Callminer

JULY 23, 2019

Providing feedback to agents in your call center is entirely needed to maintain and improve a quality facility. However, knowing how to deliver feedback can be tricky. Unfortunately, there are a number of pitfalls that can derail the process of delivering effective feedback.

Best practices 140

Best practices Feedback Call Center Coaching 140

AWS Machine Learning

APRIL 11, 2023

Streamlit applications are useful for presenting progress on a project to your team, gaining and sharing insights to your managers, and even getting feedback from customers. As an example, we use a custom Amazon Rekognition demo, which will annotate and label an uploaded image. A user first accesses Studio through the browser.

Scripts 72

Scripts Automotive Engineering Healthcare 72

AWS Machine Learning

MAY 10, 2023

Examples of such use cases include scaling up a feature engineering job that was previously tested on a small sample dataset on a small notebook instance, running nightly reports to gain insights into business metrics, and retraining ML models on a schedule as new data becomes available.

Scripts 73

Scripts Automotive Engineering Enterprise 73

NobelBiz

APRIL 16, 2024

Example: A call center might receive customer queries through phone calls and social media. Example: A call center might use email, SMS, phone calls, and social media to engage with customers. For example, SMS might be reserved for urgent notifications, while emails are used for detailed follow-up content.

Contact Center 52

Contact Center CRM Call Center Best practices 52

SmartKarrot

JANUARY 13, 2022

Here is a list of human-centered AI examples people have started using in their daily routines. For long, call centers have been performance-based, depending on a combination of well-thought scripting and close supervision to reduce call times and maximize first-call resolution. Getting rid of bias during the hiring process.

Healthcare 10

Healthcare Education Automotive Big data 10

AWS Machine Learning

AUGUST 8, 2022

Internet of Things (IoT) has enabled customers in multiple industries, such as manufacturing, automotive, and energy, to monitor and control real-world environments. After the tests run successfully, the CI/CD pipeline requires manual approval (for example, from the IoT stakeholder to promote the model to production).

Management 83

Management Accountability Engineering Scripts 83

AWS Machine Learning

MARCH 15, 2024

To create these packages, run the following script found in the root directory: /build_mlops_pkg.sh As always, AWS welcomes your feedback. An entry in the config/fedml_config.yaml file declares the experiment prefix, which is referenced in the code to create unique experiment names: sm_experiment_name: "fed-heart-disease".

Healthcare 104

Healthcare Big data Engineering Accountability 104