AWS Machine Learning

MARCH 27, 2025

Where discrete outcomes with labeled data exist, standard ML methods such as precision, recall, or other classic ML metrics can be used. These metrics provide high precision but are limited to specific use cases due to limited ground truth data. If the use case doesnt yield discrete outputs, task-specific metrics are more appropriate.

Education 101

Education Engineering APIs Enterprise 101

Calabrio

MARCH 27, 2025

This is why the amount of time spent on interactions is a key metric for ensuring the efficiency of your customer service. Contact Center AHT Components: Its important to understand that average handle time is, in a sense, a metric of metrics. It’s called average handle time (AHT). A good FCR rate ranges from 70 to 75%.

Average Handle Time 52

Average Handle Time Best practices Contact Center Metrics 52

AWS Machine Learning

OCTOBER 2, 2023

With this format, we can easily query the feature store and work with familiar tools like Pandas to construct a dataset to be used for training later. We can follow a simple three-step process to convert an experiment to a fully automated MLOps pipeline: Convert existing preprocessing, training, and evaluation code to command line scripts.

Scripts 112

Scripts Construction Engineering APIs 112

Balto

JULY 7, 2022

When agents intentionally go off script, it’s because they are improvising to get a better call outcome and should be encouraged. In 2022, we published our findings on why agents intentionally go off their scripts. Why Agents Go Off Script. Figure 3: Why do agents go off script? Key Takeaways.

Scripts 52

Scripts Coaching Surveys Construction 52

AWS Machine Learning

JULY 25, 2024

The node recovery agent is a separate component that periodically checks the Prometheus metrics exposed by the node problem detector. Additionally, the node recovery agent will publish Amazon CloudWatch metrics for users to monitor and alert on these events. You can see the CloudWatch NeuronHasError_DMA_ERROR metric has the value 1.

Construction 108

Construction Metrics Scripts Engineering 108

NobelBiz

JULY 11, 2022

Scripts are an essential component of every contact center. The correct amount of data and accurate information delivery can yield impressive scripting capabilities. To provide a better customer experience (CX), dynamic agent scripting is required. Table of Contents show What is call center Dynamic Agent Scripting?

Scripts 52

Scripts Call Center Customer Experience Average Handle Time 52

AWS Machine Learning

JULY 31, 2023

Visualization and metrics – Visualize the 3D structure with the py3Dmol library as an interactive 3D visualization. When starting an estimator job, SageMaker mounts the FSx for Lustre file system to the instance file system, then starts the script. The job logs are kept in Amazon CloudWatch for monitoring.

Scripts 89

Scripts Construction Metrics Management 89

AWS Machine Learning

APRIL 19, 2024

The Kubernetes semantics used by the provisioners support directed scheduling using Kubernetes constructs such as taints or tolerations and affinity or anti-affinity specifications; they also facilitate control over the number and types of GPU instances that may be scheduled by Karpenter.

Metrics 119

Metrics APIs Scripts Construction 119

Callminer

JULY 23, 2019

Lack of Confidence: Some managers are great at meeting metrics and making schedules. Tools like interaction analytics can help call center managers identify relevant issues and deliver precise, targeted feedback to agents and have a more direct impact on metrics like call handling time. Don’t forget the basics.

Best practices 140

Best practices Feedback Call Center Coaching 140

AWS Machine Learning

MAY 10, 2023

It provides a suite of tools for visualizing training metrics, examining model architectures, exploring embeddings, and more. Solution overview A typical training job for deep learning in SageMaker consists of two main steps: preparing a training script and configuring a SageMaker training job launcher. x_test / 255.0 x_test / 255.0

Scripts 84

Scripts Metrics Construction APIs 84

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 130

Healthcare APIs Scripts Metrics 130

JustCall

JULY 29, 2021

Sales managers can also use call recordings in building powerful sales scripts, and pitches. Call center metrics give you a holistic view of how your agents are performing. Is there a winning cold calling script I can use?". Managers can tap into sales metrics derived using reliable tools and technology.

Coaching 86

Coaching Sales Scripts Construction 86

AWS Machine Learning

JANUARY 19, 2024

The goal of NAS is to find the optimal architecture for a given problem by searching over a large set of candidate architectures using techniques such as gradient-free optimization or by optimizing the desired metrics. The performance of the architecture is typically measured using metrics such as validation loss. training.py ).

