AWS Machine Learning

FEBRUARY 2, 2023

The player data was used to derive features for model development: X – Player position along the long axis of the field Y – Player position along the short axis of the field S – Speed in yards/second; replaced by Dis*10 to make it more accurate (Dis is the distance in the past 0.1

Calibration 98

Calibration Engineering Big data Automotive 98

NobelBiz

APRIL 30, 2024

This evolution has been driven by advancements in machine learning, natural language processing, and big data analytics. Book a demo Key AI Technologies Used in Call Centers AI technologies play a pivotal role in modernizing call centers, enhancing both customer interactions and operational efficiencies.

Call Center 104

Call Center Chatbots Virtual Agent Contact Center 104

AWS Machine Learning

JULY 14, 2022

The notebook also provides a sample dataset to run Fiddler’s explainability algorithms and as a baseline for monitoring metrics. With your baseline data, model, and traffic connected, you can now explain data drift , outliers, model bias , data issues, and performance blips, and share dashboards with others.

Enterprise 98

Enterprise Engineering Analytics Big data 98

ClearAction

MAY 2, 2016

Other marketing maturity models are holistic, it seems, yet the approach taken is stymied because of moving targets in emerging marketing practices, such as the advent of big data or digital marketing, which weren’t on the horizon of yesteryear. Metrics monitor the health and provide ongoing inputs to all of the above.

Marketing 62

Marketing Accountability Enterprise Metrics 62

Totango

SEPTEMBER 17, 2019

Your customer data platform can collect, organize, and present information in real-time. Carefully monitoring this metric can reveal customer behavior patterns and the use of specific features during key organizational campaigns or seasons. Clean Up Messy Data. Cause and Effect.

Metrics 64

Metrics Enterprise Big data Customer Experience 64

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

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 108

Metrics Telecommunications Analytics Big data 108

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

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 98

Scripts Accountability Transportation Benchmark 98

Balto

AUGUST 8, 2024

AI call center solutions enable you to create hyper-personalized experiences for your customers based on big data analytics that include past interactions, purchase history, buying preferences, and more. Book a demo to experience the future of the call center with Balto.

Call Center 52

Call Center Interactive Voice Response Coaching Chatbots 52

Voxjar

JUNE 8, 2021

The next two vendors will hopefully introduce you to a new approach to quality assurance in your call center, powered by artificial intelligence and big data. They have some cool out of the box metrics like their Tethr Effort Score and some great shortcuts for setting up new analytics categories.

Call Center 51

Call Center Analytics Enterprise Sales 51

Balto

SEPTEMBER 12, 2023

The Need for Understanding Customer Desires in Customer Experience Management A predictive analytics solution collects huge amounts of data across different customer touchpoints and calculates relevant metrics from your customers’ interactions, such as handling time, agent behavior, queue length, and other relevant call center metrics and KPIs.

Customer Experience 52

Customer Experience Customer centricity Coaching Analytics 52

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

SmartKarrot

AUGUST 12, 2021

The power of AI, ML, and big data has facilitated a decision-making metric. In contrast, decisions should depend on data. To understand how SmartKarrot can helps SaaS companies keep and grow loyal customers, Request a Demo. All these accomplishments can be made through a dramatic shift in terms of decision-making.

Customer Experience 11

Customer Experience Automotive Chatbots Big data 11

SmartKarrot

JANUARY 28, 2022

AI and ML can help you generate metadata data, engagement data, and product adoption data to learn the renewal history that helps decode what drives the renewals and upsells. With the help of its advanced AI model and big data crunching, you can learn about every new renewal, upsell, and even churn!

B2B 10

B2B SaaS Upselling Metrics 10

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. For example- You can share a dashboard of the key metrics that matter across the company.

Education 10

Education SaaS Analytics Surveys 10

AWS Machine Learning

SEPTEMBER 26, 2024

Amazon SageMaker Studio provides a single web-based visual interface where different personas like data scientists, machine learning (ML) engineers, and developers can build, train, debug, deploy, and monitor their ML models. Vijay Velpula is a Data Architect with AWS Professional Services.

Scripts 119

Scripts Accountability Engineering Big data 119

AWS Machine Learning

NOVEMBER 13, 2024

SageMaker Model Registry catalogs your models along with their versions and associated metadata and metrics for training and evaluation. Evaluate your training data for data quality, including feature importance and bias, and update the model package version with relevant evaluation metrics.

Government 113

Government Engineering Metrics APIs 113

AWS Machine Learning

APRIL 16, 2025

Instead of spending valuable engineering hours manually parsing logs, tracking metrics, and implementing fixes, teams should focus on driving innovation. We use the following prompt: We got a down alert for the memory-demo app. Now, with the power of generative AI , you can transform your Kubernetes operations.

APIs 93

APIs Engineering Accountability Enterprise 93