Callminer

AUGUST 1, 2017

Metrics, Measure, and Monitor – Make sure your metrics and associated goals are clear and concise while aligning with efficiency and effectiveness. Make each metric public and ensure everyone knows why that metric is measured. Interactive agent scripts from Zingtree solve this problem. Bill Dettering.

Contact Center 334

Contact Center Call Center Average Handle Time Real estate 334

AWS Machine Learning

NOVEMBER 1, 2022

Data scientists need to only provide a tabular dataset and select the target column to predict, and Autopilot automatically infers the problem type, performs data preprocessing and feature engineering, selects the algorithms and training mode, and explores different configurations to find the best ML model. script creates an Autopilot job.

Scripts 77

Scripts APIs Metrics Engineering 77

AWS Machine Learning

MAY 10, 2023

Examples of such use cases include scaling up a feature engineering job that was previously tested on a small sample dataset on a small notebook instance, running nightly reports to gain insights into business metrics, and retraining ML models on a schedule as new data becomes available.

Scripts 74

Scripts Automotive Engineering Enterprise 74

AWS Machine Learning

SEPTEMBER 1, 2023

These teams are as follows: Advanced analytics team (data lake and data mesh) – Data engineers are responsible for preparing and ingesting data from multiple sources, building ETL (extract, transform, and load) pipelines to curate and catalog the data, and prepare the necessary historical data for the ML use cases.

Engineering 105

Engineering Accountability Construction APIs 105

AWS Machine Learning

NOVEMBER 16, 2022

Enhanced monitoring and observability for ML workloads including Amazon EKS, Kubeflow metrics, and application logs using Prometheus, Grafana, and Amazon CloudWatch integrations. Automated deployment options have been improved and simplified using Kustomize scripts and Helm charts. Kubeflow on AWS 1.6.1 and PyTorch 1.12.1.

Metrics 67

Metrics Scripts Enterprise APIs 67

AWS Machine Learning

JANUARY 17, 2023

To try out the solution in your own account, make sure that you have the following in place: An AWS account. If you don’t have an account, you can sign up for one. We now carry out feature engineering steps and then fit the model. The solution outlined in the post is part of SageMaker JumpStart.

Calibration 70

Calibration Metrics Accountability Technical Support 70

AWS Machine Learning

JANUARY 26, 2024

The goal of this post is to empower AI and machine learning (ML) engineers, data scientists, solutions architects, security teams, and other stakeholders to have a common mental model and framework to apply security best practices, allowing AI/ML teams to move fast without trading off security for speed.

Best practices 125

Best practices Government Engineering Accountability 125

AWS Machine Learning

NOVEMBER 21, 2022

Evaluate model performance on the hold-out test data with various evaluation metrics. 2xlarge instances, so you should raise a service limit increase request if your account requires increased limits for this type. Because it’s a binary classification task, we use the accuracy score and F1 score as the evaluation metrics.

Scripts 71

Scripts Metrics APIs Healthcare 71

AWS Machine Learning

AUGUST 30, 2023

For a quantitative analysis of the generated impression, we use ROUGE (Recall-Oriented Understudy for Gisting Evaluation), the most commonly used metric for evaluating summarization. This metric compares an automatically produced summary against a reference or a set of references (human-produced) summary or translation.

Healthcare 114

Healthcare APIs Scripts Metrics 114

AWS Machine Learning

NOVEMBER 9, 2022

The Triton server loads multiple models and exposes ports 8000, 8001, and 8002 as gRPC, HTTP, and metrics server. In the following sections, we introduce the steps needed to prepare a model and build the TensorRT engine, prepare a Docker image, create a SageMaker endpoint, and verify the result. Prepare models and build the engine.

Engineering 79

Engineering Accountability APIs Metrics 79

AWS Machine Learning

MARCH 20, 2023

Use the supplied Python scripts for quantization. Run the provided Python test scripts to invoke the SageMaker endpoint for both INT8 and FP32 versions. Metric FP32 INT8 Exact Match 85.8751 85.5061 F1 92.0807 91.8728 The GitHub repo comes with the scripts to check the accuracy of the SQuAD dataset. py scripts for testing.

Calibration 78

Calibration Scripts Benchmark APIs 78

AWS Machine Learning

SEPTEMBER 7, 2023

This process requires breaking down data into three categories: 1) measurements available from the physical system, 2) the set of actions that can be taken upon the system, and 3) a numerical metric (reward) of equipment performance. Select the best training run based on training metrics. Train the algorithm on that data.