Metrics 116

Metrics Scripts Benchmark Enterprise 116

AWS Machine Learning

MAY 30, 2024

The company’s Data & Analytics team regularly receives client requests for unique reports, metrics, or insights, which require custom development. Business metadata can be constructed using services like Amazon DataZone. Similarly, Amazon Bedrock metrics are available by navigating to Metrics , Bedrock on the CloudWatch console.

Real estate 124

Real estate APIs Metrics Construction 124

AWS Machine Learning

NOVEMBER 22, 2023

Training script Before starting with model training, we need to make changes to the training script to make it XLA compliant. We followed the instructions provided in the Neuron PyTorch MLP training tutorial to add XLA-specific constructs in our training scripts. These code changes are straightforward to implement.

Scripts 109

Scripts Engineering Best practices Construction 109

AWS Machine Learning

AUGUST 10, 2023

SageMaker services, such as Processing, Training, and Hosting, collect metrics and logs from the running instances and push them to users’ Amazon CloudWatch accounts. One example is performing a metric query on the SageMaker job host’s utilization metrics when a job completion event is received. aws/config.

Scripts 89

Scripts Accountability Metrics Best practices 89

Quality Contact Solutions

OCTOBER 4, 2022

8 Key Metrics Telemarketing Companies Need To Evaluate Performance. These include automated dialers making your calls, rather than dialing each phone number manually, and teams specializing in lead generation, scripting, and reports. It would be a shame to continue investing in a lead generation strategy offering little to no return.

Best practices 111

Best practices Telemarketing outsourcing B2B 111

Customer Relationship Metrics

JULY 26, 2017

The reasons behind millennials’ desire to enhance their skills and to further their careers is a great opportunity when a constructive process exists. Organizations must create performance management and employee development programs that use customer relationship metrics to drive their service delivery. In the Early Years.

Contact Center 211

Contact Center Calibration Construction Customer centricity 211

AWS Machine Learning

NOVEMBER 25, 2022

Defining the right objective metric matching your task. We use the XGBoost algorithm, one of many algorithms provided as a SageMaker built-in algorithm (no training script required!). Collects metrics and logs. If you want to write your own training script, then stay tuned, we’ve got you covered in our next post!

Scripts 87

Scripts APIs Metrics Construction 87

Quality Contact Solutions

JUNE 24, 2021

So it is time for call centers to flip the script and change that perception. To offer constructive feedback, you need to understand where your agents are struggling and how they could improve. Check out inbound and outbound call center KPIs to discover the metrics that are most important to you. Focus on internal communication.

Call Center 89

Call Center Customer Experience Telemarketing Best practices 89

AWS Machine Learning

AUGUST 11, 2022

Additionally, it’s challenging to construct a streaming data pipeline that can feed incoming events to a GNN real-time serving API. For more details on preparing the graph data for training GNNs, refer to the Feature extraction and Constructing the graph sections of the previous blog post. FD_SL_Process_IEEE-CIS_Dataset.ipynb.

Construction 93

Construction APIs Accountability Scripts 93

Fonolo

APRIL 5, 2022

Their day-to-day work is riddled with angry customers, monotonous scripts, and constant problem-solving. Building up performance metrics; delivering KPI reports. A call center leader should deliver encouragement and constructive criticism in a way that helps the agent grow. Why Investing in the Right Leader is Critical.

Call Center 99

Call Center Contact Center Gamification Construction 99

AWS Machine Learning

NOVEMBER 21, 2022

Evaluate model performance on the hold-out test data with various evaluation metrics. To run inference on this model, we first need to download the inference container ( deploy_image_uri ), inference script ( deploy_source_uri ), and pre-trained model ( base_model_uri ). Fine-tune the pre-trained model on a new custom dataset.

Scripts 83

Scripts Metrics APIs Healthcare 83

NobelBiz

SEPTEMBER 12, 2023

For call centers, metrics provide insights that shape strategies and determine operational efficiency. Among these metrics, the “Talk” metric stands out as a vital instrument. Understanding the Average Talk Time metric Average Talk Time represents the actual duration an agent spends conversing with a customer.

