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Predictive Analytics 

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  1. 2024 | OriginalPaper | Buchkapitel

    Predictive Analytics and Machine Learning in FinTech

    In this chapter, the strategic applications and revolutionary influence of machine learning and predictive analytics in the Financial Technology (FinTech) business are investigated in great detail. At the beginning of the work, a full explanation …

    verfasst von:
    Gioia Arnone
    Erschienen in:
    AI and Chatbots in Fintech (2024)
  2. 2024 | OriginalPaper | Buchkapitel

    From Preventive Maintenance to Predictive Analytics: Insights into the Evolution of AMS for Physical Assets

    This scientific article exposes the evolution of physical asset management software, starting with the Computerized Maintenance Management System (CMMS), which was the first software to be used for physical asset management, providing an overview …

    verfasst von:
    João Costa, Leonardo Torres, Mariana Borges
    Erschienen in:
    Proceedings of the UNIfied Conference of DAMAS, IncoME and TEPEN Conferences (UNIfied 2023) (2024)
  3. 2024 | OriginalPaper | Buchkapitel

    Exploring the Impact of Predictive Analytics on Decision Making and Efficiency in the Banking Industry

    Business use of analytical technologies has been on the rise in recent years as a key strategic set of tools for managing big data. The banking sector, in particular, experienced considerable interaction with customers using several channels that …

    verfasst von:
    Ashraf Bany Mohammed, Raghad Al-Rafaia, Dhia Qasim, Manaf Al-Okaily, Abdalmuttaleb Al-Sartawi
    Erschienen in:
    Artificial Intelligence and Economic Sustainability in the Era of Industrial Revolution 5.0 (2024)
  4. 2024 | OriginalPaper | Buchkapitel

    Predictive Model Analytics Using Data Mining and Machine Learning: A Case Study on Forecasting GCC Power Demand

    The electricity demand forecast is a vital tool to be able to achieve energy sustainability and economic reliability as the world today runs on energy, thermal, renewable, nuclear, etc. Predicting electricity energy consumption is critical in any …

    verfasst von:
    Ali Al-Ebrahim, Shahrayar Sarkani, Ammar Al Dallal
    Erschienen in:
    Artificial Intelligence and Economic Sustainability in the Era of Industrial Revolution 5.0 (2024)
  5. 2024 | OriginalPaper | Buchkapitel

    “The AI Revolution in E-Commerce: Personalization and Predictive Analytics

    E-commerce, has totally changed the way we purchase goods and do business. Customers may now browse, purchase, and receive goods all from the comfort of their own homes, thanks to advancements in technology and the expansion of the internet. Over …

    verfasst von:
    Chitra Krishnan, Jasmine Mariappan
    Erschienen in:
    Role of Explainable Artificial Intelligence in E-Commerce (2024)
  6. 2024 | OriginalPaper | Buchkapitel

    Predictive Analytics in Marketing Using Artificial Intelligence

    In today’s dynamic and rapidly evolving business landscape, the implementation of artificial intelligence (AI) in marketing has become imperative for achieving swift and effective outcomes. AI marketing encompasses the utilization of AI technology …

    verfasst von:
    Rishi Prakash Shukla, Divya Juneja, Shriya Monga
    Erschienen in:
    Advances in Data-Driven Computing and Intelligent Systems (2024)
  7. 2024 | OriginalPaper | Buchkapitel

    Artificial Intelligence and Predictive Analytics: Towards a Praxis of Personalised Shopping Experiences

    Fashion and luxury customers alike expect seamless and personalised shopping experiences, particularly Millennials and Generation Z consumers who begin their journey with a brand online. The fashion industry has changed social trends, people’s …

    verfasst von:
    Wilson Ozuem, Michelle Willis
    Erschienen in:
    Digital Transformation for Fashion and Luxury Brands (2024)
  8. 25.03.2024 | OriginalPaper

    Review of Methods for Predictive Analytics of Cells of 6 – 10 kV Integrated Switchgear

    During the operation of electrical equipment in 6 – 10 kV distribution networks, various situations that increase the intensity of operation of the circuit breakers inevitably arise. The existing methods and technologies are reviewed, and block …

  9. 2024 | OriginalPaper | Buchkapitel

    Demand Forecasting in the Food Equipment Industry Using Predictive Data Analytics Techniques

    Although food and restaurants are two of the most trending entertainment sectors in Saudi Arabia, where the equipment industry is a massive contributor to the enrichment of this trending environment, a major appliance manufacturer is facing …

    verfasst von:
    Ammar Y. Alqahtani, Anas A. Makki
    Erschienen in:
    Industrial Engineering and Industrial Management (2024)
  10. Open Access 18.01.2024 | OriginalPaper

    A predictive analytics framework for sensor data using time series and deep learning techniques

    IoT devices convert billions of objects into data-generating entities, enabling them to report status and interact with their surroundings. This data comes in various formats, like structured, semi-structured, or unstructured. In addition, it can …

  11. 2024 | OriginalPaper | Buchkapitel

    Predictive Analytics of Bitcoin Cryptocurrency Price Prediction: A Recurrent Neural Network Approach

