Results 41 to 50 of about 9,076 (200)

A Churn Prediction System for Telecommunication Company Using Random Forest and Convolution Neural Network Algorithms

EAI Endorsed Transactions on Mobile Communications and Applications, 2022
INTRODUCTION: Customer churn is a severe problem of migrating from one service provider to another. Due to the direct influence on the company's sales, companies are attempting to promote strategies to identify the churn of prospective consumers.
Sulaiman Olaniyi Abdulsalam, Jumoke Falilat Ajao, Bukola Fatimah Balogun, Micheal Olaolu Arowolo   +3 more
doaj   +1 more source

Harnessing Generative AI for Sustainable Supply Chains: Lean, Circular and Green Perspectives

Business Strategy and the Environment, EarlyView.
ABSTRACT Generative artificial intelligence is playing a significant role in the transformation of digital ecosystems by reinventing the processes of content generation, process automation, product innovation and customer experience. At the same time that these technologies are becoming more integrated into routine operations, the focus has shifted to ...
Ashutosh Singh, Rsha Alghafes, Judit Petra Koltai, Sushant Kumar Vishnoi   +3 more
wiley   +1 more source

A Non-Sequential Representation of Sequential Data for Churn Prediction [PDF]

, 2009
We investigate the length of event sequence giving best predictions when using a continuous HMM approach to churn prediction from sequential data. Motivated by observations that predictions based on only the few most recent events seem to be the most ...
A. Lemmens, C.-P. Wei, D. Ruta, J.R. Quinlan, L. Breiman, R. Duda, T.G. Dietterich, Y. Freund, Y.-S. Chen   +8 more
core   +1 more source

Optimizing Monetization Strategies for Generative AI Firms: Implications for Search Engagement

Psychology &Marketing, EarlyView.
ABSTRACT As Generative Artificial Intelligence (GenAI) platforms, such as ChatGPT, have transformed digital search querying behavior, mounting operational costs challenge firms to explore alternative monetization strategies beyond traditional subscription models.
Veronica Rosendo‐Rios, Paurav Shukla
wiley   +1 more source

GA optimization-based BRB AI reasoning algorithm for determining the factors affecting customer churn for operators

Social Sciences and Humanities Open
Customer churn directly leads to the weakening of the economic efficiency of an operator and even the loss of its competitive advantage in the market share. The identification and prediction of customer churn in the era of interconnection has become more
Liu Kun, Hassan Alli, Khairul Aidil Azlin Abd Rahman   +2 more
doaj   +1 more source

Behavioral Modeling for Churn Prediction: Early Indicators and Accurate Predictors of Custom Defection and Loyalty

, 2015
Churn prediction, or the task of identifying customers who are likely to discontinue use of a service, is an important and lucrative concern of firms in many different industries.
Blumenstock, Joshua, Khan, Muhammad R., Manoj, Johua, Singh, Anikate   +3 more
core   +1 more source

From a ‘patchwork of platforms’ to the platformized school? The changing nature of data infrastructures in education

British Journal of Educational Technology, EarlyView.
Abstract This article examines recent trends in the data infrastructures of Australian schools. Data interoperability has become integral to school operations as it enables data to flow between the array of applications that are used by the school and the broader school system by using a standardized format.
Luci Pangrazio
wiley   +1 more source

Prediction of bank credit customers churn based on machine learning and interpretability analysis

Data Science in Finance and Economics
Nowadays, traditional machine learning methods for building predictive models of credit card customer churn are no longer sufficient for effective customer management. Additionally, interpreting these models has become essential.
Ying Li, Keyue Yan
doaj   +1 more source

Bake Sales to Save Nature: Why Wall Street Conservation Survives

Development and Change, EarlyView.
ABSTRACT Academics have spent decades analysing the harms and failures of market and finance‐led biodiversity policy. Yet, even though ‘selling nature to save it’ looks less like the promised green capitalism and more like a decades‐long bake sale in that its efforts are small, piecemeal and rely on copious amounts of cheap capital, the approach ...
Jessica Dempsey
wiley   +1 more source

Churn prediction for SaaS company with machine learning [PDF]

Innovation & Management Review
Purpose – In an era marked by fierce business competition, customer retention is crucial for sustaining profitability. Churn prediction, the ability to forecast customer defections, is essential to enhance retention and can profoundly impact a company’s ...
Hugo Eduardo Sanches, Ayslan Trevizan Possebom, Linnyer Beatrys Ruiz Aylon   +2 more
doaj   +1 more source