the amount of decision making, but another way to counteract.

Call Center 182

Call Center Management Scripts Coaching 182

GetFeedback

AUGUST 14, 2019

Measuring just a piece of this journey can seem short-sighted or not as powerful as other CX metrics, like Net Promoter Score (NPS). CX shouldn’t ever be measured by one metric alone. Customers and their experiences are complex and nuanced, so there’s no perfect metric. See the example below. FREE TOOL: CSAT CALCULATOR

Metrics 109

Metrics Journey mapping Surveys Coaching 109

Fonolo

MARCH 16, 2023

But without the contact center KPIs and metrics that managers use to measure the effectiveness of their operations, you’d never know for sure. We asked contact center industry influencers to share their insights into the changing role of KPIs and shine a light on new metrics to watch. KPIs matter. And they’re changing quickly.

Contact Center 151

Contact Center Average Handle Time First call resolution Metrics 151

AWS Machine Learning

FEBRUARY 29, 2024

The framework code and examples presented here only cover model training pipelines, but can be readily extended to batch inference pipelines as well. You can then iterate on preprocessing, training, and evaluation scripts, as well as configuration choices. script is used by pipeline_service.py The model_unit.py

Scripts 101

Scripts Engineering Metrics Best practices 101

AWS Machine Learning

OCTOBER 28, 2024

Examples include financial systems processing transaction data streams, recommendation engines processing user activity data, and computer vision models processing video frames. For example, the pre-built image requires one inference payload per inference invocation (request to a SageMaker endpoint).

Scripts 89

Scripts Metrics Engineering Analytics 89

AWS Machine Learning

JANUARY 6, 2025

To build an anomaly detection system using such techniques, you need to write custom scripts for processing as well for training. SageMaker provides support for developing scripts by extending in-built algorithm containers, or by building your own custom containers. SageMaker provides Processor classes for both approaches.

Scripts 89

Scripts Metrics Construction Accountability 89

AWS Machine Learning

JUNE 24, 2022

We run this example on Amazon SageMaker Studio for you to try out for yourself. We use the following GitHub repo as an example, so let’s load this notebook. This example uses PyTorch, so we can choose the pre-built PyTorch 1.10 We use the Cambridge-driving Labeled Video Database (CamVid) for this example. program: train.py

Metrics 92

Metrics Transportation Scripts Engineering 92

AWS Machine Learning

DECEMBER 7, 2022

This post shows how Amazon SageMaker enables you to not only bring your own model algorithm using script mode, but also use the built-in HPO algorithm. You will learn how to easily output the evaluation metric of choice to Amazon CloudWatch , from which you can extract this metric to guide the automatic HPO algorithm.

Scripts 72

Scripts Metrics Healthcare Accountability 72

AWS Machine Learning

AUGUST 18, 2022

One of the challenges encountered by teams using Amazon Lookout for Metrics is quickly and efficiently connecting it to data visualization. The anomalies are presented individually on the Lookout for Metrics console, each with their own graph, making it difficult to view the set as a whole. Overview of solution.

Metrics 66

Metrics Scripts Accountability Best practices 66

Callminer

SEPTEMBER 23, 2020

“A good outbound sales script contains a strong connecting statement. ” – Grace Sweeney, 5 Outbound Sales Scripts You Can Adjust on the Fly , Copper; Twitter: @copperinc. Keep metrics in mind and up to date. Read on to learn more: Tools to Leverage for Your Outbound Call Center. Aim to connect.

Best practices 182

Best practices Call Center Outbound sales Telemarketing 182

AWS Machine Learning

AUGUST 11, 2022

This post shows you how to use an integrated solution with Amazon Lookout for Metrics and Amazon Kinesis Data Firehose to break these barriers by quickly and easily ingesting streaming data, and subsequently detecting anomalies in the key performance indicators of your interest. You don’t need ML experience to use Lookout for Metrics.

Metrics 69

Metrics APIs Scripts Wireless 69

Callminer

SEPTEMBER 14, 2020

For instance, to improve key call center metrics such as first call resolution , business analysts may recommend implementing speech analytics solutions to improve agent performance management. That requires involvement in process design and improvement, workload planning and metric and KPI analysis. Kirk Chewning. kirkchewning.