Metrics 96

Metrics Engineering Scripts Accountability 96

AWS Machine Learning

JULY 24, 2023

Based on these metrics an informed decision can be made. Clone the Github repository The GitHub repo provides all the scripts necessary to deploy models using FastAPI on NeuronCores on AWS Inferentia instances. script in the fastapi and trace-model folders use this to create Docker images. 3 Inf1.24xlarge 16 64 1.5

Scripts 72

Scripts APIs Engineering Best practices 72

ProProfs Blog

JUNE 21, 2019

According to Oracle’s 2013 Commerce Trends survey, 42% of respondents say customer retention is a top metric by which they measure success. Needless to say, it is one of the most important metrics for your business to consider when you plan your marketing, loyalty programs, and sales processes.

Customer retention 95

Customer retention Sales Marketing Scripts 95

ChurnZero

NOVEMBER 30, 2021

It’s used in a range of fields including psychology, biology, economics, and engineering. With its intersection and overlap with departments and roles like Account Management and Customer Support, the ideal and desired Customer Success skills can seem murky and ambiguous. . They should hit a happy medium.

Finance 52

Finance Scripts Engineering Metrics 52

AWS Machine Learning

AUGUST 11, 2022

For example, in some e-commerce platforms, account registration is wide open. Fraudsters can behave maliciously just once with an account and never use the same account again. The code used in this solution is available in src/scripts/glue-etl.py. Predicting fraudsters in real time is important. Solution overview.

Construction 83

Construction APIs Accountability Scripts 83

SmartKarrot

OCTOBER 31, 2022

The customer success/account management industry is constantly evolving, but one main thing that has not changed is the need for personalized recommendations for clients. You can use it for customer success , account management , and sales. What is an Augmented Intelligence Framework?

Accountability 10

Accountability Management Engineering Personalization 10

aircall

JUNE 11, 2021

An article on communication theory called Inference of Attitudes from Nonverbal Communication in Two Channels shows the following details about effective communication: Body language accounts for 55% of communication. Voice tone accounts for 38% of communication. Words alone account for 7% of communication.

voip 62

voip APIs Call Center Telecommunications 62

SharpenCX

AUGUST 26, 2020

The Agile Manifesto , which is usually your engineering team’s go-to guide for management, can help leaders in every department. This also works in tandem with accountability. While focusing on call center metrics is incredibly important for measuring performance, be sure to set professional goals as well. Consistency.

Call Center 67

Call Center Abandon rate Management Benchmark 67

AWS Machine Learning

AUGUST 14, 2023

With a big focus on state-of-the art retrieval methods and solid evaluation metrics, it provides you with everything you need to ship a reliable, trustworthy application. With the vector database capabilities of OpenSearch Service, you can implement semantic search, RAG with LLMs, recommendation engines, and search rich media.

Enterprise 69

Enterprise Scripts Best practices Analytics 69

AWS Machine Learning

FEBRUARY 12, 2024

For hyperparameter tuning, a hyperparameter optimization (HPO) job can be initiated, selecting the best model based on the objective metric. Evaluate – A PySpark processing job evaluates the model using a custom Spark script. This decision is based on a condition metric defined in the configuration file.

Engineering 113

Engineering Wait times Metrics Accountability 113

ChurnZero

MARCH 20, 2020

It’s used in a range of fields including psychology, biology, economics, and engineering. The new growth engine. Departments share company-wide goals, but often have differing views on how to achieve them due to isolated focuses, competing priorities, and individual success metrics. Now, my former foe felt like a close friend.

Customer centricity 52

Customer centricity Finance SaaS Scripts 52

AWS Machine Learning

MARCH 15, 2024

Healthcare organizations must navigate strict compliance regulations, such as the Health Insurance Portability and Accountability Act (HIPAA) in the United States, while implementing FL solutions. FedML Octopus is the industrial-grade platform of cross-silo FL for cross-organization and cross-account training.

Healthcare 107

Healthcare Big data Engineering Accountability 107

AWS Machine Learning

APRIL 29, 2024

Metaflow overview Metaflow was originally developed at Netflix to enable data scientists and ML engineers to build ML/AI systems quickly and deploy them on production-grade infrastructure. Through Metaflow and the deployment scripts provided in this post, you should be able to get started with Trainium with ease.

APIs 101

APIs Engineering Scripts Management 101

Comm100

NOVEMBER 5, 2020

By giving agents easy access to scripted solutions, you will free up your most talented and seasoned customer service representatives to tackle more challenging and nuanced problems. You can also perform this audit on your external knowledge base using metrics such as total visits and time spent on page.

