TechSee

FEBRUARY 10, 2025

Rather than relying on static scripts, Sophie autonomously decides how to engage. A national smart home provider used dynamic visual guidance to reduce handling time by over to 40%, letting teams handle more queries in less time – while automatically training AI models for future Agentic AI automation. Visual troubleshooting?

Customer Service 124

Customer Service Average Handle Time Telecommunications Chatbots 124

ShepHyken

MAY 31, 2021

Linkedin Pulse) Customer service scripts are tempting from the perspective of experience consistency, but it is hard to be authentic and inspired when you are reading someone else’s words. Go to The Customer Focus™ to learn more about our customer service training programs. Follow on Twitter: @Hyken.

Customer Service 339

Customer Service Chatbots Customer effort Scripts 339

AWS Machine Learning

NOVEMBER 15, 2024

For automatic model evaluation jobs, you can either use built-in datasets across three predefined metrics (accuracy, robustness, toxicity) or bring your own datasets. For early detection, implement custom testing scripts that run toxicity evaluations on new data and model outputs continuously.

APIs 110

APIs Government Best practices Metrics 110

AWS Machine Learning

DECEMBER 7, 2022

The success of any machine learning (ML) pipeline depends not just on the quality of model used, but also the ability to train and iterate upon this model. However, doing this tuning manually can often be cumbersome due to the size of the search space, sometimes involving thousands of training iterations. Solution overview.

Scripts 90

Scripts Metrics Healthcare Accountability 90

Calabrio

FEBRUARY 27, 2025

Workforce Management 2025 Call Center Productivity Guide: Must-Have Metrics and Key Success Strategies Share Achieving maximum call center productivity is anything but simple. Revenue per Agent: This metric measures the revenue generated by each agent. For many leaders, it might often feel like a high-wire act.

Call Center 52

Call Center Metrics Gamification Contact Center 52

AWS Machine Learning

SEPTEMBER 18, 2024

It is important to consider the massive amount of compute often required to train these models. When using compute clusters of massive size, a single failure can often throw a training job off course and may require multiple hours of discovery and remediation from customers. In recent years, FM sizes have been increasing.

Scripts 113

Scripts Metrics Management Accountability 113

Fonolo

JANUARY 31, 2023

Call center training has always been one of the key pillars of running a successful call center. A strong call center training program should not just be part of your onboarding process. Still have questions about call center training? What is Call Center Training? Don’t just pick one.

Call Center 141

Call Center Contact Center Coaching Gamification 141

AWS Machine Learning

MAY 31, 2024

In this blog post and open source project , we show you how you can pre-train a genomics language model, HyenaDNA , using your genomic data in the AWS Cloud. Amazon SageMaker Amazon SageMaker is a fully managed ML service offered by AWS, designed to reduce the time and cost associated with training and tuning ML models at scale.

Biotechnology 108

Biotechnology Scripts Healthcare APIs 108

AWS Machine Learning

APRIL 29, 2024

In recent years, large language models (LLMs) have gained attention for their effectiveness, leading various industries to adapt general LLMs to their data for improved results, making efficient training and hardware availability crucial. In this post, we show you how efficient we make our continual pre-training by using Trainium chips.

APIs 124

APIs Healthcare Scripts Enterprise 124

AWS Machine Learning

FEBRUARY 12, 2025

Trained on broad, generic datasets spanning a wide range of topics and domains, LLMs use their parametric knowledge to perform increasingly complex and versatile tasks across multiple business use cases. We added simplified Medusa training code, adapted from the original Medusa repository.

Scripts 78

Scripts Metrics Engineering Accountability 78

Callminer

JANUARY 18, 2021

Use call recordings and ongoing training to nurture emotional competence among agents. Training agents to excel at their positions falls largely on teaching them to calmly coax positive results from negative situations. Emotional intelligence can be trained most effectively by refocusing your agents’ attention on their own behaviors.

Best practices 226

Best practices Call Center Contact Center Scripts 226

AWS Machine Learning

APRIL 19, 2024

In this post, we focus on how we used Karpenter on Amazon Elastic Kubernetes Service (Amazon EKS) to scale AI training and inference, which are core elements of the Iambic discovery platform. We wanted to build a scalable system to support AI training and inference. Here we use the number of requests per second as a custom metric.

Metrics 124

Metrics APIs Scripts Construction 124

AWS Machine Learning

SEPTEMBER 26, 2024

Trained on the Amazon SageMaker HyperPod , Dream Machine excels in creating consistent characters, smooth motion, and dynamic camera movements. Model parallel training becomes necessary when the total model footprint (model weights, gradients, and optimizer states) exceeds the memory of a single GPU.