Call Center 182

Call Center Analytics First call resolution Metrics 182

AWS Machine Learning

APRIL 1, 2024

Most of the details will be abstracted by the automation scripts that we use to run the Llama2 example. We use the following code references in this use case: End-to-end fsdp example Llama-recipes example What is Llama2? The example will also work with a pre-existing EKS cluster. Cluster with p4de.24xlarge

Scripts 113

Scripts Engineering Metrics Management 113

AWS Machine Learning

JULY 2, 2024

Image 2: Hugging Face NLP model inference performance improvement with torch.compile on AWS Graviton3-based c7g instance using Hugging Face example scripts. This section shows how to run inference in eager and torch.compile modes using torch Python wheels and benchmarking scripts from Hugging Face and TorchBench repos.

Benchmark 100

Benchmark Scripts Metrics APIs 100

AWS Machine Learning

JUNE 17, 2024

The following code shows an example of how a query is configured within the config.yml file. If you are using the default VPC and security groups then you can leave these configuration parameters empty, see example in this configuration file. The latest model registered in the model registry from the training pipeline is approved.

Scripts 106

Scripts Engineering Metrics Big data 106

AWS Machine Learning

MAY 29, 2024

For example, instead of simply asking the model to describe the image, ask specific questions about the image and relating to its content. By creating synthetic examples of text descriptions, question-answer pairs, and corresponding charts, you can augment your dataset with multimodal examples tailored to your specific use case.

Scripts 112

Scripts Healthcare Metrics Finance 112

TechSee

DECEMBER 28, 2020

Likewise, agents were empowered to go above and beyond their standard scripts, using their newfound technical knowledge and skills to assist their customers. No longer viewed as telephone answerers, chat typers, or script readers, customer service agents have become strategic customer liaisons. Focus on CX and CX metrics.

Technical Support 186

Technical Support Customer Service Enterprise Scripts 186

Totango

JUNE 24, 2022

For example, a B2C customer might prioritize user experience, while a B2B client might emphasize return on investment. The digital nature of SaaS customer experience means that success outcomes are defined primarily in terms of digital, measurable key performance indicators, such as product usage metrics.

Best practices 106

Best practices SaaS Journey mapping B2C 106

AWS Machine Learning

MARCH 6, 2024

For example, in 2023, a research team described training a 100 billion-parameter pLM on 768 A100 GPUs for 164 days! In the following sections, we go through the steps to prepare your training data, create a training script, and run a SageMaker training job. The following diagram illustrates this workflow. apply(lambda x: len(x)).between(100,

Scripts 102

Scripts Biotechnology Healthcare Accountability 102

AWS Machine Learning

APRIL 19, 2024

Solution overview In this section, we present a generic architecture that is similar to the one we use for our own workloads, which allows elastic deployment of models using efficient auto scaling based on custom metrics. The reverse proxy collects metrics about calls to the service and exposes them via a standard metrics API to Prometheus.

Metrics 109

Metrics APIs Scripts Construction 109

AWS Machine Learning

APRIL 12, 2023

All the training and evaluation metrics were inspected manually from Amazon Simple Storage Service (Amazon S3). The code to invoke the pipeline script is available in the Studio notebooks, and we can change the hyperparameters and input/output when invoking the pipeline.

Scripts 85

Scripts APIs Metrics Best practices 85

Balto

JANUARY 2, 2025

Thats where call center agent performance metrics come in. When the right metrics are tracked and acted upon, the results are undeniable. Lets explore how these performance metrics provide the foundation for a thriving call center and set you up to exceed both customer and business goals. But how do you measure success?

Call Center 52

Call Center Metrics Abandon rate Average Handle Time 52

AWS Machine Learning

SEPTEMBER 16, 2024

For example, if you have the DNA sequence “ATCGATCG” and you choose k = 3, then the k-mers within this sequence would be “ATC,” “TCG,” “CGA,” “GAT,” and “ATC.” Run the script get_30mers_from_fa.py (from the CRISPRon GitHub repository ) to obtain all possible 23-mers and 30-mers from the sequences obtained from Step 1.

