AWS Machine Learning

MAY 10, 2023

Today, data scientists who are training deep learning models need to identify and remediate model training issues to meet accuracy targets for production deployment, and require a way to utilize standard tools for debugging model training. is your training script, and simple_tensorboard.ipynb launches the SageMaker training job.

Scripts 72

Scripts Metrics Construction APIs 72

AWS Machine Learning

NOVEMBER 15, 2023

AutoML allows you to derive rapid, general insights from your data right at the beginning of a machine learning (ML) project lifecycle. It plays a crucial role in every model’s development process and allows data scientists to focus on the most promising ML techniques. This solution will incur costs in your AWS account.

Scripts 85

Scripts Best practices Accountability Engineering 85

AWS Machine Learning

JANUARY 16, 2024

This state-of-the-art model is trained on a vast and diverse dataset of multilingual and multitask supervised data collected from the web. SageMaker empowers data scientists, developers, and organizations to develop, train, deploy, and manage machine learning models at scale. Next, we create custom inference scripts.

Scripts 100

Scripts Metrics Best practices Accountability 100

Callminer

SEPTEMBER 14, 2020

They serve as a bridge between IT and other business functions, making data-driven recommendations that meet business requirements and improve processes while optimizing costs. That requires involvement in process design and improvement, workload planning and metric and KPI analysis. Andrew Tillery. MAPCommInc.

Call Center 182

Call Center Analytics First call resolution Metrics 182

Global Response

MARCH 20, 2023

Although average handle time might seem like a small—and primarily internal—metric, it can make a big difference on customer satisfaction. ACW includes things like post-call processing or tracking, updating customer data, scheduling follow-ups or tracking KPIs. Are your call center interactions taking too long?

Average Handle Time 62

Average Handle Time Scripts Call Center Interactive Voice Response 62

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. Interactive agent scripts from Zingtree solve this problem. Bill Dettering.

Contact Center 334

Contact Center Call Center Average Handle Time Real estate 334

AWS Machine Learning

NOVEMBER 21, 2022

Evaluate model performance on the hold-out test data with various evaluation metrics. Extract and analyze data from documents. We use Amazon Simple Storage Service (Amazon S3) alongside SageMaker to store the training data and model artifacts, and Amazon CloudWatch to log training and endpoint outputs. Fraud detection.

Scripts 71

Scripts Metrics APIs Healthcare 71

AWS Machine Learning

AUGUST 30, 2023

Generative AI is powered by machine learning (ML) models—very large models that are pre-trained on vast amounts of data and commonly referred to as foundation models (FMs). Fine-tuning a pre-trained model involves further training on specific data to improve performance on a different but related task. It ignores newlines in the text.

Healthcare 109

Healthcare APIs Scripts Metrics 109

AWS Machine Learning

MAY 10, 2023

Jupyter notebooks are highly favored by data scientists for their ability to interactively process data, build ML models, and test these models by making inferences on data. However, there are scenarios in which data scientists may prefer to transition from interactive development on notebooks to batch jobs.

Scripts 73

Scripts Automotive Engineering Enterprise 73

AWS Machine Learning

NOVEMBER 1, 2022

Amazon SageMaker Autopilot automatically builds, trains, and tunes the best custom machine learning (ML) models based on your data. Amazon SageMaker Pipelines helps you automate the different steps of the ML lifecycle, including data preprocessing, training, tuning and evaluating ML models, and deploying them. SageMaker pipeline steps.

Scripts 76

Scripts APIs Metrics Engineering 76

AWS Machine Learning

JANUARY 17, 2023

In addition to textual inputs, this model uses traditional structured data inputs such as numerical and categorical fields. Extract and analyze data from documents. We approach solving the churn prediction problem with the following steps: Data exploration to prepare the data to be ML ready. Data exploration.

Calibration 69

Calibration Metrics Accountability Technical Support 69

Amity

MARCH 24, 2017

My goal at Influitive was to systematically increase retention and to create growth opportunities within existing accounts. Pro tip: Once you reach 30+ customers you can no longer afford an ad hoc approach, you must look at as much data as possible (i.e. Explore potential areas for growth within an account early and often.

Accountability 56

Accountability Engineering Metrics Upselling 56

AWS Machine Learning

DECEMBER 21, 2022

Today, companies are establishing feature stores to provide a central repository to scale ML development across business units and data science teams. The offline store is an append-only store and can be used to store and access historical feature data. Table formats provide a way to abstract data files as a table.