    Bitcoin is currently the most well-known cryptocurrency, and its market is extremely volatile. The evolution of the financial system is influenced by the growing popularity and commercial acceptance of investors worldwide. Investments are at risk …

    verfasst von:
    Anandhavalli Muniasamy, Salma Abdulaziz Saeed Alquhtani, Linda Elzubair Gasim Alsid
    Erschienen in:
    AI in Business: Opportunities and Limitations (2024)
  12. 2024 | OriginalPaper | Buchkapitel

    Developing a Predictive Model to Identify and Analyse Vehicle Attributes in the Indian Automotive Supply Chain Using Big Data Analytics and MCDM Techniques

    Automotive supply chain has undergone a shift in customer preferences towards vehicle features. The COVID pandemic increased demand for personal mobility thus affecting the Indian economy and changing customer attitudes towards cars. Also, the …

    verfasst von:
    Ruben Kuruvilla Thomas, Rinu Sathyan, Sandeep Sunil, A. S. Abin
    Erschienen in:
    Recent Advances in Operations Management and Optimization (2024)
  13. 2024 | OriginalPaper | Buchkapitel

    Geospatial Predictive Analytics Model for Urban Impervious Surface Detection: A Study on North Central Province, Sri Lanka

    Impervious surfaces change the natural hydrology due to lower levels of water infiltration, increasing stream peak flows and flood risks. Concentrated storm water runoff over the landscape can contribute to pollutants and contamination of drinking …

    verfasst von:
    Indra Mahakalanda, Sandun Dassanayake, Dineth Chandrasiri, Shalitha Abeysingha, Ruvishan Vithanachchi, Nipun Tharuka
    Erschienen in:
    Recent Research on Geotechnical Engineering, Remote Sensing, Geophysics and Earthquake Seismology (2024)
  14. 2024 | OriginalPaper | Buchkapitel

    Application of Autoencoder for Control Valve Predictive Analytics

    In this paper, we investigated the application of an autoencoder neural network for predictive analytics of control valves, which are crucial components in industrial processes with significant consequences in case of failure. The autoencoder was …

    verfasst von:
    Michael Nosa-Omoruyi, Mohd Amaluddin Yusoff
    Erschienen in:
    International Congress and Workshop on Industrial AI and eMaintenance 2023 (2024)
  15. 2024 | OriginalPaper | Buchkapitel

    Predictive Analytics for Object-Centric Processes: Do Graph Neural Networks Really Help?

    The object-centric process paradigm is increasingly gaining popularity in academia and industry. According to this paradigm, the process delineates through the parallel execution of different execution flows, each referring to a different object …

    verfasst von:
    Riccardo Galanti, Massimiliano de Leoni
    Erschienen in:
    Business Process Management Workshops (2024)
  16. 2023 | OriginalPaper | Buchkapitel

    Predictive Analytics in Corporate Financial Management: A Case Study on Earnings Forecasting with a Global Logistics Service Provider

    Predictive Analytics is a tool in corporate financial management to gain a better understanding of the future based on forecasting models helping companies to prepare for future uncertainties and crises based on past data. This chapter describes a …

    verfasst von:
    Helena Kovacevic, Silke Waterstraat
    Erschienen in:
    Finance in Crises (2023)
  17. 2023 | Buch

    Predictive Analytics with KNIME

    Analytics for Citizen Data Scientists

    This book is about data analytics, including problem definition, data preparation, and data analysis. A variety of techniques (e.g., regression, logistic regression, cluster analysis, neural nets, decision trees, and others) are covered with …

    verfasst von:
    Frank Acito
    Verlag:
    Springer Nature Switzerland
  18. 2021 | OriginalPaper | Buchkapitel

    Bedeutung und Nutzen von Predictive Analytics für metallbasierte additive Fertigungssysteme

    Die vorliegende Arbeit zeigt, dass mit Hilfe von künstlicher Intelligenz ungeplante Ausfälle metallbasierter additiver Fertigungssysteme (PBF-LB/M-Systeme, Engl.: Laser-based powder bed fusion of metals) zu Beginn der Produktionsphase vorhergesagt …

    verfasst von:
    Daniel Beck, Frédéric Thiesse
    Erschienen in:
    Proceedings of the 17th Rapid.Tech 3D Conference Erfurt, Germany, 22–23 June 2021 (2021)
  19. 2024 | OriginalPaper | Buchkapitel

    Predictive Load Management Using IoT and Data Analytics

    The objective of this paper is to design and implement an Internet of Things (IoT) based energy data acquisition system that incorporates a Long Short Term Memory (LSTM) model for predicting household energy demand and optimizing energy …

    verfasst von:
    Sushil Phuyal, Shashwot Shrestha, Swodesh Sharma, Rachana Subedi, Shahabuddin Khan
    Erschienen in:
    Artificial Intelligence of Things (2024)
  20. 2023 | OriginalPaper | Buchkapitel

    Analysing Online Review by Bank Employees: A Predictive Analytics Approach

    Publicly available data on the web is a rich and important resource for generating valuable insights about our world. In this paper, we present the analysis of bank employee online review data obtained from an online platform that collects …

    verfasst von:
    Dominic Desmond Anil Abraham Emmanuel, Swee Chuan Tan, Priyanka Gupta
    Erschienen in:
    Information Integration and Web Intelligence (2023)

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