AWS Machine Learning

APRIL 21, 2023

This step uses the built-in ProcessingStep with the provided code, evaluation.py , to evaluate performance metrics (accuracy, area under curve). Configure the baseline step To monitor the model and data, a baseline is required. Monitoring for data drift requires a baseline of training data. medium', 'ml.m5.xlarge'],

Metrics 80

Metrics Telecommunications Analytics Healthcare 80

SmartKarrot

MAY 26, 2022

This data goes unused cause the company does not have the tools and technology to understand, capture, or make sense of it. The Role of the Modern CEO in creating a data-driven culture. Data has been recognized as a need. As per HBR, “The CEO relies on data for decision making and enhancing the business to the whole company.”

Education 10

Education Analytics SaaS Surveys 10

AWS Machine Learning

JUNE 3, 2024

For Objective metric , leave as the default F1. F1 averages two important metrics: precision and recall. Review model metrics Let’s focus on the first tab, Overview. The advanced metrics suggest we can trust the resulting model. This instance configuration is sufficient for the demo. Set Instance count to 1.

Surveys 97

Surveys Metrics Analytics Engineering 97

SmartKarrot

AUGUST 12, 2021

AI-enabled analytics for vital customer insights. AI-enabled analytics can sift through a more extensive and complex data space, thus covering multiple business opportunities. As a result, you can spend your time arranging these insights rather than working on underlying data. In contrast, decisions should depend on data.

Customer Experience 11

Customer Experience Automotive Chatbots Big data 11

AWS Machine Learning

JULY 29, 2022

Customer satisfaction is a potent metric that directly influences the profitability of an organization. In this demo, we use an Asterisk server (a free contact center framework) deployed on an Amazon EC2 server to emulate a contact center connected to the PSTN through an Amazon Chime Voice Connector.

Contact Center 104

Contact Center Interactive Voice Response Self service Accountability 104

aircall

APRIL 16, 2021

Establish performance metrics (response time, retention, engagement, etc.). SaaS works well for a variety of general use cases, including: Data backup. Big data analytics. 4) Investing too much time on product demos. A demo is an opportunity to spark someone’s interest in your products and services.

SaaS 62

SaaS Sales Coaching APIs 62

AWS Machine Learning

JULY 14, 2022

Through model monitoring, model explainability, analytics, and bias detection, Fiddler provides your company with an easy-to-use single pane of glass to ensure your models are behaving as they should. The notebook also provides a sample dataset to run Fiddler’s explainability algorithms and as a baseline for monitoring metrics.

Enterprise 82

Enterprise Engineering Analytics Big data 82

AWS Machine Learning

AUGUST 22, 2023

The evaluation takes place on a testing dataset existing only on the server, and the new improved accuracy metrics are produced. For demo purposes, we use the testing dataset that we set aside in data preparation to evaluate the model federated from the client’s account and communicate the result back to the client.

Scripts 77

Scripts Accountability Transportation Benchmark 77

Clarabridge

MARCH 2, 2017

Some companies use metrics creatively. A single score is more of a comfort blanket than it is a metric. Dale is one of the top thought leaders in big data and analytics by Analytics Week, a contributor to business and technology publications including Wired and ClickZ and a Fellow of the Royal Society of Arts.

Benchmark 49

Benchmark Government Big data Analytics 49

Clarabridge

MARCH 2, 2017

Some companies use metrics creatively. A single score is more of a comfort blanket than it is a metric. Dale is one of the top thought leaders in big data and analytics by Analytics Week, a contributor to business and technology publications including Wired and ClickZ and a Fellow of the Royal Society of Arts.

Benchmark 45

Benchmark Government Big data Analytics 45

SmartKarrot

APRIL 15, 2022

Apart from being a huge repository of knowledge on CRM, this updated version also offers adds new case studies and updated screenshots, and also includes emerging CRM trends such as AI, big data, chatbots, etc. The book serves as a hands-on guide that shows how to use data to fight churn. What makes it a must-read. Conclusion.

Customer retention 19

Customer retention CRM SaaS Customer centricity 19

Balto

SEPTEMBER 12, 2023

Harnessing Predictive Analytics for Enhanced CX Utilizing predictive analytics enables you to gain accurate insights about what your customers need and expect from your institution. Other types of data that it collects include customer demographics, lifestyle, and interests.

Customer Experience 52

Customer Experience Customer centricity Coaching Analytics 52