Scripts 105

Scripts Metrics Healthcare Education 105

Callminer

FEBRUARY 4, 2021

Now more than ever, organizations need to actively manage the Average-Speed-of-Answer (ASA) metric. Give them examples of social engineering attempts they may experience, such as rushed mothers, private customers who don’t want to share information, etc. You can also inform them of their increased vulnerability.

Call Center 345

Call Center Contact Center Finance Consulting 345

AWS Machine Learning

SEPTEMBER 18, 2024

Reusable scaling scripts for rapid experimentation – HyperPod offers a set of scalable and reusable scripts that simplify the process of launching multiple training runs. The Observability section of this post goes into more detail on which metrics are exported and what the dashboards look like in Amazon Managaed Grafana.

Scripts 95

Scripts Metrics Management Accountability 95

AWS Machine Learning

NOVEMBER 10, 2023

For example, you might want to solve an image recognition task using a supervised learning algorithm. Additionally, you need to define which underlying metric fits best for your task and you want to optimize for (such as accuracy, F1 score, or ROC). We opted for providing our own Python script and using Scikit-learn as our framework.

Scripts 96

Scripts Metrics Feedback Enterprise 96

AWS Machine Learning

AUGUST 30, 2023

For example, we could use a specialized language model pre-trained on clinical reports from scratch. The following figure is an example of a radiology report. To fine-tune this model through SageMaker Jumpstart, labeled examples must be provided in the form of {prompt, completion} pairs. ROUGELsum is a summary-level metric.

Healthcare 120

Healthcare APIs Scripts Metrics 120

AWS Machine Learning

MAY 31, 2024

This genomic data could be either public (for example, GenBank) or could be your own proprietary data. Training on SageMaker We use PyTorch and Amazon SageMaker script mode to train this model. Script mode’s compatibility with PyTorch was crucial, allowing us to use our existing scripts with minimal modifications.

Biotechnology 90

Biotechnology Scripts Healthcare APIs 90

AWS Machine Learning

NOVEMBER 14, 2024

In AWS, these model lifecycle activities can be performed over multiple AWS accounts (for example, development, test, and production accounts) at the use case or business unit level. You can build a use case (or AI system) using existing models, newly built models, or combination of both.

Government 78

Government Management APIs Accountability 78

AWS Machine Learning

FEBRUARY 19, 2024

Code examples are provided in Python, and JavaScript (Node.js) is also available in this GitHub repository. Before you can write scripts that use the Amazon Bedrock API, you need to install the appropriate version of the AWS SDK in your environment. For Python scripts, you can use the AWS SDK for Python (Boto3).

Scripts 108

Scripts APIs Entertainment Engineering 108

AWS Machine Learning

JANUARY 19, 2024

One example is an online retailer who deploys a large number of inference endpoints for text summarization, product catalog classification, and product feedback sentiment classification. The performance of the architecture is typically measured using metrics such as validation loss. Choose System terminal under Utilities and files.

Metrics 106

Metrics Scripts Benchmark Enterprise 106

AWS Machine Learning

NOVEMBER 15, 2023

For example, it can scale the data, perform univariate feature selection, conduct PCA at different variance threshold levels, and apply clustering. For this example, you don’t use a specialized dataset; instead, you work with the California Housing dataset that you will import from Amazon Simple Storage Service (Amazon S3).

Scripts 95

Scripts Best practices Accountability Engineering 95

AWS Machine Learning

JANUARY 16, 2024

Next, we create custom inference scripts. Within these scripts, we define how the model should be loaded and specify the inference process. With the model artifacts, custom inference scripts and selected DLCs, we’ll create Amazon SageMaker models for PyTorch and Hugging Face respectively. In the custom inference.py

Scripts 110

Scripts Metrics Best practices Accountability 110

AWS Machine Learning

OCTOBER 2, 2023

If you want to try the working example yourself, check out the accompanying GitHub repository. We can follow a simple three-step process to convert an experiment to a fully automated MLOps pipeline: Convert existing preprocessing, training, and evaluation code to command line scripts. Let’s look at how to automate model building next!

Scripts 102

Scripts Construction Engineering APIs 102