Callminer

AUGUST 1, 2017

Bill Dettering is the CEO and Founder of Zingtree , a SaaS solution for building interactive decision trees and agent scripts for contact centers (and many other industries). Interactive agent scripts from Zingtree solve this problem. Agents can also send feedback directly to script authors to further improve processes.

Contact Center 334

Contact Center Call Center Average Handle Time Real estate 334

AWS Machine Learning

AUGUST 7, 2024

As you aim to bring your proofs of concept to production at an enterprise scale, you may experience challenges aligning with the strict security compliance requirements of their organization. Optionally, you can commit to third-party version control systems such as GitHub, GitLab, or Enterprise Git.

Government 120

Government Benchmark Scripts Enterprise 120

AWS Machine Learning

JULY 26, 2023

It’s designed for professional use, and calibrated for high-resolution photorealistic images. offers SageMaker optimized scripts and container with faster inference time and can be run on smaller instance compared to the open weight SDXL 1.0. is the latest image generation model from Stability AI. Choose the SDXL 1.0

Calibration 98

Calibration Scripts Enterprise Engineering 98

AWS Machine Learning

MAY 23, 2023

Such pipelines support structured and systematic processes for building, calibrating, assessing, and implementing ML models, and the models themselves generate predictions and inferences. As such, an ML model is the product of an MLOps pipeline, and a pipeline is a workflow for creating one or more ML models.

Engineering 101

Engineering Government Calibration Scripts 101

AWS Machine Learning

NOVEMBER 29, 2023

Evaluating these models allows continuous model improvement, calibration and debugging. Amazon SageMaker MLOps lifecycle As the post “ MLOps foundation roadmap for enterprises with Amazon SageMaker ” describes, MLOps is the combination of processes, people, and technology to productionise ML use cases efficiently.

Benchmark 121

Benchmark Metrics Engineering APIs 121

AWS Machine Learning

APRIL 8, 2025

However, enterprises looking to use AI face a major roadblock: how to safely use sensitive data. By using synthetic data, enterprises can train AI models, conduct analyses, and develop applications without the risk of exposing sensitive information. Synthetic data effectively bridges the gap between data utility and privacy protection.

Enterprise 110

Enterprise Calibration Best practices Accountability 110

AWS Machine Learning

APRIL 22, 2025

For example, a user might ask the question What are the key features of Amazon Q Business Service, and how can it benefit enterprise customers? They could get the following answers: High relevance answer: Amazon Q Business Service is a RAG Generative AI solution designed for enterprise use.

Calibration 89

Calibration Metrics Enterprise Engineering 89