AWS Machine Learning

OCTOBER 5, 2022

The decision tree provided the cut-offs for each metric, which we included as rules-based logic in the streaming application. At the end, we found that the LightGBM model worked best with well-calibrated accuracy metrics. To evaluate the performance of the models, we used multiple techniques.

Calibration 104

Calibration Engineering Automotive Analytics 104

AWS Machine Learning

APRIL 8, 2024

In this post, we explore the latest features introduced in this release, examine performance benchmarks, and provide a detailed guide on deploying new LLMs with LMI DLCs at high performance. Be mindful that LLM token probabilities are generally overconfident without calibration.

Engineering 117

Engineering Calibration APIs Enterprise 117

Customer Relationship Metrics

JULY 27, 2017

Managers can also participate in gaming the scores by selecting incorrect metrics to be evaluated on, by opening the range of “satisfied” scores, and even by creating corrections to the summaries for events like outages, recalls, sample size, or any other excuse that should generate a footnote but generally does not.

Morale 71

Morale Calibration Contact Center Surveys 71

NobelBiz

APRIL 18, 2023

As we will see, this can include strategies like automation, data analytics, digital transformation initiatives, and continuous improvement programs aimed at achieving measurable performance improvements beyond traditional metrics. These metrics should be data-driven, allowing you to identify areas of improvement and track progress over time.

Contact Center 52

Contact Center Interactive Voice Response Management Gamification 52

Nicereply

MAY 24, 2023

Gunjan : The ultimate metric of success for any SaaS organization is net retention. This is a prerequisite to be able to calibrate strategy and iterate appropriately. Measuring success involves a benchmark, and it is often difficult to even gather that benchmark.

Calibration 52

Calibration SaaS Benchmark Education 52

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. Jeff Greenfield is the co-founder and chief operating officer of C3 Metrics.

Contact Center 334

Contact Center Call Center Average Handle Time Real estate 334

AWS Machine Learning

AUGUST 7, 2024

The SageMaker approval pipeline evaluates the artifacts against predefined benchmarks to determine if they meet the approval criteria. You can either have a manual approver or set up an automated approval workflow based on metrics checks in the aforementioned reports. Bias with Bias Benchmark for Question Answering (BBQ).

Government 120

Government Benchmark Scripts Enterprise 120

Serenova

MAY 29, 2020

You’ll improve customer experience metrics like average handle time and first call resolution. Performance Management for setting personal targets, benchmarks and achievements for each agent to deliver positive customer interactions. Calibrate regularly. Metrics Focused on Customer Experience. Support and Motivate Agents.

Best practices 84

Best practices Contact Center Interactive Voice Response Average Handle Time 84

Serenova

MAY 29, 2020

You’ll improve customer experience metrics like average handle time and first call resolution. Performance Management for setting personal targets, benchmarks and achievements for each agent to deliver positive customer interactions. Calibrate regularly. Metrics Focused on Customer Experience. The Cloud.

Best practices 83

Best practices Contact Center Interactive Voice Response Average Handle Time 83

AWS Machine Learning

NOVEMBER 29, 2023

Each trained model needs to be benchmarked against many tasks not only to assess its performances but also to compare it with other existing models, to identify areas that needs improvements and finally, to keep track of advancements in the field. Furthermore, these data and metrics must be collected to comply with upcoming regulations.

Benchmark 119

Benchmark Metrics Engineering APIs 119

AWS Machine Learning

NOVEMBER 22, 2024

Dataset The dataset for this post is manually distilled from the Amazon Science evaluation benchmark dataset called TofuEval. Refer to the evaluation metrics section for accuracy definition) This continues for N(=3 in this notebook) rounds. LLM debates need to be calibrated and aligned with human preference for the task and dataset.

Consulting 104

Consulting Consulting APIs Calibration 104