Scripts 118

Scripts APIs Metrics Management 118

OctopusTech

JANUARY 20, 2025

In the case of a call center, you will mark the performance of the agents against key performance indicators like script compliance and customer service. The goal of QA in any call center is to maintain high levels of service quality, ensure agents adhere to company policies and scripts, and identify areas of improvement.

Call Center 62

Call Center Scripts Benchmark Average Handle Time 62

AWS Machine Learning

NOVEMBER 20, 2023

This vision model developed by KT relies on a model pre-trained with a large amount of unlabeled image data to analyze the nutritional content and calorie information of various foods. The teacher model remains unchanged during KD, but the student model is trained using the output logits of the teacher model as labels to calculate loss.

Scripts 117

Scripts Finance Telecommunications Enterprise 117

ProProfs Blog

APRIL 17, 2020

But without numbers or metric data in hand, coming up with any new strategy would only consume your valuable time. For example, you need access to metrics like NPS, average response time and others like it to make sure you come up with relevant strategies that help you retain more customers. So, buckle up. 1: Customer Churn Rate. #2:

Metrics 142

Metrics Customer retention SaaS Surveys 142

AWS Machine Learning

NOVEMBER 22, 2023

Like many ML organizations, accelerators are largely used to accelerate DL training and inference. In this post, we discuss how M5 was able to reduce the cost to train their models by 30%, and share some of the best practices we learned along the way. To use accelerators, you need a software layer to support them.

Scripts 114

Scripts Engineering Best practices Construction 114

Callminer

APRIL 24, 2020

In essence, this structured interview process allows a group of candidates to work through tasks and assessments; it also gives those in charge of hiring the opportunity to select the best performers in the group and train them together to become new call center agents. Focus on the Metrics that Matter Most. Avoid Negative Language.

Best practices 182

Best practices Call Center Coaching Schedule adherence 182

Callminer

JULY 16, 2018

Contact centers especially struggle with how to train, manage, and engage agents properly. The metrics used to measure an at-home agent’s performance will probably be different since they may work flexible hours or handle a specific type of incoming call. Personalize their training. Use gamification. Recognize their efforts.

At home agents 196

At home agents Call Center Gamification Average Handle Time 196

ShepHyken

NOVEMBER 4, 2022

This week, we feature an article by Baphira Wahlang Shylla, a digital marketer at Knowmax , a SaaS company that provides knowledge management solutions for various industries that are seeking to improve their customer service metrics. For example, it can take up to 5-6 weeks to provide training to new agents at a call center.

Customer Experience 165

Customer Experience Scripts Self service outsourcing 165

AWS Machine Learning

AUGUST 2, 2024

Investors and analysts closely watch key metrics like revenue growth, earnings per share, margins, cash flow, and projections to assess performance against peers and industry trends. Traditionally, earnings call scripts have followed similar templates, making it a repeatable task to generate them from scratch each time.

Engineering 129

Engineering Scripts Metrics APIs 129

CCNG

AUGUST 23, 2023

Performance Optimization: Data analytics can reveal key performance metrics such as call resolution times, average handling times, and first-call resolution rates. Analyzing these metrics helps contact centers identify bottlenecks and areas for improvement. This optimization leads to enhanced operational efficiency and reduced costs.

Contact Center 195

Contact Center Analytics CCNG Average Handle Time 195

Callminer

FEBRUARY 4, 2021

Firstly, contact centers can make use of call analytics software to analyze past call recordings and use them to train agents how to identify vulnerable customers. Now more than ever, organizations need to actively manage the Average-Speed-of-Answer (ASA) metric. Addressing increased vulnerability will take training…”.

Call Center 345

Call Center Contact Center Finance Consulting 345

Outsource Consultants

MARCH 18, 2025

Agent Expertise and Continuous Training The backbone of any successful call center is its team of experienced and well-trained agents. Ongoing training programs keep agents updated on product knowledge, customer service techniques, and the latest industry trends.

Call Center 67

Call Center outsourcing First call resolution Average Handle Time 67

OctopusTech

FEBRUARY 6, 2025

To ensure compliance, train all agents regularly on secure data handling and adherence to HIPAA standards. Continuous Training Programs Comprehensive training of the agents is needed to make sure they handed calls with empathy and expertise. The scripts also help to reduce errors and improve overall patient outcomes.