Metrics 52

Metrics Customer Service Scripts Surveys 52

AWS Machine Learning

AUGUST 10, 2023

As recommended by AWS as a best practice , customers have used separate accounts to simplify policy management for users and isolate resources by workloads and account. SageMaker services, such as Processing, Training, and Hosting, collect metrics and logs from the running instances and push them to users’ Amazon CloudWatch accounts.

Scripts 78

Scripts Accountability Metrics APIs 78

AWS Machine Learning

NOVEMBER 20, 2023

Data scientists or ML engineers who want to run model training can do so without the burden of configuring training infrastructure or managing Docker and the compatibility of different libraries. We reviewed the training script code to see if anything was causing the CPU bottleneck. 24xlarge instances. region_name}.amazonaws.com/pytorch-training:2.0.0-gpu-py310-cu118-ubuntu20.04-sagemaker'

Scripts 93

Scripts Finance Telecommunications Enterprise 93

AWS Machine Learning

AUGUST 8, 2022

Productionization of robust ML models requires the collaboration of multiple personas, such as data scientists, ML engineers, data engineers, and business stakeholders, under a semi-automate infrastructure following specific operations (MLOps). Solution overview.

Management 83

Management Accountability Engineering Scripts 83

AWS Machine Learning

FEBRUARY 29, 2024

This enables data scientists to quickly build and iterate on ML models, and empowers ML engineers to run through continuous integration and continuous delivery (CI/CD) ML pipelines faster, decreasing time to production for models. You can then iterate on preprocessing, training, and evaluation scripts, as well as configuration choices.

Scripts 94

Scripts Engineering Metrics Best practices 94

AWS Machine Learning

JUNE 27, 2023

By enabling effective management of the ML lifecycle, MLOps can help account for various alterations in data, models, and concepts that the development of real-time image recognition applications is associated with. This step produces an expanded report containing the model’s metrics. Endpoints had to be deployed manually as well.

Engineering 96

Engineering APIs Scripts Entertainment 96

AWS Machine Learning

JANUARY 19, 2024

The concepts illustrated in this post can be applied to applications that use PLM features, such as recommendation systems, sentiment analysis, and search engines. The performance of the architecture is typically measured using metrics such as validation loss. Choose Request increase at account-level. Choose Request.

Metrics 99

Metrics Scripts Benchmark Enterprise 99

AWS Machine Learning

APRIL 23, 2024

Performance Optimization – Choosing the appropriate resources, implementing caching strategies, and proactively monitoring performance metrics ensure that applications deliver fast and accurate responses, leading to optimal performance and an enhanced user experience. It calls the CreateDataSource and DeleteDataSource APIs.

APIs 107

APIs Enterprise Scripts Accountability 107

AWS Machine Learning

AUGUST 29, 2023

This architecture design represents a multi-account strategy where ML models are built, trained, and registered in a central model registry within a data science development account (which has more controls than a typical application development account).

Scripts 72

Scripts APIs Enterprise Accountability 72

AWS Machine Learning

DECEMBER 6, 2023

When answering a new question in real time, the input question is converted to an embedding, which is used to search for and extract the most similar chunks of documents using a similarity metric, such as cosine similarity, and an approximate nearest neighbors algorithm. The search precision can also be improved with metadata filtering.

Analytics 104

Analytics APIs Engineering Construction 104

AWS Machine Learning

SEPTEMBER 28, 2023

To effectively train this model, we establish an MLOps infrastructure to streamline the model development process by automating data preprocessing, feature engineering, hyperparameter tuning, and model selection. The model with the best accuracy metric is uploaded to the model registry. Let’s discuss the steps in more detail.

Engineering 91

Engineering Metrics Construction Government 91

RapportBoost

NOVEMBER 5, 2018

At RapportBoost, we changed the outcomes of chat conversations for brands, like Jenny Craig , we supercharge agents with technology and we are not a bot or a chat platform, we are a chat analytics company, we found that that most important metrics for contact centers are those that measure the quality of the conversation and are specific to chat.

Contact Center 40

Contact Center Scripts Sales Metrics 40

AWS Machine Learning

MARCH 2, 2023

To account for changes in the economic environment, the model needs to be fine-tuned once more when the data starts drifting or the model’s prediction accuracy starts to degrade. script will create the VPC, subnets, auto scaling groups, the EKS cluster, its nodes, and any other necessary resources. eks-create.sh eks-create.sh

Scripts 75

Scripts Engineering Metrics Transportation 75