AWS Machine Learning

NOVEMBER 22, 2023

You can save time, money, and labor by implementing classifications in your workflow, and documents go to downstream applications and APIs based on document type. This helps you avoid throttling limits on API calls due to polling the Get* APIs. Model monitoring The performance of ML models is monitored for degradation over time.

APIs 100

APIs Metrics Enterprise Benchmark 100

Enghouse Interactive

OCTOBER 21, 2020

As noted in the 2019 Dimension Data Customer Experience (CX) Benchmarking report: 88% of contact center decision-makers expect self-service volumes to increase over the next 12 months. These interactions will become longer – so traditional productivity measurements and benchmarks will no longer be relevant and will have to be redefined.

Self service 98

Self service Contact Center Benchmark Chatbots 98

AWS Machine Learning

APRIL 22, 2024

Examples of tools you can use to advance sustainability initiatives are: Amazon Bedrock – a fully managed service that provides access to high-performing FMs from leading AI companies through a single API, enabling you to choose the right model for your sustainability use cases.

Best practices 119

Best practices Benchmark Transportation Engineering 119

AWS Machine Learning

NOVEMBER 22, 2023

Define goals and metrics – The function needs to deliver value to the organization in different ways. Establish regular cadence – The group should come together regularly to review their goals and metrics. This allows the workload to be implemented to achieve the desired goals of the organization.

Finance 88

Finance Best practices APIs Accountability 88

AWS Machine Learning

DECEMBER 1, 2022

They show the usage of various SageMaker and JumpStart APIs. This notebook demonstrates how to deploy AlexaTM 20B through the JumpStart API and run inference. This dataset has been widely used as a topic modeling benchmark. They offer a technical solution that you can further customize based on your own needs.

APIs 95

APIs Benchmark Advertising Banking 95

AWS Machine Learning

MAY 8, 2023

To use TensorRT as a backend for Triton Inference Server, you need to create a TensorRT engine from your trained model using the TensorRT API. The trtexec tool has three main purposes: Benchmarking networks on random or user-provided input data. For this post, we use the trtexec CLI tool. Generating serialized engines from models.

Engineering 89

Engineering APIs Best practices Scripts 89

Pointillist

JULY 25, 2018

Success Metrics for the Team. Ultimately, the biggest success metric for the Champion is to be able to show the Executive Sponsor and key Stakeholders that real business value has been gained through the use of customer journey analytics. Success Metrics for the Project. Success Metrics for the Business. Churn Rate.

Analytics 93

Analytics Government APIs Metrics 93