Scripts 72

Scripts Engineering APIs Big data 72

AWS Machine Learning

FEBRUARY 13, 2024

To keep pace with new products, a new model was produced each month using the latest training data. Data augmentation for model training and manually managing the complete end-to-end training cycle was adding significant overhead. For certain SKUs, we augmented data to encompass a broader range of environmental conditions.

Engineering 98

Engineering Gamification Scripts Big data 98

Totango

APRIL 26, 2021

Integration – Enhanced and easier control of the data flow from Totango to customer systems. . Download Campaign Metrics for Targeted Users. Campaigns, SuccessPlays, Account, and User segments with more than one collection criteria now returns accurate results when all the collection criteria match the same collection record.

Scripts 62

Scripts APIs Customer retention Enterprise 62

AWS Machine Learning

FEBRUARY 1, 2023

These images contain the Neuron SDK (excluding the Neuron driver, which runs directly on the Trn1 instances), PyTorch training script, and required dependencies. The tutorial shows how to determine which Availability Zones will allow for Trn1 instances within your AWS account.

Scripts 91

Scripts Benchmark Management Enterprise 91

AWS Machine Learning

NOVEMBER 28, 2022

The solution is agnostic to use cases, which means you can adapt it for your use cases by changing the model and data. Lambda’s automatic scaling, pay-per-request billing, and ease of use make it a common deployment choice for data science teams. To deploy our solution successfully, you need the following: An AWS account.

Scripts 74

Scripts Accountability Call flow Consulting 74

AWS Machine Learning

NOVEMBER 16, 2022

Enhanced monitoring and observability for ML workloads including Amazon EKS, Kubeflow metrics, and application logs using Prometheus, Grafana, and Amazon CloudWatch integrations. Automated deployment options have been improved and simplified using Kustomize scripts and Helm charts. Kubeflow on AWS 1.6.1 and PyTorch 1.12.1.

Metrics 66

Metrics Scripts Enterprise APIs 66

AWS Machine Learning

MARCH 20, 2023

Quantization is a technique to reduce the computational and memory costs of running inference by representing the weights and activations with low-precision data types like 8-bit integer (INT8) instead of the usual 32-bit floating point (FP32). Refer to the appendix for instance details and benchmark data.

Calibration 77

Calibration Scripts Benchmark APIs 77

Fonolo

AUGUST 4, 2022

Script adherence. Call center performance isn’t just about individual agents and metrics. You’ll need to budget accordingly and account for raises, supervisor and agent salaries, and leadership responsibilities. There are two sections—one for contact center metrics overall, and another for individual agent performance.

Call Center 81

Call Center Abandon rate Contact Center Average Handle Time 81

Call Experts

JULY 27, 2023

Metrics to Track for a Successful Customer Service Call Center The business landscape today is primarily customer-centric. Important metrics that you want to make sure you understand include time to answer, abandonment rates, and uptime. Critical Metrics for Customer Service Call Center Success.

Call Center 52

Call Center Customer Service Multichannel Abandon rate 52

AWS Machine Learning

MAY 30, 2024

The opportunities to unlock value using AI in the commercial real estate lifecycle starts with data at scale. Although CBRE provides customers their curated best-in-class dashboards, CBRE wanted to provide a solution for their customers to quickly make custom queries of their data using only natural language prompts.

Real estate 97

Real estate APIs Metrics Construction 97

Calltools

MAY 27, 2020

Call scoring lets you evaluate call data in your organization to find out the following information about your team, whether agents are: Abiding by internal standards. Complying with data governance legislation. Following call scripts. Improve call scripts. Call scoring metrics shouldn’t be “set in stone.”

Coaching 52

Coaching Government Scripts Metrics 52

AWS Machine Learning

MARCH 1, 2023

In order to do so, customers have to retrain their existing entity extraction models with new training data that includes COVID. Custom Comprehend users need to manually monitor model performance to assess drifts, maintain data to retrain models, and select the right models that improve performance.

APIs 67

APIs Metrics Accountability Scripts 67

AWS Machine Learning

JANUARY 26, 2024

The goal of this post is to empower AI and machine learning (ML) engineers, data scientists, solutions architects, security teams, and other stakeholders to have a common mental model and framework to apply security best practices, allowing AI/ML teams to move fast without trading off security for speed.