Metrics 52

Metrics Call Center Outbound sales Contact Center 52

AWS Machine Learning

OCTOBER 27, 2022

The quick way to identify a CPU bottleneck is to monitor CPU and GPU utilization metrics for SageMaker training jobs in Amazon CloudWatch. You can access these views from the AWS Management Console within the training job page’s instance metrics hyperlink. Pick the relevant metrics and switch from 5-minute to 1-minute resolution.

Scripts 80

Scripts Benchmark Metrics Transportation 80

AWS Machine Learning

OCTOBER 23, 2023

The features are produced via a standard feature engineering step, which includes calculating popularity metrics for job roles and companies, establishing context similarity scores, and extracting interaction parameters from previous user engagements. This provides a metric of how attractive a particular job or company might be.

Engineering 108

Engineering Metrics Scripts Construction 108

AWS Machine Learning

SEPTEMBER 18, 2023

The combination of Ray and SageMaker provides end-to-end capabilities for scalable ML workflows, and has the following highlighted features: Distributed actors and parallelism constructs in Ray simplify developing distributed applications. In the following code, the desired number of actors is passed in as an input argument to the script.

Scripts 120

Scripts APIs Government Construction 120

AWS Machine Learning

SEPTEMBER 20, 2024

L1 constructs, also known as AWS CloudFormation resources, are the lowest-level constructs available in the AWS CDK and offer no abstraction. Currently, the available Amazon Bedrock AWS CDK constructs are L1. Test the agent To test the deployed agent, a Python script is available in the test/ folder.

APIs 103

APIs Chatbots Construction Engineering 103

AWS Machine Learning

SEPTEMBER 28, 2023

For more information about a multimodal version of this solution, refer to The science behind NFL Next Gen Stats’ new passing metric. The model with the best accuracy metric is uploaded to the model registry. The result is the selection of the best model based on the specified model metric, which is RMSE.

Engineering 109

Engineering Metrics Construction Government 109

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 121

Analytics APIs Engineering Construction 121

Outsource Consultants

JANUARY 27, 2025

At Outsource Consultants, we understand the pivotal role these metrics play in driving success and enhancing customer experiences. By focusing on these essential metrics, contact centers can optimize their operations and deliver outstanding service. Train agents on the impact of these metrics.

Contact Center 67

Contact Center Abandon rate Average Handle Time outsourcing 67

Tethr

JULY 21, 2020

They also discovered that it drives more constructive and results-driven coaching enabling them to be better equipped to measure agent performance in their company. By measuring the agent performance metrics that actually matter to their business, companies see tangible results. Overhaul call center QA for good.

Coaching 69

Coaching Construction Upselling Scripts 69

SoliCall

AUGUST 2, 2023

Implement a robust performance feedback system to provide agents with constructive feedback. 3- Clear Performance Metrics. Set clear performance metrics and key performance indicators (KPIs) that align with your call center’s objectives. 4- Quality Assurance Programs. 6 – Continuous Skill Development.

Call Center 52

Call Center First call resolution Construction call center software 52

CSM Magazine

APRIL 9, 2024

Process Discovery Algorithms : Algorithms like Alpha Miner and Heuristics Miner automatically construct process models from event data. Performance Analysis : Metrics such as throughput, cycle time, and resource utilization are essential for process optimization. Organizations collect data from various sources (e.g.,

Construction 52

Construction Scripts Metrics 52

Totango

SEPTEMBER 13, 2022

Similarly, your customer success team can piece SuccessBLOCs together to construct playbooks for your entire customer journey. For example, you can have a different playbook script for customers with low satisfaction scores versus those with high satisfaction scores. Track metrics measuring customer success.

SaaS 93

SaaS Upselling Best practices Customer retention 93

Outsource Consultants

JANUARY 16, 2025

Essential Components of a Winning QA Program A comprehensive QA program includes several key elements: Clear Standards and Metrics: Define quality for your organization. Actionable Feedback Loops: Provide timely, constructive feedback to agents. Consider both objective and subjective metrics.

Best practices 67

Best practices Contact Center First call resolution Average Handle Time 67

aircall

DECEMBER 16, 2016

Missed calls are a tremendous drain on any business’ bottom line so it’s clever to monitor this particular metric to gain an idea of your service’s quality and your potential for growth. These metrics don’t form an exhaustive list. Not all metrics are equal, and not all strategies will work. Stay in the loop.

Call Center 82

Call Center call center software Abandon rate virtual call center 82