Totango

DECEMBER 1, 2021

An agile approach brings the full power of big data analytics to bear on customer success. This should reference your KPI metrics and lay out a path to achieve each. The post How to Bring Agile Innovation to Customer Success appeared first on Best Customer Success Blog: Articles for Enterprise Growth.

Government 97

Government Journey mapping Accountability Benchmark 97

AWS Machine Learning

JULY 19, 2022

This allows us to compare the evaluation metrics of different versions of the model that are trained based on different input datasets. When the model training process is complete, we can access the evaluation metrics on the Evaluate tab on the model page. He works closely with enterprise customers to accelerate their Cloud journey.

APIs 70

APIs Metrics Enterprise Government 70

AWS Machine Learning

NOVEMBER 9, 2023

Conclusion Organizations often need to align with enterprise-wide toolsets to enable collaboration across different functional areas and teams. She holds a master’s degree in Computer Science specialized in Data Science from the University of Colorado, Boulder. Data Lake Architect with AWS Professional Services.

Scripts 101

Scripts Accountability Engineering Best practices 101

Fonolo

NOVEMBER 17, 2020

As the focus of contact center turns to creating value rather than reducing expenses, KPIs like customer satisfaction and service level will become increasingly favored over metrics like Average Handling Time. FCR is the Most Important Metric. 2016: 50% of Global 1000 companies will have stored customer-sensitive data in the cloud.

Contact Center 176

Contact Center Gamification Call Center Average Handle Time 176

AWS Machine Learning

APRIL 24, 2023

We invoke a Lambda function to validate that the training data path exists, and then trigger an Amazon Comprehend training job. If the training job is complete, we get the model metric and store it in DynamoDB for further evaluation. After the training job starts, we use another Lambda function to check the training job status.

APIs 62

APIs Customer Experience Feedback Chatbots 62

AWS Machine Learning

NOVEMBER 14, 2023

In the era of big data and AI, companies are continually seeking ways to use these technologies to gain a competitive edge. At the core of these cutting-edge solutions lies a foundation model (FM), a highly advanced machine learning model that is pre-trained on vast amounts of data. tar czvf model.tar.gz -C deepspeed.

Management 91

Management APIs Best practices Calibration 91

AWS Machine Learning

JULY 19, 2023

We discuss the solution architecture and best practices for managing model card versions, and walk through how to set up, operationalize, and govern the model card integration with the model version in the model registry. Model cards are part of the best practices for responsible and transparent ML development.

Government 80

Government Best practices Metrics Enterprise 80

AWS Machine Learning

NOVEMBER 24, 2023

This ensures full isolation between the workspaces following the federated model account structure mentioned in SageMaker Studio Administration Best Practices. JuMa features Following best practice architecting on AWS, the JuMa service was designed and implemented according to the AWS Well-Architected Framework.

Engineering 73

Engineering Analytics Government Self service 73

AWS Machine Learning

FEBRUARY 29, 2024

framework/modelmetrics/ – This directory contains a Python script that creates an Amazon SageMaker Processing job for generating a model metrics JSON report for a trained model based on results of a SageMaker batch transform job performed on test data. The model_unit.py script is used by pipeline_service.py The pipeline_service.py

Scripts 94

Scripts Engineering Metrics Best practices 94

AWS Machine Learning

AUGUST 29, 2023

Solution overview The following figure illustrates the proposed target MLOps architecture for enterprise batch inference for organizations who use GitLab CI/CD and Terraform infrastructure as code (IaC) in conjunction with AWS tools and services. Refer to Operating model for best practices regarding a multi-account strategy for ML.

Scripts 72

Scripts APIs Enterprise Accountability 72

ClearAction

APRIL 18, 2015

An enterprise social platform can integrate collaborative networking & knowledge management. Create CX playbooks & best practice to guide interactions with customers. Focus employee metrics more on CX enabling behaviors, less on survey ratings. —@EngageGXD. —@sharmasights.

Customer Experience 96

Customer Experience Employee engagement Big data Analytics 96

Xaqt

JUNE 22, 2020

Despite significant advancements in big data and open source tools, niche Contact Center Business Intelligence providers are still wed to their own proprietary tools leaving them saddled with technical debt and an inability to innovate from within. Accessing this data throughout the enterprise is often a challenge.

Call Center 52

Call Center Contact Center Analytics Engineering 52

AWS Machine Learning

MAY 8, 2023

This can be a challenge for enterprises in regulated industries that need to keep strong model governance for audit purposes. The MLflow Python SDK provides a convenient way to log metrics, runs, and artifacts, and it interfaces with the API resources hosted under the namespace /api/.

APIs 70

APIs Government Accountability Scripts 70

AWS Machine Learning

MAY 10, 2023

Exploring, analyzing, interpreting, and finding trends in data is essential for businesses to achieve successful outcomes. Business analysts play a pivotal role in facilitating data-driven business decisions through activities such as the visualization of business metrics and the prediction of future events.

Accountability 75

Accountability Enterprise Big data Management 75

AWS Machine Learning

SEPTEMBER 9, 2022

Data must be utilized, stored, and accessed in specific ways, and we have embedded robust processes to ensure our practices comply with our legal obligations as well as align with industry best practices. We then use Kibana and the Grafana UI for searching and filtering logs and metrics. Logging and monitoring.

Engineering 75

Engineering Healthcare APIs Scripts 75

AWS Machine Learning

JANUARY 26, 2023

SageMaker then determines the best model candidate with the optimal hyperparameters based on the objective metric configured. Best Egg was able to automate hyperparameter tuning with the automated hyperparameter optimization (HPO) feature of SageMaker and parallelize it.

Finance 74

Finance Engineering Big data Banking 74