Best practices 120

Best practices Government Engineering Accountability 120

SharpenCX

FEBRUARY 24, 2023

There are a few key ways to provide hyperpersonalized service at scale: Get to know your customers through your data. How to Hyperpersonalize Customer Experiences Use data to understand your customers Make use of technology Support your agents Meet customers where they are Let’s take each of these a step further.

Banking 76

Banking Personalization Customer Experience Chatbots 76

AWS Machine Learning

SEPTEMBER 1, 2023

Specifically, we briefly introduce MLOps principles and focus on the main differentiators compared to FMOps and LLMOps regarding processes, people, model selection and evaluation, data privacy, and model deployment. These data owners are focused on providing access to their data to multiple business units or teams.

Engineering 101

Engineering Accountability Construction APIs 101

AWS Machine Learning

JUNE 22, 2022

This is mainly due to the lack of annotated data (or when data is sparse) and in areas such as quality control, where trained human eyes still dominate. There are also other miscellaneous costs that may not always be accounted for. Also includes cleanup scripts to delete created resources. Solution overview.

Scripts 74

Scripts Accountability Metrics Personalization 74

JustCall

MARCH 6, 2023

That is, the metric should be the total time taken by the agent on phone calls, online chat, e-mail and other channels. It is an important metric to calculate agent productivity. It is crucial for this metric to be addressed. After-Contact Work Agents need to record information and other data after a call is finished.

Call Center 52

Call Center Abandon rate Metrics Upselling 52

Horizon CX

FEBRUARY 29, 2024

The Power of Purging Perfunctory Performance Introduction In the bustling world of business, where metrics often dominate discussions and efficiency reigns supreme, one crucial aspect can sometimes be overlooked: the human element. Encourage employees to take ownership of customer interactions and use their judgment to exceed expectations.

Morale 52

Morale Customer centricity Upselling Feedback 52

Callminer

JUNE 3, 2019

It also removes the potential for any internal bias, offering both agents and managers the peace-of-mind they need to ensure they’re holding each other accountable. The problem: Agents are at the frontline when it comes to customer experience – and so their performance plays a huge factor in company metrics.

Best practices 140

Best practices Average Handle Time Analytics Coaching 140

Calltools

JANUARY 11, 2023

Practice Data and List Management. Focus Training on Agent Metrics. Using a high-quality calling script can help enhance your success of cold calling too, making sure to be respectful and ethical when placing calls. Monitor your KPI Metrics. Your call center should closely monitor KPI metrics.

Telemarketing 52

Telemarketing Metrics Call Center Healthcare 52

Quality Contact Solutions

SEPTEMBER 14, 2022

Ask managers and supervisors to provide scripts, training material, and several recorded calls. Listen to the recorded calls to get a better understanding of how the scripts are being used. This will also give you a good idea if the script is laid out well for the telemarketing agents. Look for trends in the data.

Telemarketing 98

Telemarketing Wireless Morale Scripts 98

aircall

MAY 14, 2021

An algorithm is simply a mathematical equation that uses data to give instructions to a device. They utilize call metrics to predict when a live agent is ready to make the next call, seconds after finishing the previous call. Performs better with large campaigns so the algorithm has more data to work with.

voip 62

voip Telemarketing Scripts Abandon Call 62

aircall

OCTOBER 6, 2021

You need to create an individualized experience for your company that keeps everyone on the same page while also taking into account what’s unique about where they work. Give plenty of tools and resources, like phone scripts and email templates, for a variety of different sales situations and opportunities.

Sales 117

Sales Scripts Best practices Feedback 117

Customer Relationship Metrics

JULY 26, 2017

Ownership over Accountability. When your focus is on how to hold people accountable, it takes your focus off an important question: “Why do we need to hold people accountable in the first place?”. She states that if you believe people need to be held accountable, what is YOUR underlying belief? Why is that? Ownership.

Contact Center 211

Contact Center Calibration Construction Customer centricity 211

Dialer 360

AUGUST 1, 2022

This is the process of recording and analyzing call center metrics to improve performance. Call center metrics can include things like call volume, average call time, abandon rate, or first call resolution rate. By analyzing these metrics, call center managers can identify problems and take steps to improve performance.

Best practices 49

Best practices Call Center Scripts First call resolution 49