Best practices 62

Best practices Healthcare Call Center Interactive Voice Response 62

Callminer

APRIL 21, 2020

Call center managers may be involved with hiring and training call center agents , monitoring call center metrics tied to agent performance , using speech analytics tools for ongoing quality monitoring , providing ongoing feedback and coaching, and more. The presentation is shown to everyone in the training. William Taylor.

Call Center 182

Call Center Management Scripts Coaching 182

AWS Machine Learning

FEBRUARY 29, 2024

The framework code and examples presented here only cover model training pipelines, but can be readily extended to batch inference pipelines as well. Configuration files (YAML and JSON) allow ML practitioners to specify undifferentiated code for orchestrating training pipelines using declarative syntax.

Scripts 119

Scripts Engineering Metrics Best practices 119

AWS Machine Learning

AUGUST 24, 2023

Today, we’re pleased to announce the preview of Amazon SageMaker Profiler , a capability of Amazon SageMaker that provides a detailed view into the AWS compute resources provisioned during training deep learning models on SageMaker. There are two approaches that you can take to profile your training scripts with SageMaker Profiler.

Scripts 94

Scripts Metrics Finance Enterprise 94

AWS Machine Learning

OCTOBER 27, 2022

Certain machine learning (ML) workloads, such as training computer vision models or reinforcement learning, often involve combining the GPU- or accelerator-intensive task of neural network model training with the CPU-intensive task of data preprocessing, like image augmentation. This post is co-written with Chaim Rand from Mobileye.

Scripts 86

Scripts Benchmark Metrics Transportation 86

AWS Machine Learning

OCTOBER 24, 2024

Employee training and resources – In this use case, chatbots can use employee training manuals, HR resources, and IT service documents to help employees onboard faster or find the information they need to troubleshoot internal issues. Mean Reciprocal Rank (MRR) – This metric considers the ranking of the retrieved documents.

Chatbots 88

Chatbots Metrics Scripts APIs 88

AWS Machine Learning

JULY 1, 2024

Amazon SageMaker is a machine learning (ML) platform designed to simplify the process of building, training, deploying, and managing ML models at scale. Additionally, we walk through a Python script that automates the identification of idle endpoints using Amazon CloudWatch metrics. client("cloudwatch") sagemaker = boto3.client("sagemaker")

Scripts 111

Scripts Metrics Best practices Management 111

AWS Machine Learning

MARCH 6, 2023

Large language models (LLMs) are neural network-based language models with hundreds of millions ( BERT ) to over a trillion parameters ( MiCS ), and whose size makes single-GPU training impractical. The size of an LLM and its training data is a double-edged sword: it brings modeling quality, but entails infrastructure challenges.

Best practices 100

Best practices APIs Transportation Scripts 100

AWS Machine Learning

MARCH 9, 2023

Applying these techniques allows ML practitioners to reduce the amount of data required to train an ML model. As part of this approach, advanced data subset selection techniques have surfaced to speed up training by reducing input data quantity. Applying this type of technique reduces the amount of time required to train an ML model.

Scripts 94

Scripts Engineering Metrics Management 94

Callminer

JULY 5, 2018

Call centers that utilize automated call scoring define the metrics they want to track on every call such as script adherence, industry compliance wording, voice inflection, and long spans of silence. Once you input these metrics, the software automatically scores every interaction. Customize trainings.

First call resolution 157

First call resolution Call Center Average Handle Time Contact Center 157

CSM Magazine

JANUARY 2, 2025

Building a customer support team that responds with genuine understanding requires training, thoughtful communication tools, and a culture that prioritizes the human side of service. Training and Development Programs Teaching empathy starts with effective training. Training isnt a one-and-done event.

Customer Support 52

Customer Support Scripts Healthcare Feedback 52

AWS Machine Learning

DECEMBER 16, 2022

This is achieved by organizing and managing ML experiments in an effortless way to draw conclusions from them, for example, finding the training run with the best accuracy. Run : Each execution step of a model training process. For SageMaker Training, Processing and. Prerequisites. Prerequisites. medium instance type.

Metrics 94

Metrics Engineering Scripts Management 94

Integrity Solutions

SEPTEMBER 28, 2023

Their emphasis customer service training delivers end-to-end service excellence that is driving strong loyalty, competitive differentiation and direct revenue generation. They don’t want ten minutes of on-hold music only to hear canned, scripted responses that ignore their real issues and needs. Customers want empathy.

Customer Service 106

Customer Service Coaching Contact Center Banking 106